<?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.2018.82019</article-id><article-id pub-id-type="publisher-id">OJCE-85672</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>
 
 
  Rutting Resistance of HMA Rehabilitated with Micro-Surfacing
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Arbia</surname><given-names>Garfa</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="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Anne</surname><given-names>Dony</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Ecole Spécial des travaux publics, ESTP, Paris, France</addr-line></aff><aff id="aff1"><addr-line>école de Technologie Supérieure, ETS, Montréal, Canada</addr-line></aff><pub-date pub-type="epub"><day>09</day><month>05</month><year>2018</year></pub-date><volume>08</volume><issue>02</issue><fpage>245</fpage><lpage>255</lpage><history><date date-type="received"><day>3,</day>	<month>January</month>	<year>2018</year></date><date date-type="rev-recd"><day>26,</day>	<month>June</month>	<year>2018</year>	</date><date date-type="accepted"><day>29,</day>	<month>June</month>	<year>2018</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 work presented here is a study on the measurement and prediction of the rutting resistance of previously rutted asphalt mixes rehabilitated with a layer of micro-surfacing manufactured with virgin and recycled aggregates at different stages of aging. The experimental procedure consisted of rutting tests on hot mix asphalt slabs already degraded and repaired with virgin and recycled micro-surfacing. Then, the evolution of the behavior of micro-surfacing cast on the hot mix asphalt slabs is observed according to loading cycles of the pavement rutting tester MLPC. Before rutting tests, slabs are subjected to 24 hours at 50
  &amp;degC and aged for 2 days and 5 days at 85
  &amp;degC in the oven. The results showed rutting percentages of 6.3% for hot mix asphalt slabs aged for 2 days and 7.2% for 5 days. These hot mix slabs repaired with virgin micro-surfacing have rutting percentage of about 9.2 % for 2 days of aging and 6.5% for 5 days of aging. While, the HMA slabs repaired with recycled micro-surfacing have rutting percentage of about 8.1% for 2 days of aging and 5.9% for 5 days of aging. These results allowed the development of a prediction model based essentially on three predictor variables including cycle number, rutting state and percentage of water in the micro-surfacing material. The developed model shows a strong correlation between the predicted rutting values and the rutting values measured with the MLPC rut tester. Thermal aging in oven has a positive impact on the resistance to permanent deformation of new asphalt mixes and those rehabilitated with micro-surfacing. The parameters of rutting state and contribution water are significant in the rutting prediction model, while the cycle number remains a non-significant parameter in the model but determinant.
 
</p></abstract><kwd-group><kwd>HMA</kwd><kwd> RAP</kwd><kwd> Micro-Surfacing</kwd><kwd> Rutting</kwd><kwd> Aging</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Pavement maintenance can be considered as a method using a long-term preservation strategy that improves pavement performance with an integrated and cost-effective set of practices that extend pavement life, improve safety and meet expectations of motorists [<xref ref-type="bibr" rid="scirp.85672-ref1">1</xref>] . Due to the various deterioration, it is important that the road infrastructure management agencies use the best method of maintenance at the best time [<xref ref-type="bibr" rid="scirp.85672-ref2">2</xref>] . Among the existing techniques of maintenance, a popular one is micro-surfacing. It has been argued that this technique presented a solution to correct slight defects related to small radius rutting [<xref ref-type="bibr" rid="scirp.85672-ref3">3</xref>] . However, it must be applied in several layers. Robati et al. [<xref ref-type="bibr" rid="scirp.85672-ref3">3</xref>] have shown that micro-surfacing with a coarse particle size are less susceptible to rutting than micro-surfacing manufactured with a fine particle size. Studies realized by Robati et al. [<xref ref-type="bibr" rid="scirp.85672-ref4">4</xref>] have also demonstrated that micro-surfacing mixtures formulated with 100% RAP meet the specifications