TITLE:
Evaluation of Dynamic Modulus of HMA Sigmoidal Prediction Models and Optimization by Approach of U.S. Mesh Sieve by AFNOR and LC Mesh Sieve
AUTHORS:
Mouhamed Lamine Chérif Aidara, Makhaly Ba, Alan Carter
KEYWORDS:
Dynamic Modulus, Mechanistic-Empirical Design, US, Sieve, Mesh, HMA, AFNOR, LC
JOURNAL NAME:
Open Journal of Civil Engineering,
Vol.10 No.3,
July
24,
2020
ABSTRACT: Pavement design tools are not universal. Indeed, in the sizing of
pavements in the USA, the prediction models used in the calculation of the
dynamic modulus of HMA are not adapted to the characterization of the mineral
skeleton of the HMA mix designed with the French method. This article aims to assess the
predictive models of the dynamic modulus used in the mechanistic-empirical
design for their use in the design of bituminous pavements, and to develop new
predictive models taking into account the sieve series LC and AFNOR standards.
A total of six types of mixtures were subjected to the determination of complex
modulus testing by direct tensile-compression on cylindrical specimens (26-700
LC) over a temperature range (5) and frequency (5) data. Dynamic modulus
prediction models |E*| are studied
Witczak model 1999 and model Witczak 2006. These models do not take into
account the AFNOR or LC mesh sieve, an approach was made in relation to the US
mesh sieve to replace ρ200 (0.075 mm), ρ4 (4.76 mm), ρ38 (9.5 mm) and ρ34 (19 mm) respectively by
the AFNOR mesh P0.08 (0.08
mm), R5 (5 mm), R10 (10 mm) and R14 (14 mm). The result is
the production of two models whose are evaluated by correlation with the values
|E*| of modulus measured in the laboratory is
satisfactory (R2 = 0.83
respectively R2 = 0.71 and p-value = 0.00). The optimization of
these approximate models gave new models with the same frame as the original
models and a better correlation with the data observed in the laboratory
(respectively R2 = 0. 95
and R2 = 0.91 p-value = 0.00).