The objective of the present study is to develop and evaluate machine learning-based
prediction models, employing the artificial neural networks (ANNs), Genetic Programming …

The dynamic modulus (E*) of hot-mix asphalt mixtures is one of the most laborious and time-
consuming material parameters to measure in the laboratory. It involves expensive …

Abstract Dynamic modulus (| E*|) measurements of hot-mix asphalt (HMA) mixtures are
critical for understanding material behavior but present significant challenges due to the …

Evaluating the hot mix asphalt (HMA) expected performance is one of the significant aspects
of highways research. Dynamic modulus (E*) presents itself as a fundamental mechanistic …

The dynamic modulus (∣ E*∣) of hot-mix asphalt mixes is one of the most time-consuming
and labour-intensive material metrics to evaluate in the laboratory. This study introduces a …

The dynamic modulus (E*) of hot-mix asphalt mixtures is one of the most tedious and time-
consuming laboratory testing material properties. It requires costly, advanced equipment …

Various models have been developed over the past several decades to predict the dynamic
modulus∣ E*∣ of hot-mix asphalt (HMA) based on regression analysis of laboratory …

To characterize the dynamic modulus (E*) of the asphalt mixtures more accurately, a
comparative study was shown in this paper, combining six ML models (BP, SVM, DT, RF …

The hot-mix asphalt (HMA) dynamic modulus (E*) is a fundamental mechanistic property that
defines the strain response of asphalt concrete mixtures as a function of loading rate and …

Abstract Dynamic modulus (| E∗|) and phase angle (δ) are necessary for determining the
response of asphalt mixtures to in-service traffic and thermal loadings. While a number of …