This research presents the optimum performance model for predicting the shallow
foundation ultimate bearing capacity (UBC). Twenty-one models are employed, trained …

The purpose of this article is to demonstrate the potential of gene expression programming
(GEP) in anticipating the compressive strength of circular CFRP confined concrete columns …

Ultra-high-performance concrete (UHPC) is a recent class of concrete with improved
durability, rheological and mechanical and durability properties compared to traditional …

The resilient modulus (MR) of pavement subgrade soils essentially describes the structural
response of pavements for a reliable design. Due to the elaborate, expensive and complex …

An innovative multi expression programming (MEP) approach is used to derive new
predictive equations for tangent elastic modulus of normal strength concrete (NSC) and high …

This study presents an artificial intelligence approach, namely multi expression
programming (MEP), for determining ultimate bearing capacity of shallow foundations on …

This study explores the potential of adaptive neuro-fuzzy inference systems (ANFIS) for
prediction of the ultimate axial load bearing capacity of piles (P u) using cone penetration …

Proper estimation of the ultimate bearing capacity of the shallow foundations is of vital
significance as a necessary part of foundation design for different structures. This study aims …

The success of a flexible pavement design depends on the accuracy of determining the
structural response of the pavement to dynamic loads, known as resilient modulus (MR) …

In reinforced concrete (RC), concrete's relatively low tensile strength and ductility are
counteracted by reinforcement of materials having higher tensile strength or ductility, such …