of the ISSA TB 147 (Multilayer Loaded Wheel Test [<xref ref-type="bibr" rid="scirp.85672-ref5">5</xref>] ), while micro-surfacing manufactured with RAS shows a decrease resistance to rutting if the percentage of RAS exceeds 10%. Recent research has been carried out in order to compare the performances of two types of cold surface coatings, namely micro-surfacing and slurry seal and their ability to correct defects caused by the rutting phenomenon [<xref ref-type="bibr" rid="scirp.85672-ref6">6</xref>] . For both materials, degradation caused by abrasion, or the loss of aggregates was observed for both types of treatments after 3 years of service. It is important to state that even if the micro-surfacing can be used to rehabilitate defective pavement with small radius ruts, they cannot correct large radius, exceeding a few decimeters, deformation [<xref ref-type="bibr" rid="scirp.85672-ref7">7</xref>] .</p><p>In this study, we evaluated the effectiveness of the micro-surfacing type III material to repair the rutting deformation on the pavement. To do this, we evaluated the rutting resistance of a 0 - 10 mm hot mix asphalt (HMA), named ESG-10, before rehabilitating it with micro-surfacing. The objective is to evaluate the rutting resistance of HMA with and without micro-surfacing and different curing and aging conditions, and to model the rutting resistance of a HMA rehabilitated with micro-surfacing.</p><p>In this paper, we discuss the results of a rut resistance measurement study carried out with the MLPC rut tester on the HMA slabs considered separately and the HMA slabs coated with virgin micro-surfacing and others with micro-surfacing formulated with RAP (50% of the aggregates by weight). To simulate the site conditions, it should be noted that hot-mix asphalt plates alone, before being coated with micro-surfacing, undergo a rutting test (30,000 cycles).</p><p>This work was carried out with two different materials, a reference micro-surfacing made with virgin aggregates, and a recycled micro-surfacing, under well-defined curing and aging conditions.</p></sec><sec id="s2"><title>2. Material and Methods</title><p>The experimental approach of this work was carried out in two complementary parts. The first part consists of performing rutting tests on hot mix asphalt slabs already rutted and repaired with a layer of micro-surfacing formulated with virgin aggregates. The second part consists of using micro-surfacing formulated with RAP to repair the rutted slabs.</p><p>A preliminary rutting test (same experimental steps as HMA+ micro-surfacing) is carried out on the HMA slabs considered as reference. Then, the evolution of the micro-surfacing cast on the hot mix asphalt slabs is observed according to the loading cycles.</p><sec id="s2_1"><title>2.1. Mix Design</title><p>The materials used in this study, as well as their origin and composition, are presented in <xref ref-type="table" rid="table1">Table 1</xref>.</p><p>During mix design, mixing begins with a pre-wetting of dried sand in oven to obtain an initial water content of 3.5% (in order to better control the parameters during formulation) to have a homogeneous mixture. A rest period of 30 minutes is observed to ensure homogeneous water absorption. Parallel to this step, the mixture of emulsion, water and adhesion agent is carried out in a container. After the rest period, the cement is added to the sand before mixing manually for 40 seconds with the liquid part (emulsion, water and adhesion agent). For the manufacture of recycled micro-surfacing, a mix design with 50% RAP has been determined, and glass fibers were added to improve the cohesion between recycled binder and aggregates.</p><p>In order to validate the formulation of the micro-surfacing, several trials have been carried out, and the mixtures were evaluated with the cohesion test, the abrasion test, the mini rutting test and the Hilt Cohesion Test [<xref ref-type="bibr" rid="scirp.85672-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.85672-ref9">9</xref>] .</p><p>For the Hot mix asphalt, a classical 10 mm surface course mix is used in this study, a standard bitumen of PG 70 - 28 was used. The maximum density of the mix is 2.903 with a binder content of 5.1.