A Novel Approach to Swell Mitigation: Machine-Learning-Powered Optimal Unit Weight and Stress Prediction in Expansive Soils

A Novel Approach to Swell Mitigation: Machine-Learning-Powered Optimal Unit Weight and Stress Prediction in Expansive Soils

Expansive soils pose significant challenges to structural integrity, primarily due to volumetric changes that can lead to detrimental consequences and substantial economic losses. This study delves into the intricate dynamics of expansive soils through loaded swelling pressure experiments conducted...

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Bibliographic Details
Main Authors: Ammar Alnmr, Richard Ray, Mounzer Omran Alzawi
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Applied Sciences
Subjects:
clay
sand (additives)
swelling pressure
loaded swelling pressure
partial saturation
machine learning
Online Access:https://www.mdpi.com/2076-3417/14/4/1411

Internet

https://www.mdpi.com/2076-3417/14/4/1411

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