<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJCE</journal-id><journal-title-group><journal-title>Open Journal of Civil Engineering</journal-title></journal-title-group><issn pub-type="epub">2164-3164</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojce.2015.53029</article-id><article-id pub-id-type="publisher-id">OJCE-59256</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Engineering</subject></subj-group></article-categories><title-group><article-title>
 
 
  Choice of an Advanced Rheological Model for Modeling the Viscoelastic Behavior of Hot Mixtures Asphalt (HMA) from S&amp;eacute;n&amp;eacute;gal (West Africa)
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>ouhamed</surname><given-names>Lamine Ch&amp;eacute;rif Aidara</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Makhaly</surname><given-names>Ba</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Alan</surname><given-names>Carter</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>School of Superior Technologies (ETS), Director of Pavement Bituminous Materials Laboratory (LCMB), Montreal, Canada</addr-line></aff><aff id="aff1"><addr-line>UFR Engineering sciences, Thi&amp;amp;egrave;s University, Thi&amp;amp;egrave;s, S&amp;amp;eacute;n&amp;amp;eacute;gal</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>mouhamedlamine.aidara@univ-thies.sn(OLCA)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>21</day><month>07</month><year>2015</year></pub-date><volume>05</volume><issue>03</issue><fpage>289</fpage><lpage>298</lpage><history><date date-type="received"><day>3</day>	<month>July</month>	<year>2015</year></date><date date-type="rev-recd"><day>accepted</day>	<month>25</month>	<year>August</year>	</date><date date-type="accepted"><day>28</day>	<month>August</month>	<year>2015</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  The main purpose of this article is to choose among advanced rheological models used in the French rational design, one that best represents the viscoelastic behavior of asphalt mixtures mixed with aggregates of Senegal. The model chosen will be the basis for the development of computational tools for stress and strain for Senegal. However, the calibration of these models needs complex modulus test results. In opposition to mechanical models the complex modulus can directly characterize the viscoelastic behavior of bituminous materials. Here determination is performed in the laboratory by using several types of tests divided into two groups: homogeneous tests and non-homogeneous tests. The choice of model will be carried out by statistical analysis through the least squares method. To this end, a study was carried out to “Laboratory of Pavement and Bituminous Materials” (LCMB) with asphalt concrete mixed with aggregate from Senegal named basalt of Diack and quartzite of Bakel. In this study, the test used to measure the complex modulus is the Canadian test method LC 26-700 (Determination of the complex modulus by tension-compression). There mainly exist two viewing complex modulus planes for laboratory test results: the Cole and Cole plane and the Black space. The uniqueness of the data points in these two areas means that studied asphalt concretes are thermorheologically simple and that the principle of time-temperature superposition can be applied. This means that the master curve may be drawn and that the same modulus value can be obtained for different pairs (frequency-temperature). These master curves are fitted during the calibration process by the advanced rheological models. One of the most used software in the French rational design for the visualization of complex modulus test results and calibration of rheological models developed tools is named Visco-analysis. In this study, its use in interpreting the complex modulus test results and calibration models shows that, the studied asphalt concretes are thermorheologically simple, because they present good uniqueness of their Black and Cole and Cole and Black diagrams. They allow a good application of the principle of time temperature superposition. The statistical analysis of calibration models by the least squares method has shown that the three studied models are suitable for modeling the linear viscoelastic behavior of asphalt mixtures formulated with the basalt of Diack and the quartzite of Bakel. Indeed their calibration has very similar precision values of “Sum of Squared Deviation” (SSD) about 0.185. However, the lower precision value (0.169) is obtained with the 2S2P1D model.
 
</p></abstract><kwd-group><kwd>Complex and Dynamic Modulus</kwd><kwd> Viscoelastic</kwd><kwd> Huet</kwd><kwd> Huet-Sayegh</kwd><kwd> 2S2D1P</kwd><kwd> Visco-Analyse</kwd><kwd> Sum of Squared Deviation</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Asphalt concretes behavior is linear viscoelastic to low deformations and low cycles of loading [<xref ref-type="bibr" rid="scirp.59256-ref1">1</xref>] . This behavior is intermediate between the behavior of a perfect elastic solid and that of a Newtonian liquid [<xref ref-type="bibr" rid="scirp.59256-ref2">2</xref>] . In a linear viscoelastic behavior, the material properties are assumed independents of the applied stress or strain levels. The analysis of the linear viscoelastic behavior is done either by using the rheological models, or complex modulus, or creep compliance. These three methods are linked. In fact the conversion from creep compliance to the mechanical model is possible by the method of successive residuals, and the change from the complex modulus to creep compliance by the Fourier transforms [<xref ref-type="bibr" rid="scirp.59256-ref2">2</xref>] . The complex modulus E<sup>*</sup> is defined as a complex number that links stress to strain for a linear viscoelastic material subjected to a sinusoidal loading [<xref ref-type="bibr" rid="scirp.59256-ref3">3</xref>] . The absolute value of the complex modulus is commonly referred to as the “dynamic” modulus |E<sup>*</sup>| [<xref ref-type="bibr" rid="scirp.59256-ref4">4</xref>] . The phase angle <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x5.png" xlink:type="simple"/></inline-formula> characterizes the deviation between stress and strain of a viscoelastic material. The |E<sup>*</sup>| is an approximation of the elastic modulus of a viscoelastic material, which can be used for pavement design when the laws of elasticity are employed. When the laws of viscoelasticity are applied, the mechanical models are used. In pavement design, the asphalt concrete layer can be considered as elastic or viscoelastic materials. The MEPDG [<xref ref-type="bibr" rid="scirp.59256-ref5">5</xref>] and the Aliz&#233;- LCPC software’s [<xref ref-type="bibr" rid="scirp.59256-ref6">6</xref>] consider asphalt concretes as elastic materials, characterized by dynamic modulus and Poisson ratio. Software which uses viscoelastic behavior needs to calibrate viscoelastic analogic model like the Huet, the Huet-Sayegh and the 2S2P1D models by complex modulus laboratory test results. In this study these models will be calibrated with results from complex modulus test (LC 26-700) performed with six asphalt concretes. The goodness of fit is measured statistically by the least squares method through the “Sum of Squared Deviation” (SSD).</p></sec><sec id="s2"><title>2. Methodology</title><sec id="s2_1"><title>2.1. The Advanced Viscoelastic Rheological Models</title><p><xref ref-type="fig" rid="fig1">Figure 1</xref> shows the first advanced viscoelastic model. That model is the Huet model [<xref ref-type="bibr" rid="scirp.59256-ref7">7</xref>] . These components are one spring and one dashpot connected in series. The Huet model is characterized by an infinite number of kelvin Voigt models in series or Maxwell models in parallel. His spectrum is continuous.</p><p>The express of complex modulus E<sup>*</sup> by the Huet model is done by Equation (1).