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Materials used for micro-surfacing mixtures</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Materials</th><th align="center" valign="middle" >Description</th></tr></thead><tr><td align="center" valign="middle" >Virgin aggregates</td><td align="center" valign="middle" >Quartzite sandstone with a continuous gradation (0 - 5 mm)</td></tr><tr><td align="center" valign="middle" >Bitumen Emulsion</td><td align="center" valign="middle" >A quick setting cationic bitumen emulsion (60% binder content and 40% water content) named CQS-1HP, complying with ASTM standards;</td></tr><tr><td align="center" valign="middle" >ADP1</td><td align="center" valign="middle" >An adhesion agent specific for micro-surfacing, containing N-tallow propylene polyamines mixed with hydrochloric acid and dispersed in 10% of water by mass. Its purpose is to control the breaking of the emulsion;</td></tr><tr><td align="center" valign="middle" >Cement</td><td align="center" valign="middle" >CM II 32.5 R cement, to control the breaking of the emulsion;</td></tr><tr><td align="center" valign="middle" >Reclaimed Asphalt Pavement (RAP)</td><td align="center" valign="middle" >The RAP has the same gradation as the virgin aggregates (0/5 mm) with a bitumen content of 4.6%;</td></tr><tr><td align="center" valign="middle" >Glass fiber</td><td align="center" valign="middle" >Glass fibers from the United States. These fibers were used in recycled Micro-surfacing manufactured with more than 20% of RAP in order to improve the cohesion between the binder and aggregate. The content of fiber is of 0.1 % and the length of the staple fibers is about 1 mm.</td></tr></tbody></table></table-wrap></sec><sec id="s2_2"><title>2.2. Manufacturing Process of Rutted HMA Rehabilitated by Micro-Surfacing</title><p>The rutting phenomenon is influenced by several parameters: temperature, the duration of exposure to stresses, and the binder film thickness [<xref ref-type="bibr" rid="scirp.85672-ref10">10</xref>] .</p><p>In this study, 50 mm thick HMA slabs were compacted with the LPC slab compactor to obtain an air voids content of 5%. The HMA were subjected to rutting cycles before being rehabilitated with micro-surfacing in order to simulate site’s conditions. Once the micro-surfacing was installed, the rehabilitated HMA slabs were fast cured in an oven for 24 hours at 50˚C, in order to evacuate water and volatile fractions. Afterwards, the slabs are left at room temperature to stabilize, and they are weighted to measure the loss of mass (loss of water). Generally, a constant mass is reached after the first day.</p><p>After this step, the rehabilitated slabs were placed in a draft oven at 85˚C, for a period ranging from 1 to 5 days in order to simulate the evolution of the thermal aging. The thermal aging protocol was inspired by work carried out in the IRC laboratory [<xref ref-type="bibr" rid="scirp.85672-ref9">9</xref>] . The curing and aging temperature were determined on the basis of previous publications [<xref ref-type="bibr" rid="scirp.85672-ref11">11</xref>] .</p></sec><sec id="s2_3"><title>2.3. Rutting Tests</title><p>The rutting test with the LPC rut tester (<xref ref-type="fig" rid="fig1">Figure 1</xref>) is a simulation test which consists in applying a 5 kN load with a wheel inflated to 0.6 MPa on the sample at 60˚C, for 30,000 cycles at a frequency of 1 Hz [<xref ref-type="bibr" rid="scirp.85672-ref10">10</xref>] .</p><p>Repeated wheel passage leads to the formation of a rut whose depth is the average of the rut depth measured at 15 points on the surface. During the tests, three types of structures were tested: the first one was HMA plate alone. The second one is the HMA slabs rehabilitated by a layer of micro-surfacing formulated with virgin aggregates, and the third one is the HMA rehabilitated with a layer of micro-surfacing formulated with RAP.</p><p>The complex (HMA and Micro-surfacing) plate has a total thickness of 50 mm with a micro-surfacing thickness of about 17 mm &#177; 1 mm. The small variations</p><p>in the thicknesses of the micro-surfacing are due to the differences in the rut depths of the HMA slabs before rehabilitation. In order to have 50 mm thick slabs, the HMA rutted slab were saw in their thicknesses to around 33 mm before being covered with micro-surfacing.