This paper presents a method for estimating the creep compliance parameter used to characterize the low-temperature behavior of asphalt concrete mixes and predict thermal cracking of roads. The method tested several artificial neural network (ANN) models to assess their ability to predict asphalt behavior using historical data from long term pavement performance (LTPP) sites.Le nouveau guide de conception m\ue9caniste-empirique des chauss\ue9es qui a \ue9t\ue9 mis au point dans le cadre du projet NCHRP 1-37A a adopt\ue9 le param\ue8tre de l'adaptabilit\ue9 au fluage aux fins de la caract\ue9risation du comportement \ue0 basse temp\ue9rature des mat\ue9riaux bitumineux. On l'utilise pour pr\ue9dire la fissuration thermique des routes. Toutef...
Asphalt endurance limit is a strain value if experienced by asphalt pavement layer, no accumulated d...
This paper assessed the suitability of artificial neural networks (ANN) as an analytical technique f...
The present paper discusses the analysis and modeling of laboratory data regarding the mechanical c...
Creep compliance of the hot-mix asphalt (HMA) is a primary input of the current pavement thermal cra...
Creep compliance of the hot-mix asphalt (HMA) is a primary input of the pavement thermal cracking pr...
The paper deals with the numerical prediction of the mechanical response of asphalt concretes for ro...
The current paper deals with the numerical prediction of the mechanical response of Asphalt Concrete...
The low-temperature creep compliances (D(t)) of asphalt mixture is one of the necessary parameters t...
237-244In this study, the estimation of the low temperature performance of modified asphalt mixtur...
438-448This study intends to investigate temperature sensitivity of emulsified asphalt mixtures (co...
Evaluation and characterization of pavements that incorporate sustainable technologies and materials...
Due to the complex behavior of asphalt pavement materials under various loading conditions, pavement...
In this study a novel procedure is presented for an efficient development of predictive models of ro...
Artificial Neural Networks (ANN) are the highly interconnected structures which have strong computat...
Dynamic modulus |E*| is one of the essential material properties input in the American Association o...
Asphalt endurance limit is a strain value if experienced by asphalt pavement layer, no accumulated d...
This paper assessed the suitability of artificial neural networks (ANN) as an analytical technique f...
The present paper discusses the analysis and modeling of laboratory data regarding the mechanical c...
Creep compliance of the hot-mix asphalt (HMA) is a primary input of the current pavement thermal cra...
Creep compliance of the hot-mix asphalt (HMA) is a primary input of the pavement thermal cracking pr...
The paper deals with the numerical prediction of the mechanical response of asphalt concretes for ro...
The current paper deals with the numerical prediction of the mechanical response of Asphalt Concrete...
The low-temperature creep compliances (D(t)) of asphalt mixture is one of the necessary parameters t...
237-244In this study, the estimation of the low temperature performance of modified asphalt mixtur...
438-448This study intends to investigate temperature sensitivity of emulsified asphalt mixtures (co...
Evaluation and characterization of pavements that incorporate sustainable technologies and materials...
Due to the complex behavior of asphalt pavement materials under various loading conditions, pavement...
In this study a novel procedure is presented for an efficient development of predictive models of ro...
Artificial Neural Networks (ANN) are the highly interconnected structures which have strong computat...
Dynamic modulus |E*| is one of the essential material properties input in the American Association o...
Asphalt endurance limit is a strain value if experienced by asphalt pavement layer, no accumulated d...
This paper assessed the suitability of artificial neural networks (ANN) as an analytical technique f...
The present paper discusses the analysis and modeling of laboratory data regarding the mechanical c...