</p><disp-formula id="scirp.59256-formula923"><label>(1)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/3-1880380x6.png"  xlink:type="simple"/></disp-formula><p>with (i) the complex number defined by i<sup>2</sup> = -1 ; ω = 2π frequency, pulsation; E<sub>∞</sub>: limit of the complex modulus when ωτ → ∞; h, k: exponents such that<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x7.png" xlink:type="simple"/></inline-formula>; δ: dimensionless constant; τ: time characteristic whose value varies only with temperature. Huet model is limited at high temperatures and low frequencies because it has not a static modulus E<sub>0</sub>.</p><p>Huet-Sayegh model solve this problem by added a spring in parallel to Huet model [<xref ref-type="bibr" rid="scirp.59256-ref8">8</xref>] . The spring represents</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Huet model</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-1880380x8.png"/></fig><p>the static modulus [<xref ref-type="bibr" rid="scirp.59256-ref9">9</xref>] (<xref ref-type="fig" rid="fig2">Figure 2</xref>). Equation (2) shows the express of complex modulus by the Huet-Sayegh model.</p><disp-formula id="scirp.59256-formula924"><label>(2)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/3-1880380x9.png"  xlink:type="simple"/></disp-formula><p>with (i) the complex number defined by i<sup>2</sup> = -1; ω = 2π frequency, pulsation; E<sub>∞</sub>: limit the complex modulus when ωτ → ∞; E<sub>0</sub> the static modulus of spring; h, k: exponents such that<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x10.png" xlink:type="simple"/></inline-formula>; δ: dimensionless constant; τ: time characteristic whose value varies only with temperature. As Huet model, Huet-Sayegh model is characterized by a continuous spectral.</p><p>Di Benedetto and colleagues [<xref ref-type="bibr" rid="scirp.59256-ref10">10</xref>] developed the 2S2P1D model. The model is obtained by added a linear dashpot in series to Huet-Sayegh model (<xref ref-type="fig" rid="fig3">Figure 3</xref>). The 2S2P1D model improves the Huet-Sayegh model at high temperatures and low frequencies [<xref ref-type="bibr" rid="scirp.59256-ref9">9</xref>] .</p><p>Equation (3) shows the express of complex modulus by the 2S2P1D model.</p><disp-formula id="scirp.59256-formula925"><label>(3)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/3-1880380x11.png"  xlink:type="simple"/></disp-formula><p>where (i) is the complex number defined by i<sup>2</sup> = -1; *ω = 2π frequency pulse; k, h are exponents such that<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x12.png" xlink:type="simple"/></inline-formula>; E<sub>0</sub> (“static module”) when the module ωτ → 0; E<sub>∞</sub> (“glassy modulus”) when the module ωτ → ∞; τ: time characteristic, whose value depends only on the temperature; β: dimensionless constant; η: viscosity Newtonian;<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x13.png" xlink:type="simple"/></inline-formula>. When ωτ → 0, then<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x14.png" xlink:type="simple"/></inline-formula>.</p></sec><sec id="s2_2"><title>2.2. Complex Modulus Test and Results Visualization</title><p>The complex modulus test is used to measure the dynamic modulus |E<sup>*</sup>| of asphalt concrete named “Hot Mixture Asphalt” (HMA) at different temperatures and loading frequencies. The test can be conducted in a uniaxial or triaxial condition in either compression or tension. However, the majority of tests during the past years were in compression [<xref ref-type="bibr" rid="scirp.59256-ref12">12</xref>] . When the test is conducted in compression, the specimen experiences creep, in addition to the dynamic response. In the analysis of results, the creep response is typically ignored and the dynamic modulus is taken as the ratio of the amplitude of the dynamic stress to the amplitude of the dynamic strain. The tension/ compression test on cylindrical specimen belongs to the homogeneous tests, i.e. it makes it possible to obtain directly the linear viscoelastic behavior through the complex modulus. The principle of this test consists in soli- citing in traction and compression a cylindrical specimen in a continuous way according to a sinusoidal signal (traction/compression) centered on zero and applied according to the axial direction of the specimen. In the case of a complex modulus test, a low number of cycles are applied to various frequencies [<xref ref-type="bibr" rid="scirp.59256-ref13">13</xref>] . Complex modulus tests were performed using the Direct Traction-Compression (DTC) test on cylindrical samples according to Canadian and European standards (LC 26-700 and NF EN 12697-26, respectively). Six mixtures (<xref ref-type="table" rid="table1">Table 1</xref>) were studied (BDC, BDD BDF, GDC, GDD and GDF). Each formula undergoes measurements at temperatures of 0˚C, 10˚C, 20˚C, 30˚C, 40˚C and 55˚C and for each temperature the frequencies are 10 Hz, 5 Hz, 1 Hz, 0.3 Hz</p><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Huet-Sayegh model</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-1880380x15.png"/></fig><fig id="fig3"  position="float"><label><xref ref-type="fig" rid="fig3">Figure 3</xref></label><caption><title> 2S2D1P model</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-1880380x16.png"/></fig><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Components of asphalt concrete studied</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Mix composition</th><th align="center" valign="middle"  colspan="2"  >Quartzit dense-dense GDD</th><th align="center" valign="middle"  colspan="2"  >Quartzit dense-fine GDF</th><th align="center" valign="middle"  colspan="2"  >Quartzit dense-coarse GDC</th></tr></thead><tr><td align="center" valign="middle" >% in aggregate mixture</td><td align="center" valign="middle" >% in HMA</td><td align="center" valign="middle" >% in aggregate mixture</td><td align="center" valign="middle" >% in HMA</td><td align="center" valign="middle" >% in aggregate mixture</td><td align="center" valign="middle" >% in HMA</td></tr><tr><td align="center" valign="middle" >Aggregate 0/3 mm</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >55.05</td><td align="center" valign="middle" >65</td><td align="center" valign="middle" >61.62</td><td align="center" valign="middle" >49.4</td><td align="center" valign="middle" >49.4</td></tr><tr><td align="center" valign="middle" >Aggregate 3/8 mm</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >11.39</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >18.96</td><td align="center" valign="middle" >23.75</td><td align="center" valign="middle" >23.75</td></tr><tr><td align="center" valign="middle" >Aggregate 8/14 mm</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >28.48</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >14.22</td><td align="center" valign="middle" >21.85</td><td align="center" valign="middle" >21.85</td></tr><tr><td align="center" valign="middle" >Bitumen 35/50 or PG 70/16</td><td align="center" valign="middle" >5.35</td><td align="center" valign="middle" >5.08</td><td align="center" valign="middle" >5.48</td><td align="center" valign="middle" >5.2</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >5</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Mix composition</td><td align="center" valign="middle"  colspan="2"  >Basalt dense-dense BDD</td><td align="center" valign="middle"  colspan="2"  >Basalt dense-fine BDF</td><td align="center" valign="middle"  colspan="2"  >Basalt dense-coarse BDC</td></tr><tr><td align="center" valign="middle" >% in aggregate mixture</td><td align="center" valign="middle" >% in HMA</td><td align="center" valign="middle" >% in aggregate mixture</td><td align="center" valign="middle" >% in HMA</td><td align="center" valign="middle" >% in aggregate mixture</td><td align="center" valign="middle" >% in HMA</td></tr><tr><td align="center" valign="middle" >Aggregate 0/3 mm</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >47.53</td><td