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 …

In order to ensure safe and sustainable design of geosynthetic-reinforced soil foundation
(GRSF), settlement prediction is a challenging task for practising civil/geotechnical …

According to an extensive evaluation of published studies, there is a shortage of research on
systematic literature reviews related to machine learning prediction techniques and …

The application of artificial neural network (ANN) in predicting pile bearing capacity is
underlined in several studies. However, ANN deficiencies in finding global minima as well …

In the recent times, the use of geosynthetic-reinforced soil (GRS) technology has become
popular for constructing safe and sustainable pavement structures. The strength of the …

A commonly-encountered problem in foundation design is the reliable prediction of the pile
bearing capacity (PBC). This study is planned to propose a feasible soft computing …

In this study, a multivariate adaptive regression splines (MARS) model has been developed
to predict the settlement of shallow reinforced sandy soil foundations (RSSFs). The potential …

Geotechnical engineering deals with materials (eg soil and rock) that, by their very nature,
exhibit varied and uncertain behavior because of the imprecise physical processes …

In civil engineering applications, piles (deep foundations) are pushed into the ground in
order to perform as steady support of structures. As these type of foundations are able to …

The reliable estimation of displacement amplitude is the prime factor for the design of geo-
structures supporting the vibration loads. Currently, very subtle knowledge is available to …