State-of-the-art review of geotechnical-driven artificial intelligence techniques in underground soil-structure interaction
There has been an increasing demand for underground construction due to urbanization
and limited land in metropolitan cities in the recent years. However, the behavior of …
and limited land in metropolitan cities in the recent years. However, the behavior of …
Ensemble extreme gradient boosting based models to predict the bearing capacity of micropile group
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 …
encountered in geotechnical engineering, employing micropile usually leads to satisfactory …
Optimization of ANFIS with GA and PSO estimating α ratio in driven piles
This study aimed to optimize Adaptive Neuro-Fuzzy Inferences System (ANFIS) with two
optimization algorithms, namely, Genetic Algorithm (GA) and Particle Swarm Optimization …
optimization algorithms, namely, Genetic Algorithm (GA) and Particle Swarm Optimization …
A new development of ANFIS–GMDH optimized by PSO to predict pile bearing capacity based on experimental datasets
Prediction of ultimate pile bearing capacity with the aid of field experimental results through
artificial intelligence (AI) techniques is one of the most significant and complicated problem …
artificial intelligence (AI) techniques is one of the most significant and complicated problem …
A new hybrid simulated annealing-based genetic programming technique to predict the ultimate bearing capacity of piles
The aim of this research is to develop three soft-computing techniques, including adaptive-
neuro-fuzzy inference system (ANFIS), genetic-programming (GP) tree-based, and …
neuro-fuzzy inference system (ANFIS), genetic-programming (GP) tree-based, and …
Prediction of UCS and CBR behavior of fiber-reinforced municipal solid waste incinerator bottom ash composites using experimental and machine learning methods
The present study deals with the evaluation of municipal solid waste incinerator bottom ash
under the various design parameters considering Geotechnical and Geoenvironmental …
under the various design parameters considering Geotechnical and Geoenvironmental …
[HTML][HTML] Development of genetic-based models for predicting the resilient modulus of cohesive pavement subgrade soils
The accurate determination of resilient modulus (M r) of pavement subgrade soils is an
important factor for the successful design of pavement system. The important soil property M …
important factor for the successful design of pavement system. The important soil property M …
Develo** random forest hybridization models for estimating the axial bearing capacity of pile
Accurate determination of the axial load capacity of the pile is of utmost importance when
designing the pile foundation. However, the methods of determining the axial load capacity …
designing the pile foundation. However, the methods of determining the axial load capacity …
Experimental investigation and modelling the deformation properties of demolition wastes subjected to freeze–thaw cycles using ANN and SVR
Construction and demolition (C&D) waste materials are widely being used as a pavement
construction material. The aim of this research is to investigate the effect of freeze–thaw (FT) …
construction material. The aim of this research is to investigate the effect of freeze–thaw (FT) …
[HTML][HTML] Systematic literature review and map** of the prediction of pile capacities
Predicting the pile's load capacity is one of the first steps of foundation engineering design.
In geotechnical engineering, there are different ways of predicting soil resistance, which is …
In geotechnical engineering, there are different ways of predicting soil resistance, which is …