align="center" valign="middle" >60</td><td align="center" valign="middle" >56.94</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >30.53</td></tr><tr><td align="center" valign="middle" >Aggregate 3/8 mm</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >14.26</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >18.98</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >29.58</td></tr><tr><td align="center" valign="middle" >Aggregate 8/16 mm</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >33.27</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >18.98</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >35.3</td></tr><tr><td align="center" valign="middle" >Bitumen 35/50 or PG 70/16</td><td align="center" valign="middle" >5.2</td><td align="center" valign="middle" >4.94</td><td align="center" valign="middle" >5.38</td><td align="center" valign="middle" >5.11</td><td align="center" valign="middle" >4.81</td><td align="center" valign="middle" >4.59</td></tr></tbody></table></table-wrap><p>and 0.1 Hz. The apparatus used is a MTS Press imposing a strain of 50 μ def. During the test a 4 hours conditioning time is observed for each change in temperature so that it is homogeneous in the sample. The temperature changes are applied from the lowest to the highest. For each temperature, the stress is applied for different target frequencies from the highest to lowest with a limited number of cycles.</p></sec><sec id="s2_3"><title>2.3. Test Results</title><p>Visco-analyse is a LCPC (actual IFSTAR) software developed by Emmanuel Chailleux in 2007 [<xref ref-type="bibr" rid="scirp.59256-ref11">11</xref>] .</p><p>It is used to visualize the results of complex modulus test for asphalt concretes and bituminous binders, to build master curve and finally to calibrate the advanced viscoelastic models (Huet, Huet-Sayegh and 2S2P1D). Inputs are the dynamic modulus |E<sup>*</sup>| and phase angle measured in several temperatures and frequencies for each temperature. In this part, the complex modulus test results on studied mixtures (BDD, BDC, BDF, GDD, GDC et GDF) are visualized on Visco-analyse. <xref ref-type="table" rid="table2">Table 2</xref>, present the normalized files input for Visco-analyse Software. In fact two input files are proposed in this software. The first is specific to results of METRAVIB viscoelas- timeter. The second use an ascii normalized file as presented in <xref ref-type="table" rid="table2">Table 2</xref>.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> List of two normalized file inputs for Visco-analyse software</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >T (˚C)</th><th align="center" valign="middle"  rowspan="2"  >F. (Hz)</th><th align="center" valign="middle"  colspan="2"  >BDC mix</th><th align="center" valign="middle"  colspan="2"  >GDC mix</th><th align="center" valign="middle"  colspan="2"  >BDD mix</th><th align="center" valign="middle"  colspan="2"  >GDD mix</th><th align="center" valign="middle"  colspan="2"  >BDF mix</th><th align="center" valign="middle"  colspan="2"  >GDF mix</th></tr></thead><tr><td align="center" valign="middle" >|E<sup>*</sup>|</td><td align="center" valign="middle" >δ(˚)</td><td align="center" valign="middle" >|E<sup>*</sup>|</td><td align="center" valign="middle" >δ(˚)</td><td align="center" valign="middle" >|E<sup>*</sup>|</td><td align="center" valign="middle" >δ(˚)</td><td align="center" valign="middle" >|E<sup>*</sup>|</td><td align="center" valign="middle" >δ(˚)</td><td align="center" valign="middle" >|E<sup>*</sup>|</td><td align="center" valign="middle" >δ(˚)</td><td align="center" valign="middle" >|E<sup>*</sup>|</td><td align="center" valign="middle" >δ(˚)</td></tr><tr><td align="center" valign="middle" >0</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >8,063,000,000</td><td align="center" valign="middle" >15.3</td><td align="center" valign="middle" >5,851,000,000</td><td align="center" valign="middle" >16.7</td><td align="center" valign="middle" >6,604,000,000</td><td align="center" valign="middle" >14.39</td><td align="center" valign="middle" >10,668,000,000</td><td align="center" valign="middle" >14.9</td><td align="center" valign="middle" >10,028,000,000</td><td align="center" valign="middle" >11.1</td><td align="center" valign="middle" >7,428,000,000</td><td align="center" valign="middle" >15.6</td></tr><tr><td align="center" valign="middle" >0</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >9,587,000,000</td><td align="center" valign="middle" >12.7</td><td align="center" valign="middle" >7,126,000,000</td><td align="center" valign="middle" >14.1</td><td align="center" valign="middle" >7,670,000,000</td><td align="center" valign="middle" >12.15</td><td align="center" valign="middle" >12,613,000,000</td><td align="center" valign="middle" >12.5</td><td align="center" valign="middle" >11,255,000,000</td><td align="center" valign="middle" >10.4</td><td align="center" valign="middle" >8,760,000,000</td><td align="center" valign="middle" >13.2</td></tr><tr><td align="center" valign="middle" >0</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >11,146,000,000</td><td align="center" valign="middle" >10.5</td><td align="center" valign="middle" >08,454,000,000</td><td align="center" valign="middle" >11.9</td><td align="center" valign="middle" >8,828,000,000</td><td align="center" valign="middle" >10.20</td><td align="center" valign="middle" >14,674,000,000</td><td align="center" valign="middle" >10.3</td><td align="center" valign="middle" >12,823,000,000</td><td align="center" valign="middle" >9.2</td><td align="center" valign="middle" >10,242,000,000</td><td align="center" valign="middle" >11</td></tr><tr><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >12,592,000,000</td><td align="center" valign="middle" >9.1</td><td align="center" valign="middle" >9,636,000,000</td><td align="center" valign="middle" >9.9</td><td align="center" valign="middle" >9,838,000,000</td><td align="center" valign="middle" >9.31</td><td align="center" valign="middle" >16,194,000,000</td><td align="center" valign="middle" >7.7</td><td align="center" valign="middle" >14,231,000,000</td><td align="center" valign="middle" >8.3</td><td align="center" valign="middle" >11,516,000,000</td><td align="center" valign="middle" >9.3</td></tr><tr><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >14,105,000,000</td><td align="center" valign="middle" >7.7</td><td align="center" valign="middle" >11,052,000,000</td><td align="center" valign="middle" >8.6</td><td align="center" valign="middle" >11,364,000,000</td><td align="center" valign="middle" >8.02</td><td align="center" valign="middle" >18,107,000,000</td><td align="center" valign="middle" >6.7</td><td align="center" valign="middle" >15,802,000,000</td><td align="center" valign="middle" >7.5</td><td align="center" valign="middle" >13,420,000,000</td><td align="center" valign="middle" >8.3</td></tr><tr><td align="center" valign="middle" >10</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >3,887,000,000</td><td align="center" valign="middle" >26.3</td><td align="center" valign="middle" >2,331,000,000</td><td align="center" valign="middle" >30.7</td><td align="center" valign="middle" >2,397,000,000</td><td align="center" valign="middle" >27.76</td><td align="center" valign="middle" >4,622,000,000</td><td align="center" valign="middle" >30.5</td><td align="center" valign="middle" >5,259,000,000</td><td align="center" valign="middle" >18.2</td><td align="center" valign="middle" >2,358,000,000</td><td align="center" valign="middle" >31.5</td></tr><tr><td align="center" valign="middle" >10</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >5,146,000,000</td><td align="center" valign="middle" >22.2</td><td align="center" valign="middle" >3,205,000,000</td><td align="center" valign="middle" >25.7</td><td align="center" valign="middle" >3,254,000,000</td><td align="center" valign="middle" >24.09</td><td