This study hybridized the ensemble and weight optimization approaches with an artificial
neural network (ANN) algorithm to forecast the dynamic modulus (E*) of asphalt concrete …

Dynamic modulus (E∗) plays a dominant role in comprehensively capturing the mechanical
behavior of asphalt mixture. Many researchers tried to consider E∗ as a performance …

To evaluate the impact of coarse aggregate morphology on the mechanical performance of
the asphalt mixture, the coarse aggregates with diverse wearing times were prepared and …

Prediction of the train body vibrations induced by the train running is desirable and useful to
ensure comfortable service, reliable, safe, and secure operation of railway systems. By using …

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 …

In the actual service process of asphalt pavement, the dynamic response of the pavement
structure layer is induced by vehicle loads. The dynamic modulus is a crucial parameter for …

Due to the decreasing availability of virgin materials coupled with an increased awareness
of environmental sustainability issues, many researchers have focused their efforts on …

The prediction of asphalt mixture dynamic modulus (E*) was investigated based on 1128 E*
measurements, using three regression and thirteen machine learning models. Asphalt …

This study introduces and evaluates a novel artificial hummingbird algorithm-optimised
boosted tree (AHA-boosted) model for predicting the dynamic modulus (E∗) of hot mix …

Aging of asphalt and mixture occurs with extension of service time, thereby reducing
performance of asphalt mixtures, and causing considerable impact on the function of …