We extend the scope of our recently developed approach for unsupervised automated
discovery of material laws (denoted as EUCLID) to the general case of a material belonging …

Bio oil was proved an effective modifier to improve the compatibility of rubber asphalt.
However, the pathway in which the bio oil enhances the compatibility of rubber asphalt …

The present paper discusses the analysis and modeling of laboratory data regarding the
mechanical characterization of hot mix asphalt (HMA) mixtures for road pavements, by …

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

An efficient method to address the three-dimensional modeling of the visco-elasto-plastic
material behavior, specifically of bituminous conglomerates used in asphalt concrete …

This study introduces a machine learning approach based on Artificial Neural Networks
(ANNs) for the prediction of Marshall test results, stiffness modulus and air voids data of …

The current paper deals with the numerical prediction of the mechanical response of asphalt
concretes for road pavements, using artificial neural networks (ANNs). The asphalt concrete …

The conventional method for determining the Marshall Stability (MS) and Marshall Flow (MF)
of asphalt pavements entails laborious, time-consuming, and expensive laboratory …

In recent years, the attention of many researchers in the field of pavement engineering has
focused on the search for alternative fillers that could replace Portland cement and …

Stiffness modulus represents one of the most important parameters for the mechanical
characterization of asphalt mixtures (AMs). At the same time, it is a crucial input parameter in …