align="center" valign="middle" >6,391,000,000</td><td align="center" valign="middle" >24.8</td><td align="center" valign="middle" >6,398,000,000</td><td align="center" valign="middle" >16.6</td><td align="center" valign="middle" >3,355,000,000</td><td align="center" valign="middle" >27.1</td></tr><tr><td align="center" valign="middle" >10</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >6,724,000,000</td><td align="center" valign="middle" >18.1</td><td align="center" valign="middle" >4,372,000,000</td><td align="center" valign="middle" >21.6</td><td align="center" valign="middle" >4,352,000,000</td><td align="center" valign="middle" >20.26</td><td align="center" valign="middle" >8,540,000,000</td><td align="center" valign="middle" >19.6</td><td align="center" valign="middle" >7,817,000,000</td><td align="center" valign="middle" >14.7</td><td align="center" valign="middle" >4,672,000,000</td><td align="center" valign="middle" >22.6</td></tr><tr><td align="center" valign="middle" >10</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >8,264,000,000</td><td align="center" valign="middle" >14.9</td><td align="center" valign="middle" >5,545,000,000</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >5,470,000,000</td><td align="center" valign="middle" >17.38</td><td align="center" valign="middle" >10,434,000,000</td><td align="center" valign="middle" >15.8</td><td align="center" valign="middle" >9,286,000,000</td><td align="center" valign="middle" >13.1</td><td align="center" valign="middle" >6,046,000,000</td><td align="center" valign="middle" >19.4</td></tr><tr><td align="center" valign="middle" >10</td><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >9,872,000,000</td><td align="center" valign="middle" >12.6</td><td align="center" valign="middle" >7,018,000,000</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >6,744,000,000</td><td align="center" valign="middle" >14.71</td><td align="center" valign="middle" >14,838,000,000</td><td align="center" valign="middle" >12.5</td><td align="center" valign="middle" >10,861,000,000</td><td align="center" valign="middle" >11.7</td><td align="center" valign="middle" >7,648,000,000</td><td align="center" valign="middle" >16.4</td></tr><tr><td align="center" valign="middle" >20</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >112,200,000</td><td align="center" valign="middle" >40.5</td><td align="center" valign="middle" >597,000,000</td><td align="center" valign="middle" >41.2</td><td align="center" valign="middle" >754,000,000</td><td align="center" valign="middle" >37.68</td><td align="center" valign="middle" >947,000,000</td><td align="center" valign="middle" >51.6</td><td align="center" valign="middle" >2,034,000,000</td><td align="center" valign="middle" >27.9</td><td align="center" valign="middle" >659,000,000</td><td align="center" valign="middle" >41.5</td></tr><tr><td align="center" valign="middle" >20</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >1,756,000,000</td><td align="center" valign="middle" >36.6</td><td align="center" valign="middle" >973,000,000</td><td align="center" valign="middle" >39.3</td><td align="center" valign="middle" >1,166,000,000</td><td align="center" valign="middle" >34.96</td><td align="center" valign="middle" >1,715,000,000</td><td align="center" valign="middle" >45.4</td><td align="center" valign="middle" >2,799,000,000</td><td align="center" valign="middle" >25.2</td><td align="center" valign="middle" >1,074,000,000</td><td align="center" valign="middle" >39.2</td></tr><tr><td align="center" valign="middle" >20</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >2,722,000,000</td><td align="center" valign="middle" >31.6</td><td align="center" valign="middle" >1,576,000,000</td><td align="center" valign="middle" >35.4</td><td align="center" valign="middle" >1,811,000,000</td><td align="center" valign="middle" >31.29</td><td align="center" valign="middle" >3,015,000,000</td><td align="center" valign="middle" >37.7</td><td align="center" valign="middle" >3,820,000,000</td><td align="center" valign="middle" >22.6</td><td align="center" valign="middle" >1,775,000,000</td><td align="center" valign="middle" >35.3</td></tr><tr><td align="center" valign="middle" >20</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >3,874,000,000</td><td align="center" valign="middle" >26.9</td><td align="center" valign="middle" >2,337,000,000</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >2,569,000,000</td><td align="center" valign="middle" >27.86</td><td align="center" valign="middle" >4,593,000,000</td><td align="center" valign="middle" >30.4</td><td align="center" valign="middle" >4,906,000,000</td><td align="center" valign="middle" >20.6</td><td align="center" valign="middle" >2,670,000,000</td><td align="center" valign="middle" >30.8</td></tr><tr><td align="center" valign="middle" >20</td><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >5,316,000,000</td><td align="center" valign="middle" >22.3</td><td align="center" valign="middle" >3,384,000,000</td><td align="center" valign="middle" >26.2</td><td align="center" valign="middle" >3,579,000,000</td><td align="center" valign="middle" >23.70</td><td align="center" valign="middle" >6,611,000,000</td><td align="center" valign="middle" >24.4</td><td align="center" valign="middle" >6,301,000,000</td><td align="center" valign="middle" >18.4</td><td align="center" valign="middle" >3,894,000,000</td><td align="center" valign="middle" >26.3</td></tr><tr><td align="center" valign="middle" >30</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >338,000,000</td><td align="center" valign="middle" >40.9</td><td align="center" valign="middle" >186,000,000</td><td align="center" valign="middle" >39.9</td><td align="center" valign="middle" >246,000,000</td><td align="center" valign="middle" >36.46</td><td align="center" valign="middle" >173,000,000</td><td align="center" valign="middle" >60.3</td><td align="center" valign="middle" >696,000,000</td><td align="center" valign="middle" >36.7</td><td align="center" valign="middle" >187,000,000</td><td align="center" valign="middle" >38.3</td></tr><tr><td align="center" valign="middle" >30</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >550,000,000</td><td align="center" valign="middle" >42.4</td><td align="center" valign="middle" >294,000,000</td><td align="center" valign="middle" >42.1</td><td align="center" valign="middle" >377,000,000</td><td align="center" valign="middle" >38.10</td><td align="center" valign="middle" >349,000,000</td><td align="center" valign="middle" >58.4</td><td align="center" valign="middle" >1,047,000,000</td><td align="center" valign="middle" >34.2</td><td align="center" valign="middle" >293,000,000</td><td align="center" valign="middle" >41.4</td></tr><tr><td align="center" valign="middle" >30</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >940,000,000</td><td align="center" valign="middle" >41.8</td><td align="center" valign="middle" >511,000,000</td><td align="center" valign="middle" >42.7</td><td align="center" valign="middle" >617,000,000</td><td align="center" valign="middle" >38.38</td><td align="center" valign="middle" >750,000,000</td><td align="center" valign="middle" >54.2</td><td align="center" valign="middle" >1,605,000,000</td><td align="center" valign="middle" >31.7</td><td align="center" valign="middle" >516,000,000</td><td align="center" valign="middle" >42.7</td></tr><tr><td align="center" valign="middle" >30</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >1,515,000,000</td><td align="center" valign="middle" >38.8</td><td align="center" valign="middle" >838,000,000</td><td align="center" valign="middle" >41.5</td><td align="center" valign="middle" >950,000,000</td><td align="center" valign="middle" >37.23</td><td align="center" valign="middle" >1,410,000,000</td><td align="center" valign="middle" >48.5</td><td align="center" valign="middle" >2,281,000,000</td><td align="center" valign="middle" >28.8</td><td