Selected AI optimization techniques and applications in geotechnical engineering
KC Onyelowe, FF Mojtahedi, AM Ebid… - Cogent …, 2023 - Taylor & Francis
In an age of depleting earth due to global warming impacting badly on the ozone layer of the
earth system, the need to employ technologies to substitute those engineering practices …
earth system, the need to employ technologies to substitute those engineering practices …
A scientometrics review of soil properties prediction using soft computing approaches
In this world, several types of soils are available with their different engineering properties.
Determining each soil's engineering properties is difficult because the laboratory procedures …
Determining each soil's engineering properties is difficult because the laboratory procedures …
A novel hybrid soft computing model using random forest and particle swarm optimization for estimation of undrained shear strength of soil
Determination of shear strength of soil is very important in civil engineering for foundation
design, earth and rock fill dam design, highway and airfield design, stability of slopes and …
design, earth and rock fill dam design, highway and airfield design, stability of slopes and …
Prediction of UCS of fine-grained soil based on machine learning part 1: multivariable regression analysis, gaussian process regression, and gene expression …
The present research introduces the best architecture approach and model for predicting the
unconfined compressive strength (UCS) of cohesive virgin soil by comparing the …
unconfined compressive strength (UCS) of cohesive virgin soil by comparing the …
Some applications of adaptive neuro-fuzzy inference system (ANFIS) in geotechnical engineering
This paper presents a review of the Adaptive Neuro-Fuzzy Inference System (ANFIS) in
current use for geotechnical engineering-based studies, as well as some applications …
current use for geotechnical engineering-based studies, as well as some applications …
Prediction of compaction and strength properties of amended soil using machine learning
WZ Taffese, KA Abegaz - Buildings, 2022 - mdpi.com
In the current work, a systematic approach is exercised to monitor amended soil reliability for
a housing development program to holistically understand the targeted material mixture and …
a housing development program to holistically understand the targeted material mixture and …
Estimation of unconfined compressive strength of marine clay modified with recycled tiles using hybridized extreme gradient boosting method
D Li, X Zhang, Q Kang, E Tavakkol - Construction and Building Materials, 2023 - Elsevier
An accurate evaluation of the clay's properties when mixed with recyclable materials is the
end objective of many geotechnical experimental efforts. However, experimental studies …
end objective of many geotechnical experimental efforts. However, experimental studies …
Prediction of the unconfined compressive strength of stabilised soil by Adaptive Neuro Fuzzy Inference System (ANFIS) and Non-Linear Regression (NLR)
This paper describes the effect of stabilizer content, curing time and moisture content on the
UCS based upon 150 samples of stabilized soil. The results indicate an optimum value of …
UCS based upon 150 samples of stabilized soil. The results indicate an optimum value of …
Critical review on the application of artificial intelligence techniques in the production of geopolymer-concrete
The need to employ technology that replaces traditional engineering methods which
generate gases that worsen our environment has emerged in an era of dwindling ecosystem …
generate gases that worsen our environment has emerged in an era of dwindling ecosystem …
Unconfined compressive strength prediction of soils stabilized using artificial neural networks and support vector machines
This study aims to improve the unconfined compressive strength of soils using additives as
well as by predicting the strength behavior of stabilized soils using two artificial-intelligence …
well as by predicting the strength behavior of stabilized soils using two artificial-intelligence …