Expansive soils are problematic for direct engineering applications in their natural state
because of the shrink-swell phenomenon. Numerous stabilizers and methods have been …

Particle swarm optimization (PSO) is an evolutionary computation approach to solve
nonlinear global optimization problems. The PSO idea was made based on simulation of a …

Despite the extensive use of mortars materials in constructions over the last decades, there
is not yet a reliable and robust method, available in the literature, which can estimate its …

In most cases in which non-allowable settlement or losing of bearing capacity has been
encountered in geotechnical engineering, employing micropile usually leads to satisfactory …

The major criteria that control pile foundation design is pile bearing capacity (Pu). The load
bearing capacity of piles is affected by the various characteristics of soils and the …

In the present study, we applied artificial neural network (ANN) optimized with particle
swarm optimization (PSO) for the problem of landslide susceptibility mapping (LSM) …

The aim of this research is to develop new intelligent prediction models for estimating the
tunnel boring machine performance (TBM) by means of the rate pf penetration (PR). To …

The pile bearing capacity is considered as the most essential factor in designing deep
foundations. Direct determination of this parameter in site is costly and difficult. Hence, this …

This study aims to develop several optimization techniques for predicting advance rate of
tunnel boring machine (TBM) in different weathered zones of granite. For this purpose …

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