align="center" valign="middle" >847,000,000</td><td align="center" valign="middle" >41.9</td></tr><tr><td align="center" valign="middle" >30</td><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >2,422,000,000</td><td align="center" valign="middle" >34.3</td><td align="center" valign="middle" >1,388,000,000</td><td align="center" valign="middle" >37.7</td><td align="center" valign="middle" >1,511,000,000</td><td align="center" valign="middle" >34.40</td><td align="center" valign="middle" >2,563,000,000</td><td align="center" valign="middle" >41.4</td><td align="center" valign="middle" >3,234,000,000</td><td align="center" valign="middle" >26.0</td><td align="center" valign="middle" >1,461,000,000</td><td align="center" valign="middle" >38.8</td></tr><tr><td align="center" valign="middle" >40</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >142,000,000</td><td align="center" valign="middle" >29.5</td><td align="center" valign="middle" >87,000,000</td><td align="center" valign="middle" >23.5</td><td align="center" valign="middle" >150,000,000</td><td align="center" valign="middle" >25.43</td><td align="center" valign="middle" >46,000,000</td><td align="center" valign="middle" >45.9</td><td align="center" valign="middle" >218,000,000</td><td align="center" valign="middle" >41.8</td><td align="center" valign="middle" >80,000,000</td><td align="center" valign="middle" >23.8</td></tr><tr><td align="center" valign="middle" >40</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >194,000,000</td><td align="center" valign="middle" >34.8</td><td align="center" valign="middle" >112,000,000</td><td align="center" valign="middle" >29.6</td><td align="center" valign="middle" >218,000,000</td><td align="center" valign="middle" >29.87</td><td align="center" valign="middle" >80,000,000</td><td align="center" valign="middle" >53.1</td><td align="center" valign="middle" >341,000,000</td><td align="center" valign="middle" >41.1</td><td align="center" valign="middle" >106,000,000</td><td align="center" valign="middle" >30.7</td></tr><tr><td align="center" valign="middle" >40</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >302,000,000</td><td align="center" valign="middle" >40.2</td><td align="center" valign="middle" >167,000,000</td><td align="center" valign="middle" >36.4</td><td align="center" valign="middle" >326,000,000</td><td align="center" valign="middle" >34.47</td><td align="center" valign="middle" >161,000,000</td><td align="center" valign="middle" >57.5</td><td align="center" valign="middle" >571,000,000</td><td align="center" valign="middle" >39.0</td><td align="center" valign="middle" >160,000,000</td><td align="center" valign="middle" >37.7</td></tr><tr><td align="center" valign="middle" >40</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >484,000,000</td><td align="center" valign="middle" >43.5</td><td align="center" valign="middle" >258,000,000</td><td align="center" valign="middle" >41.5</td><td align="center" valign="middle" >529,000,000</td><td align="center" valign="middle" >38.45</td><td align="center" valign="middle" >325,000,000</td><td align="center" valign="middle" >58.5</td><td align="center" valign="middle" >890,000,000</td><td align="center" valign="middle" >37.0</td><td align="center" valign="middle" >254,000,000</td><td align="center" valign="middle" >42.3</td></tr><tr><td align="center" valign="middle" >40</td><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >835,000,000</td><td align="center" valign="middle" >44.1</td><td align="center" valign="middle" >438,000,000</td><td align="center" valign="middle" >44.2</td><td align="center" valign="middle" >835,000,000</td><td align="center" valign="middle" >40.24</td><td align="center" valign="middle" >690,000,000</td><td align="center" valign="middle" >56.5</td><td align="center" valign="middle" >1,396,000,000</td><td align="center" valign="middle" >34.5</td><td align="center" valign="middle" >438,000,000</td><td align="center" valign="middle" >45.5</td></tr><tr><td align="center" valign="middle" >55</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >103,000,000</td><td align="center" valign="middle" >14.7</td><td align="center" valign="middle" >67,000,000</td><td align="center" valign="middle" >10.5</td><td align="center" valign="middle" >87,000,000</td><td align="center" valign="middle" >12.53</td><td align="center" valign="middle" >34,000,000</td><td align="center" valign="middle" >15.8</td><td align="center" valign="middle" >51,000,000</td><td align="center" valign="middle" >38.0</td><td align="center" valign="middle" >60,000,000</td><td align="center" valign="middle" >9.6</td></tr><tr><td align="center" valign="middle" >55</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >114,000,000</td><td align="center" valign="middle" >17.6</td><td align="center" valign="middle" >70,000,000</td><td align="center" valign="middle" >11.9</td><td align="center" valign="middle" >93,000,000</td><td align="center" valign="middle" >15.17</td><td align="center" valign="middle" >39,000,000</td><td align="center" valign="middle" >20.5</td><td align="center" valign="middle" >76,000,000</td><td align="center" valign="middle" >40.0</td><td align="center" valign="middle" >67,000,000</td><td align="center" valign="middle" >13</td></tr><tr><td align="center" valign="middle" >55</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >133,000,000</td><td align="center" valign="middle" >22.4</td><td align="center" valign="middle" >78,000,000</td><td align="center" valign="middle" >16.6</td><td align="center" valign="middle" >112,000,000</td><td align="center" valign="middle" >19.52</td><td align="center" valign="middle" >49,000,000</td><td align="center" valign="middle" >28.6</td><td align="center" valign="middle" >121,000,000</td><td align="center" valign="middle" >42.1</td><td align="center" valign="middle" >75,000,000</td><td align="center" valign="middle" >17.9</td></tr><tr><td align="center" valign="middle" >55</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >162,000,000</td><td align="center" valign="middle" >29.1</td><td align="center" valign="middle" >96,000,000</td><td align="center" valign="middle" >22.5</td><td align="center" valign="middle" >134,000,000</td><td align="center" valign="middle" >24.41</td><td align="center" valign="middle" >70,000,000</td><td align="center" valign="middle" >39.4</td><td align="center" valign="middle" >193000000</td><td align="center" valign="middle" >43.3</td><td align="center" valign="middle" >93,000,000</td><td align="center" valign="middle" >24.8</td></tr><tr><td align="center" valign="middle" >55</td><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >223,000,000</td><td align="center" valign="middle" >37.7</td><td align="center" valign="middle" >124,000,000</td><td align="center" valign="middle" >30.9</td><td align="center" valign="middle" >175,000,000</td><td align="center" valign="middle" >31.81</td><td align="center" valign="middle" >12,000,000</td><td align="center" valign="middle" >51.4</td><td align="center" valign="middle" >322000000</td><td align="center" valign="middle" >43.7</td><td align="center" valign="middle" >126,000,000</td><td align="center" valign="middle" >34.1</td></tr></tbody></table></table-wrap><p>In the first columns we find the temperatures number, the frequencies number. Data are then rows in temperatures blocks. For each line we find successively, temperature, frequency, dynamic modulus and phase angle. The units are ˚C, Hz, Pa and degree.</p><p>First time results are visualized in Cole and Cole plane and in Black Space. After the verification of the uniqueness of Cole and Cole and Black Diagrams, the master curve can be drawn by application of the time- temperature superposition principle. The reference temperature of master curve is 10˚C. <xref ref-type="fig" rid="fig4">Figure 4</xref> shows the uniqueness of Cole and Cole diagram for all mixtures studied.</p><p><xref ref-type="fig" rid="fig5">Figure 5</xref> shows a unicity of Black diagram for all mixtures studied.