</p><p>The evolution of the rut depths are monitored and measured as a percentage of the initial thickness of the material in function of the number of loading cycles. Initially, rutting tests were carried out on three series of HMA slabs (<xref ref-type="table" rid="table2">Table 2</xref>). All this slabs of HMA were used as reference. Rutting tests were carried out on these slabs at 60˚C.</p><p>The second part of tests consisted of casting micro-surfacing on the hot-mix asphalt slabs and then carrying out the same process of curing/aging on the complex (HMA + virgin micro-surfacing) (<xref ref-type="fig" rid="fig2">Figure 2</xref>). Then, the rutting tests were carried out on these at 60˚C (<xref ref-type="fig" rid="fig2">Figure 2</xref>). The same process is applied for the third type of structure HMA + recycled micro-surfacing.</p></sec></sec><sec id="s3"><title>3. Results and Analysis</title><p>The results are separated into two parts. First, the rutting results on the reference slabs are presented, before analyzing the results obtained on the rehabilitated</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Conditions of rutting test for HMA samples</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Samples</th><th align="center" valign="middle" >Conditions of tests</th></tr></thead><tr><td align="center" valign="middle" >HMA 1</td><td align="center" valign="middle" >Cured at 50˚C for 24 h</td></tr><tr><td align="center" valign="middle" >HMA 2</td><td align="center" valign="middle" >Cured at 50˚C for 24 h and aged at 85˚C for 2 days</td></tr><tr><td align="center" valign="middle" >HMA 3</td><td align="center" valign="middle" >Cured at 50˚C for 24 h and aged at 85˚C for 5 days</td></tr></tbody></table></table-wrap><p>slabs. Afterwards, the modeling of the behavior is shown.</p><sec id="s3_1"><title>3.1. Rutting Test on HMA</title><p>As expected, the analysis of the impact of aging on the rutting resistance of the asphalt mixes shown in <xref ref-type="fig" rid="fig3">Figure 3</xref> shows that the longer the aging, the higher the rutting resistance is. Indeed, the aging carried out at 85˚C did results in an accelerated oxidation of the binder. These phenomena are the same that are observed in the PAV and RTFOT aging processes [<xref ref-type="bibr" rid="scirp.85672-ref10">10</xref>] . However, there is no great difference between the resistance to rutting of the hot mix asphalt plates aged for 2 days and 5 days.</p></sec><sec id="s3_2"><title>3.2. Rutting Test on the Complex Structure HMA + Micro-Surfacing</title><p>The rut depth results are shown in <xref ref-type="fig" rid="fig4">Figure 4</xref> (slabs rehabilitated with virgin micro-surfacing) and <xref ref-type="fig" rid="fig5">Figure 5</xref> (slabs rehabilitated with recycled micro-surfacing). The first thing to note on both figures is that from 0 to 30,000 cycles, only the HMA slabs are tested. At 30,000 cycles, the slabs are rehabilitated, which is why the rut depth goes down to zero.</p><p>As it can be seen from <xref ref-type="fig" rid="fig4">Figure 4</xref> and <xref ref-type="fig" rid="fig5">Figure 5</xref>, the rutting resistance of ESG-10 mixes without micro-surfacing increase with the curing and aging times. The same trend is observed when micro-surfacing is added on top of the ESG-10 mixes. Also, by addition of micro-surfacing, the rutting resistance of ESG-10 mixes was improved. <xref ref-type="fig" rid="fig5">Figure 5</xref> also shows that the rutting resistance of ESG-10 mixes is further improved with the addition of micro-surfacing mixes which consists of 50% RAP as the aggregates in micro-surfacing mixes.</p><p>We believe that the rutting resistance is improved due to the existence of aged bitumen in both ESG-10 and micro-surfacing mixes. Also, the rutting resistance is further improved by using the 50% RAP as the aggregates in the micro-surfacing. This can be explained by the existence of high stiffness (very low penetration) of the RAP binder.</p><p>The complex structure HMA/virgin micro-surfacing and HMA/recycled micro-surfacing have a deformation memory due to the initial rutting of the asphalt plate. Hence, a higher resistance to rutting was observed for the complex structure HMA/virgin micro-surfacing and HMA/recycled micro-surfacing. Initially, the micro-surfacing fills the initial ruts of the slabs, then it brings a reinforcement of 15-mm thick allowing the whole structure to perform better. It should be noted however that it is necessary that micro-surfacing, conforming to the specifications of the ISSA, do not undergo a heat wave before being well stabilized, since it would results in a structure highly sensitive to rutting.