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Article
Predicting the rock cutting performance indices using gene expression modeling
In this study, a machine learning approach was employed to optimize the rock cutting process for construction practices and geotechnical engineering applications. The primary objective was to develop predictiv...
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Article
Utilizing undisturbed soil sampling approach to predict elastic modulus of cohesive soils: a Gaussian process regression model
This study addresses a critical issue of sample disturbance in predicting the elastic modulus (Es) of soft cohesive soils using machine learning techniques. Traditional approaches either use inaccurately disturbe...
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Article
Prediction of soil compaction parameters through the development and experimental validation of Gaussian process regression models
The laboratory determination of maximum dry density (ρdmax) and optimum moisture content (wopt) of soils requires considerable time and energy. Efforts have been made in the past to present models to predict the ...
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Article
A sustainable approach for estimating soft ground soil stiffness modulus using artificial intelligence
Soft soils pose significant challenges to the environment and construction of infrastructure on them owing to their distinct characteristics such as low bearing strength, high water content, low permeability, ...
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Article
Estimation of Anchor Capacity in Net Protection System with Brake Frame for Debris Flow Based on Impact Energy
New energy absorption devices have been developed for use in net-type debris flow protection systems. The capacity of the anchors in the system needs careful analysis because the anchors play a significant rol...