</p><p>The uniqueness of all Cole and Cole and Black diagrams showed above proof that de asphalt concrete studied are thermorheologically simples. And a master curve can be drawn by application of time-temperature superpo- sition principle.</p><fig id="fig4"  position="float"><label><xref ref-type="fig" rid="fig4">Figure 4</xref></label><caption><title> E<sup>*</sup> Cole and Cole diagrams for BDC, GDC, BDD, GDD, BDF and GDF</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-1880380x17.png"/></fig><fig id="fig5"  position="float"><label><xref ref-type="fig" rid="fig5">Figure 5</xref></label><caption><title> E<sup>*</sup> Black diagrams for BDC, GDC, BDD, GDD, BDF and GDF</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-1880380x18.png"/></fig><p><xref ref-type="fig" rid="fig6">Figure 6</xref> shows the master curves at the reference temperatures (0˚C, 10˚C, 20˚C, 30˚C, 40˚C and 55˚C) for</p><p>BDC mixture. Note that the master curve of a reference temperature to the other the master curve obtained at a given reference temperature, is only a translation of the master curve of other reference temperatures. Translation of master curve between temperatures is carried by the “William Landel Ferry” (W.L.F). or Arrhenius law [<xref ref-type="bibr" rid="scirp.59256-ref1">1</xref>] .</p></sec><sec id="s2_4"><title>2.4. Calibration of Viscoelastic Advanced Model</title><p>After the visualization of complex modulus test results, the proposed viscoelastic models by the software (without modified Huet model) are calibrated. The calibration is a fitting process of dynamic modulus and phase angle. Model parameters are performed by fitting the master curve of complex modulus test results (Cole and Cole and Black Diagrams). First time all parameters are calculated at a reference temperature (10˚C). Models are transposed to the others temperature by using the “Willian Landel and Ferry” law (WLF) on the time parameter<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x19.png" xlink:type="simple"/></inline-formula>. The minimization of prediction error is expressed by the sum of squared deviation (SSD) [<xref ref-type="bibr" rid="scirp.59256-ref11">11</xref>] .</p><p>Two algorithms are proposed in the Visco-analyse software, the “gradient” and the “simplex”.</p><p>The method “gradient” permits from close game parameters of a solution to quickly reach fine convergence. This algorithm called “trust-region reflective Newton” also gives access to the confidence interval on specified parameters. The second is the “simplex” method that searches a set of very distant from the initial data set parameters, while avoiding getting negative parameters [<xref ref-type="bibr" rid="scirp.59256-ref11">11</xref>] .</p><p>In this study the two algorithms are used successively. A first “gradient” optimization is performed. Then the Black curves and Cole and Cole are checked. Then, a second optimization is performed on the “simplex” by ensuring that the curves obtained are not worse than the first and only negative parameters have not been determined. This method significantly reduces the SSD. The final step of the calibration is the calibration of the coefficients A<sub>0</sub>, A<sub>1</sub> and A<sub>2</sub>. As WLF, these coefficients are used to translate the model to other temperatures by Equation (4).</p><disp-formula id="scirp.59256-formula926"><label>(4)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/3-1880380x20.png"  xlink:type="simple"/></disp-formula><p>O&#249;:</p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x21.png" xlink:type="simple"/></inline-formula>= decreasing function of temperature, which reflects the principle of time-temperature equivalence;</p><p>A<sub>0</sub>, A<sub>1</sub> and A<sub>2</sub> = the regression coefficients;</p><p>X = temperature sometime noted<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x22.png" xlink:type="simple"/></inline-formula>.</p></sec></sec><sec id="s3"><title>3. Statistical Analysis and Interpretations of Calibration Results</title><p>The method of least squares is a statistical method analysis, independently developed by Gauss and Legendre.</p><fig id="fig6"  position="float"><label><xref ref-type="fig" rid="fig6">Figure 6</xref></label><caption><title> Master curves at reference temperature (0˚C, 10˚C, 20˚C, 30˚C, 40˚C and 55˚C) for BDC</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-1880380x23.png"/></fig><p>Method is used to compare the experimental data, usually tainted by measurement errors with a mathematical model meant to describe these data [<xref ref-type="bibr" rid="scirp.59256-ref14">14</xref>] . In our case the models studied are complex functions predicting the complex modulus of asphalt concretes (Huet model, Huet-Sayegh model and 2S2P1D model).</p><p>The method consists of a prescription (initially empirical) which is the function <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x24.png" xlink:type="simple"/></inline-formula> which describes “best” data is the one that minimizes the quadratic sum of the deviations of measurements with the predictions of<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x24.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x25.png" xlink:type="simple"/></inline-formula>. For example, if we have N measurements, (y<sub>i</sub>) i = 1, N the “optimal” parameters θ within the meaning of the least squares method are those which minimize the quantity [<xref ref-type="bibr" rid="scirp.59256-ref14">14</xref>] :</p><p>where r<sub>i</sub>(θ) are the residues to the model, i.e. the differences between the measurement points (y<sub>i</sub>) and the model (x; θ).</p><p>S(θ) or (SSD) presented in Equation (5) can be considered as a measure of the distance between the experi- mental data and the theoretical model that predicts such data. Prescription least squares command that this dis- tance is minimal [<xref ref-type="bibr" rid="scirp.59256-ref14">14</xref>] .</p><disp-formula id="scirp.59256-formula927"><label>(5)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/3-1880380x26.png"  xlink:type="simple"/></disp-formula><p>After the good uniqueness of master curves shows by <xref ref-type="fig" rid="fig4">Figure 4</xref> and <xref ref-type="fig" rid="fig5">Figure 5</xref> before, the viscoelastic models were calibrated. The dense-fine mixture (BDF and GDF) shows some irregularity of measures. As complex modulus and creep compliance, the viscoelastic models can characterize the behavior of viscoelastic materials. Among these models the advanced viscoelastic models are the most used in rational French pavement design. The calibration results in <xref ref-type="table" rid="table3">Table 3</xref> show that the Huet the Huet-Sayegh and the 2S2D1P models are very performance in the prediction of complex modulus and the modeling of master curves. In fact the average prediction error for each model is relatively constant around SSD = 0.185. The best precision is obtained by the 2S2P1D model with a value of 0.169. <xref ref-type="fig" rid="fig7">Figure 7</xref> shows results of fitting obtained, but some irregularities is observed with the 2S2P1D</p><fig id="fig7"  position="float"><label><xref ref-type="fig" rid="fig7">Figure 7</xref></label><caption><title> (a) Modeling of complex modulus E<sup>*</sup> Cole and Cole diagram by Huet Model (exemple GDC mix); (b) Modeling of complex modulus E<sup>*</sup> Black diagram by Huet Model (exemple BDC mix); (c) Modeling of complex modulus E<sup>*</sup> Cole and Cole diagram by 2S2P1D Model (BDC mix); (d) Modeling of complex modulus E<sup>*</sup> Black diagram by 2S2P1D Model (BDC mix)</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-1880380x27.png"/></fig><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Calibration parameters of advanced rheological models</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Asphalt concrete</th><th align="center" valign="middle"  