</p><p>All tested slabs in this study meet the requirements of NF EN 13108-1 standard since all the complex HMA/virgin micro-surfacing have rutting percentages of less than 10% to 30,000 cycles.</p></sec><sec id="s3_3"><title>3.3. Prediction of the Rutting of the HMA/Micro-Surfacing Complex</title><p>Statistically, the validation of the model will be carried out through the adjusted coefficient of determination R a 2 and the ratio between the standard error S<sub>e</sub> and the standard deviation S<sub>y</sub>. These parameters are defined by Equations (1) (2) and (3):</p><p>S e = ∑ ( Y − Y ^ ) 2 x − k (1)</p><p>S y = ∑ ( Y − Y &#175; ) 2 x − 1 (2)</p><p>where x is sample size; k is the number of independent variables in the model; Y: values tested; Y ^ : predicted values and Y &#175; is the mean value of the measured rut depth. The lowest the value of S<sub>e</sub>/S<sub>y</sub>, the greater the prediction [<xref ref-type="bibr" rid="scirp.85672-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.85672-ref13">13</xref>] . The coefficient of determination R<sup>2</sup> is defined by Equation (3):</p><p>R a 2 = 1 − ( x − 1 ) &#215; ( 1 − R 2 ) x − k − 1 (3)</p>Model Development<p>Analysis of the correlation matrix presented in <xref ref-type="table" rid="table3">Table 3</xref> shows that the percentage of virgin aggregate (sand), the percentage of cement and the curing time are not significant with respect to the percentage of rutting. Indeed, they have low correlation coefficients and P &gt; 0.05. Thus, in the prediction of the percentage of rutting, these parameters will not be taken into account.</p><p>The prediction parameters considered are the number of cycles, the percentage of added water, the percentage of bituminous emulsion, the percentage of adhesion agent, filler, and fiber. Analysis of the linear regression showed that the statistical calculation can’t estimate the percentage of rutting according to the percentage of bitumen emulsion, adhesion agent, RAP, fiber and filler. Those parameters are not considerate by the prediction model. Only three variables are selected, including the number of cycles, the rutting state before rehabilitation and the percentage of added water. Hence the development of the model (Equation (4)):</p><p>Rutting ( % ) = − 1 .10 − ( 0 .000024 &#215; Numberofcycle )     + ( 0 .420 &#215; Water ( % ) ) + ( 0 .991 &#215; HMArutting ( % ) ) (4)</p><p><xref ref-type="fig" rid="fig6">Figure 6</xref> shows a strong correlation between the predicted rutting values and the measured rutting values measured with the LPC rut tester. Indeed, a strong</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Correlation matrix</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Number of cycle</th><th align="center" valign="middle" >Sand (%)</th><th align="center" valign="middle" >Added Water (%)</th><th align="center" valign="middle" >Bitumen Emulsion (%)</th><th align="center" valign="middle" >Adhesion Agent (%)</th><th align="center" valign="middle" >Cement (%)</th><th align="center" valign="middle" >RAP (%)</th><th align="center" valign="middle" >Filler (%)</th><th align="center" valign="middle" >Fiber (%)</th><th align="center" valign="middle" >Curing time</th><th align="center" valign="middle" >Rutting state</th></tr></thead><tr><td align="center" valign="middle" >Number of cycle</td><td align="center" valign="middle" >1.000 0.000</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><tr><td align="center" valign="middle" >Sand (%)</td><td align="center" valign="middle" >−0.054 0.709</td><td align="center" valign="middle" >1.000 0.000</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><tr><td align="center" valign="middle" >Added Water (%)</td><td align="center" valign="middle" >0.054 0.709</td><td align="center" valign="middle" >−1.000 *</td><td align="center" valign="middle" >1.000 0.000</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><tr><td align="center" valign="middle" >Bitumen Emulsion (%)</td><td align="center" valign="middle" >0.054 0.709</td><td align="center" valign="middle" >−1.000 *</td><td align="center" valign="middle" >−1.000 *</td><td