Prediction of Unconfined Compressive Strength in Cement-Treated Soils: A Machine Learning Approach

Prediction of Unconfined Compressive Strength in Cement-Treated Soils: A Machine Learning Approach

This study integrates systematic laboratory testing with advanced machine learning techniques to predict the unconfined compressive strength (UCS) of cement-treated clayey silt from northwestern Iași, Romania. Laboratory experiments generated 185 UCS measurements, examining the effects of cement con...

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Bibliographic Details
Main Authors: Iancu-Bogdan Teodoru, Zakaria Owusu-Yeboah, Mircea Aniculăesi, Andreea Vasilica Dascălu, Florian Hörtkorn, Alessia Amelio, Irina Lungu
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
soil–cement
unconfined compression strength
soil stabilization
cement treatment
machine learning
ground improvement
Online Access:https://www.mdpi.com/2076-3417/15/13/7022
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