colspan="12"  >Huet model parameters</th><th align="center" valign="middle"  rowspan="2"  >SSD</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x28.png" xlink:type="simple"/></inline-formula> (MPa)</td><td align="center" valign="middle" >k</td><td align="center" valign="middle"  colspan="2"  >h</td><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x29.png" xlink:type="simple"/></inline-formula></td><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x30.png" xlink:type="simple"/></inline-formula>(s)</td><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x31.png" xlink:type="simple"/></inline-formula></td><td align="center" valign="middle" >T<sub>ref</sub> (˚C)</td><td align="center" valign="middle" >A<sub>0</sub></td><td align="center" valign="middle" >A<sub>1</sub></td><td align="center" valign="middle" >A<sub>2</sub></td></tr><tr><td align="center" valign="middle" >BDC</td><td align="center" valign="middle"  colspan="2"  >251540</td><td align="center" valign="middle" >0.16929</td><td align="center" valign="middle"  colspan="2"  >0.05451</td><td align="center" valign="middle" >22.011</td><td align="center" valign="middle" >0.29782</td><td align="center" valign="middle" >1.07667</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >0.22928</td><td align="center" valign="middle" >−0.367885</td><td align="center" valign="middle" >0.0024178</td><td align="center" valign="middle" >0.187</td></tr><tr><td align="center" valign="middle" >GDC</td><td align="center" valign="middle"  colspan="2"  >396393</td><td align="center" valign="middle" >0.17328</td><td align="center" valign="middle"  colspan="2"  >0.05264</td><td align="center" valign="middle" >43.3680</td><td align="center" valign="middle" >0.15939</td><td align="center" valign="middle" >1.10577</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >1.69998</td><td align="center" valign="middle" >0.0389322</td><td align="center" valign="middle" >0.0027256</td><td align="center" valign="middle" >0.185</td></tr><tr><td align="center" valign="middle" >BDD</td><td align="center" valign="middle"  colspan="2"  >396393</td><td align="center" valign="middle" >0.17328</td><td align="center" valign="middle"  colspan="2"  >0.05264</td><td align="center" valign="middle" >43.368</td><td align="center" valign="middle" >0.15929</td><td align="center" valign="middle" >1.10577</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >1.63305</td><td align="center" valign="middle" >−0.381401</td><td align="center" valign="middle" >0.0025718</td><td align="center" valign="middle" >0.187</td></tr><tr><td align="center" valign="middle" >GDD</td><td align="center" valign="middle"  colspan="2"  >396393</td><td align="center" valign="middle" >0.17328</td><td align="center" valign="middle"  colspan="2"  >0.05264</td><td align="center" valign="middle" >43.368</td><td align="center" valign="middle" >0.15929</td><td align="center" valign="middle" >1.10577</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >1.6998</td><td align="center" valign="middle" >−0.389322</td><td align="center" valign="middle" >0.0027256</td><td align="center" valign="middle" >0.187</td></tr><tr><td align="center" valign="middle" >BDF</td><td align="center" valign="middle"  colspan="2"  >396393</td><td align="center" valign="middle" >0.17328</td><td align="center" valign="middle"  colspan="2"  >0.05264</td><td align="center" valign="middle" >43.368</td><td align="center" valign="middle" >0.15929</td><td align="center" valign="middle" >1.10577</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >1.7068</td><td align="center" valign="middle" >−0.390838</td><td align="center" valign="middle" >0.0027649</td><td align="center" valign="middle" >0.187</td></tr><tr><td align="center" valign="middle" >GDF</td><td align="center" valign="middle"  colspan="2"  >396393</td><td align="center" valign="middle" >0.17328</td><td align="center" valign="middle"  colspan="2"  >0.05264</td><td align="center" valign="middle" >43.368</td><td align="center" valign="middle" >0.15929</td><td align="center" valign="middle" >1.10577</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >1.70902</td><td align="center" valign="middle" >−0.387427</td><td align="center" valign="middle" >0.0026695</td><td align="center" valign="middle" >0.188</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Asphalt concrete</td><td align="center" valign="middle"  colspan="12"  >Huet Sayegh model parameters</td><td align="center" valign="middle"  rowspan="2"  >SSD</td></tr><tr><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x32.png" xlink:type="simple"/></inline-formula> (MPa)</td><td align="center" valign="middle"  colspan="2"  ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x33.png" xlink:type="simple"/></inline-formula> (MPa)</td><td align="center" valign="middle" >k</td><td align="center" valign="middle" >h</td><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x34.png" xlink:type="simple"/></inline-formula></td><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x35.png" xlink:type="simple"/></inline-formula>(s)</td><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x36.png" xlink:type="simple"/></inline-formula></td><td align="center" valign="middle" >T<sub>ref</sub> (˚C)</td><td align="center" valign="middle" >A<sub>0</sub></td><td align="center" valign="middle" >A<sub>1</sub></td><td align="center" valign="middle" >A<sub>2</sub></td></tr><tr><td align="center" valign="middle" >BDC</td><td align="center" valign="middle" >19.0519</td><td align="center" valign="middle"  colspan="2"  >255788</td><td align="center" valign="middle" >0.18153</td><td align="center" valign="middle" >0.05636</td><td align="center" valign="middle" >21.657</td><td align="center" valign="middle" >0.27958</td><td align="center" valign="middle" >1.04456</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >0.95</td><td align="center" valign="middle" >−0.367885</td><td align="center" valign="middle" >0.0024178</td><td align="center" valign="middle" >0.187</td></tr><tr><td align="center" valign="middle" >GDC</td><td align="center" valign="middle" >12.3652</td><td align="center" valign="middle"  colspan="2"  >455823</td><td align="center" valign="middle" >0.18328</td><td align="center" valign="middle" >0.05501</td><td align="center" valign="middle" >48.692</td><td align="center" valign="middle" >0.15213</td><td align="center" valign="middle" >1.12416</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >1.2232</td><td align="center" valign="middle" >−0.389322</td><td align="center" valign="middle" >0.0027256</td><td align="center" valign="middle" >0.185</td></tr><tr><td align="center" valign="middle" >BDD</td><td align="center" valign="middle" >12.3654</td><td align="center" valign="middle"  colspan="2"  >455796</td><td align="center" valign="middle" >0.18327</td><td align="center" valign="middle" >0.05501</td><td align="center" valign="middle" >48.690</td><td align="center" valign="middle" >0.1520131</td><td align="center" valign="middle" >1.12416</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >1.26462</td><td align="center" valign="middle" >−0.381401</td><td align="center" valign="middle" >0.0025718</td><td align="center" valign="middle" >0.185</td></tr><tr><td align="center" valign="middle" >GDD</td><td align="center" valign="middle" >12.3652</td><td align="center" valign="middle"  colspan="2"  >455823</td><td align="center" valign="middle" >0.18328</td><td align="center" valign="middle" >0.05501</td><td align="center" valign="middle" >48.692</td><td align="center" valign="middle" >0.15213</td><td align="center" valign="middle" >1.12416</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >1.2232</td><td align="center" valign="middle" >−0.389322</td><td align="center" valign="middle" >0.0027256</td><td align="center" valign="middle" >0.185</td></tr><tr><td align="center" valign="middle" >BDF</td><td align="center" valign="middle" >12.3652</td><td align="center" valign="middle"  colspan="2"  >455823</td><td align="center" valign="middle" >0.18328</td><td align="center" valign="middle" >0.05501</td><td align="center" valign="middle" >48.692</td><td align="center" valign="middle" >0.15213</td><td align="center" valign="middle" >1.12416</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >1.2297</td><td align="center" valign="middle" >−0.390838</td><td align="center" valign="middle" >0.0027649</td><td align="center" valign="middle" >0.185</td></tr><tr><td align="center" valign="middle" >GDF</td><td align="center" valign="middle" >12.3654</td><td align="center" valign="middle"  colspan="2"  >455796</td><td align="center" valign="middle" >0.18327</td><td align="center" valign="middle" >0.05501</td><td align="center" valign="middle" >48.690</td><td align="center" valign="middle" >0.1520131</td><td align="center" valign="middle" >1.12416</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >1.3406</td><td align="center" valign="middle" >−0.387427</td><td align="center" valign="middle" >0.0026695</td><td align="center" valign="middle" >0.185</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Asphalt concrete</td><td align="center" valign="middle"  colspan="12"  >2S2P1D model parameters</td><td align="center" valign="middle"  rowspan="2"  >SSD</td></tr><tr><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x37.png" xlink:type="simple"/></inline-formula> (MPa)</td><td align="center" valign="middle"  colspan="2"  ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x38.png" xlink:type="simple"/></inline-formula> (MPa)</td><td align="center" valign="middle" >k</td><td align="center" valign="middle" >h</td><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x39.png" xlink:type="simple"/></inline-formula></td><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x40.png" xlink:type="simple"/></inline-formula>(s)</td><td align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/3-1880380x41.png" xlink:type="simple"/></inline-formula></td><td align="center" valign="middle" >T<sub>ref</sub> (˚C)</td><td align="center" valign="middle" >A<sub>0</sub></td><td align="center" valign="middle" >A<sub>1</sub></td><td align="center" valign="middle" >A<sub>2</sub></td></tr><tr><td align="center" valign="middle" >BDC</td><td align="center" valign="middle" >21.3872</td><td align="center" valign="middle"  colspan="2"  >232967</td><td align="center" valign="middle" >21.349</td><td align="center" valign="middle" >0.16688</td><td align="center" valign="middle" >21.349</td><td align="center" valign="middle" >0.56059</td><td align="center" valign="middle" >460.264</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >0.959055</td><td align="center" valign="middle" >−0.367885</td><td align="center" valign="middle" >0.0024178</td><td align="center" valign="middle" >0.169</td></tr><tr><td align="center" valign="middle" >GDC</td><td align="center" valign="middle" >18.2375</td><td align="center" valign="middle"  colspan="2"  >621995</td><td align="center" valign="middle" >0.24543</td><td align="center" valign="middle" >0.12344</td><td align="center" valign="middle" >65.282</td><td align="center" valign="middle" >0.19585</td><td align="center" valign="middle" >7.75589</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >−0.74466</td><td align="center" valign="middle" >−0.389322</td><td align="center" valign="middle" >0.0027256</td><td align="center" valign="middle" >0.185</td></tr><tr><td align="center" valign="middle" >BDD</td><td align="center" valign="middle" >12.3654</td><td align="center" valign="middle"  colspan="2"  >455796</td><td align="center" valign="middle" >0.18327</td><td align="center" valign="middle" >0.05501</td><td align="center" valign="middle" >48.690</td><td align="center" valign="middle" >0.15213</td><td align="center" valign="middle" >1.12416</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >−2.0076</td><td align="center" valign="middle" >−0.381402</td><td align="center" valign="middle" >0.0025718</td><td align="center" valign="middle" >0.186</td></tr><tr><td align="center" valign="middle" >GDD</td><td align="center" valign="middle" >18.1984</td><td align="center" valign="middle"  colspan="2"  >593230</td><td align="center" valign="middle" >0.24481</td><td align="center" valign="middle" >0.12372</td><td align="center" valign="middle" >62.427</td><td align="center" valign="middle" >0.19749</td><td align="center" valign="middle" >7.8748</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >1.26702</td><td align="center" valign="middle" >−0.389322</td><td align="center" valign="middle" >0.0027256</td><td align="center" valign="middle" >0.185</td></tr><tr><td align="center" valign="middle" >BDF</td><td align="center" valign="middle" >18.1984</td><td align="center" valign="middle"  colspan="2"  >593230</td><td align="center" valign="middle" >0.24481</td><td align="center" valign="middle" >0.12372</td><td align="center" valign="middle" >62.427</td><td align="center" valign="middle" >0.19749</td><td align="center" valign="middle" >7.8748</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >1.27305</td><td align="center" valign="middle" >−0.390838</td><td align="center" valign="middle" >0.0027649</td><td align="center" valign="middle" >0.185</td></tr><tr><td align="center" valign="middle" >GDF</td><td align="center" valign="middle" >12.3654</td><td align="center" valign="middle"  colspan="2"  >455796</td><td align="center" valign="middle" >0.18327</td><td align="center" valign="middle" >0.05501</td><td align="center" valign="middle" >48.690</td><td align="center" valign="middle" >0.15213</td><td align="center" valign="middle" >1.12416</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >−1.92479</td><td align="center" valign="middle" >−0.387427</td><td align="center" valign="middle" >0.0026695</td><td align="center" valign="middle" >0.186</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>model linked to the imperfection of the software used (simplex gradient).</p><p>Fran&#231;ois Olard in 2004 [<xref ref-type="bibr" rid="scirp.59256-ref10">10</xref>] . stipulate that the value of static modulus E<sub>0</sub> of Huet Sayegh model was probably linked to aggregates skeleton. The Static modulus presented in <xref ref-type="table" rid="table3">Table 3</xref> shows a superior value for BDC (in Huet and Huet-Sayegh models) and relatively constant for others mixtures. Conclusion about this observation is that the static modulus E<sub>0</sub> can be impacted by the aggregate skeleton, but this impact is visible for high difference between aggregate mixtures.</p></sec><sec id="s4"><title>4. Conclusion</title><p>In the way of model choice for asphalt concrete mixed with basalt of Diack and quartzite of Bakel, the Huet and the Huet-Sayegh and 2S2P1D models are all representatives for modeling the viscoelastic behavior of asphalt concrete mixed with basalt of Diack and quartzite of Bakel. In fact they all have a low sum of squared deviation (SSD) minimized around 0.185. The best value of 0.169, obtained by the 2S2P1D model with the BDC mixture can suppose that it is the best model representing the viscoelastic behavior of asphalt concrete mixed with aggregate of Senegal. But some irregularities are observed in the fitting of Cole and Cole diagrams by the 2S2P1D model. These irregularities are definitely linked to the software.</p></sec><sec id="s5"><title>Acknowledgements</title><p>The authors would like to acknowledge Professor Meissa FALL (RIP) for his guidance and valuable input in this research project; and the “Mapath&#233; NDIOUCK Enterprise” for supporting the high price shipping of aggregates from Senegal to Canada.</p></sec><sec id="s6"><title>Cite this paper</title><p>Mouhamed Lamine Ch&#233;rifAidara,MakhalyBa,AlanCarter, (2015) Choice of an Advanced Rheological Model for Modeling the Viscoelastic Behavior of Hot Mixtures Asphalt (HMA) from S&amp;eacute;n&amp;eacute;gal (West Africa). 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