Resilient modulus (MR) plays the most critical role in the evaluation and design of flexible
pavement foundations. MR is utilised as the principal parameter for representing stiffness …

The resilient modulus (MR) of various pavement materials plays a significant role in the
pavement design by a mechanistic-empirical method. The MR determination is done by …

The prediction of liquefaction-induced lateral spreading/displacement (D h) is a challenging
task for civil/geotechnical engineers. In this study, a new approach is proposed to predict D h …

The compaction quality of a highway subgrade is influenced by the compaction parameters
and soil properties. Current practice lacks reliable models to assess this multivariate …

Pavement performance prediction is a major part of a pavement management system that
directly impacts the effectiveness of maintenance and rehabilitation decisions. The …

In this article, detailed trials were undertaken to study the variation in genetic parameters in
order to formulate more robust predictive models using gene expression programming …

The wide application of intelligent compaction in subgrade construction is limited by the
evaluation accuracy. The current practice assumes the compacted site as a homogeneous …

In order to reveal the characteristics of strength and fatigue damage of cement-treated
aggregate base materials and improve the accuracy of semi-rigid base asphalt pavement …

In order to investigate the influence of municipal solid waste incineration (MSWI) fly ash on
the characterization of cement-stabilized macadam (CSM), MSWI fly ash was studied as a …

This study aims at developing a gene expression programming (GEP) model and an artificial
neural network (ANN) model to predict the resilient modulus (MR) of compacted pavement …