align="center" valign="middle" >1.000 0.000</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><tr><td align="center" valign="middle" >Adhesion Agent (%)</td><td align="center" valign="middle" >0.054 0.709</td><td align="center" valign="middle" >−1.000 *</td><td align="center" valign="middle" >−1.000 *</td><td align="center" valign="middle" >−1.000 *</td><td align="center" valign="middle" >1.000 0.000</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><tr><td align="center" valign="middle" >Cement (%)</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" >1.000 0.000</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><tr><td align="center" valign="middle" >RAP (%)</td><td align="center" valign="middle" >0.054 0.709</td><td align="center" valign="middle" >−1.000 *</td><td align="center" valign="middle" >−1.000 *</td><td align="center" valign="middle" >−1.000 *</td><td align="center" valign="middle" >−1.000 *</td><td align="center" valign="middle" >* *</td><td align="center" valign="middle" >1.000 0.000</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><tr><td align="center" valign="middle" >Filler (%)</td><td align="center" valign="middle" >0.054 0.709</td><td align="center" valign="middle" >−1.000 *</td><td align="center" valign="middle" >−1.000 *</td><td align="center" valign="middle" >−1.000 *</td><td align="center" valign="middle" >−1.000 *</td><td align="center" valign="middle" >* *</td><td align="center" valign="middle" >−1.000 *</td><td align="center" valign="middle" >1.000 0.000</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Fiber (%)</td><td align="center" valign="middle" >0.054 0.709</td><td align="center" valign="middle" >−1.000 *</td><td align="center" valign="middle" >−1.000 *</td><td align="center" valign="middle" >−1.000 *</td><td align="center" valign="middle" >−1.000 *</td><td align="center" valign="middle" >* *</td><td align="center" valign="middle" >−1.000 *</td><td align="center" valign="middle" >−1.000 *</td><td align="center" valign="middle" >1.000 0.000</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Cirng Time</td><td align="center" valign="middle" >−0.064 0.657</td><td align="center" valign="middle" >0.023 0.873</td><td align="center" valign="middle" >−0.023 0.873</td><td align="center" valign="middle" >−0.023 0.873</td><td align="center" valign="middle" >−0.023 0.873</td><td align="center" valign="middle" >* *</td><td align="center" valign="middle" >−0.023 0.873</td><td align="center" valign="middle" >−0.023 0.873</td><td align="center" valign="middle" >−0.023 0.873</td><td align="center" valign="middle" >1.000 0.000</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Rutting State</td><td align="center" valign="middle" >0.774 0.000</td><td align="center" valign="middle" >−0.081 0.570</td><td align="center" valign="middle" >0.081 0.570</td><td align="center" valign="middle" >0.081 0.570</td><td align="center" valign="middle" >0.081 0.570</td><td align="center" valign="middle" >* *</td><td align="center" valign="middle" >0.081 0.570</td><td align="center" valign="middle" >0.081 0.570</td><td align="center" valign="middle" >0.081 0.570</td><td align="center" valign="middle" >−0.240 0.090</td><td align="center" valign="middle" >1.000 0.000</td></tr><tr><td align="center" valign="middle" >Percentage of rutting</td><td align="center" valign="middle" >0.528 0.000</td><td align="center" valign="middle" >−0.333 0.017</td><td align="center" valign="middle" >0.333 0.017</td><td align="center" valign="middle" >0.333 0.017</td><td align="center" valign="middle" >0.333 0.017</td><td align="center" valign="middle" >* *</td><td align="center" valign="middle" >0.333 0.017</td><td align="center" valign="middle" >0.333 0.017</td><td align="center" valign="middle" >0.333 0.017</td><td align="center" valign="middle" >−0.514 0.000</td><td align="center" valign="middle" >0.757 0.000</td></tr></tbody></table></table-wrap><p>adjusted coefficient of determination of R<sup>2</sup> = 0.65 is obtained with an average dispersion of S<sub>e</sub>/S<sub>y</sub> = 0.73.</p><p>The Analysis of the variance (<xref ref-type="table" rid="table4">Table 4</xref>) showed that the rutting state before rehabilitation and the amount of added water are the most significant parameters in the rutting prediction model. The analysis of the variance also shows that the variable rutting state of the pavement has a p-value more significant than the</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Variance analysis of model prediction variables</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Source</th><th align="center" valign="middle" >Liberty degree</th><th align="center" valign="middle" >Sum of Adjusted squared value</th><th align="center" valign="middle" >Adjusted squared average value</th><th align="center" valign="middle" >F-value</th><th align="center" valign="middle" >P-value</th></tr></thead><tr><td align="center" valign="middle" >Regression</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >123.713</td><td align="center" valign="middle" >41.2375</td><td align="center" valign="middle" >29.60</td><td align="center" valign="middle" >0.000</td></tr><tr><td align="center" valign="middle" >Number of cycle MLPC</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.451</td><td align="center" valign="middle" >1.4511</td><td align="center" valign="middle" >1.04</td><td align="center" valign="middle" >0.313</td></tr><tr><td align="center" valign="middle" >Water (%)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >13.930</td><td align="center" valign="middle" >13.9305</td><td align="center" valign="middle" >10.00</td><td align="center" valign="middle" >0.003</td></tr><tr><td align="center" valign="middle" >Pavement rutting</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >53.390</td><td align="center" valign="middle" >53.3903</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >0.000</td></tr><tr><td align="center" valign="middle" >Error</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >65.484</td><td align="center" valign="middle" >1.3903</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Inadequacy of adjustement</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >61.663</td><td align="center" valign="middle" >2.5693</td><td align="center" valign="middle" >15.47</td><td align="center" valign="middle" >0.000</td></tr><tr><td align="center" valign="middle" >Pure error</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >3.820</td><td align="center" valign="middle" >0.166</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >189.196</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>variable percentage of added water. Thus, the parameter “added water” influences less the behaviour of the model. The cycle number is the least significant parameter of the model, its p-value is not significant. However, it remains an important parameter in the prediction of rutting.</p></sec></sec><sec id="s4"><title>4. Conclusions</title><p>This article showed that thermal aging in oven has an impact on the resistance to the permanent deformation of bituminous mixes. Indeed, the study of the influence of aging in terms of resistance to rutting of hot mix asphalt showed that their resistance to rutting increased with the aging. Tests done on the complex structure HMA/Micro-surfacing allowed us to show that the longer the aging of the hot-mix asphalt slabs rehabilitated by micro-surfacing is, the higher their resistance to rutting becomes, provided that the HMA coated by micro-surfacing is well stabilized with implementation rather far from the summer heat wave.</p><p>These phenomena are essentially due to the oxidation of the bituminous binders contained in these materials and leading them to harden. In addition, a memory phenomenon (summation) of the initial rutting of the bituminous mix is observed. Indeed, the secondary rutting observed on the complex structure HMA/Micro-surfacing is more important than the initial rutting of the HMA slab.</p><p>The study also showed that the rut depth before rehabilitation (rutting state) and input water (added water) percentage parameters are significant in the rutting prediction model, while the cycle number remains a non-significant parameter in the model but determinant. The regression analysis showed a strong correlation between the rutting values predicted by the model and the values measured in the laboratory with the LPC rut tester.</p></sec><sec id="s5"><title>Acknowledgements</title><p>To Probinord, LCMB and ETSP.</p></sec><sec id="s6"><title>Cite this paper</title><p>Garfa, A., Carter, A. and Dony, A. (2018) Rutting Resistance of HMA Rehabilitated with Micro-Surfacing. 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