Predictive modeling of Cbr and compressibility in lime stabilized lateritic soil using machine learning and Pchip data augmentation

Predictive modeling of Cbr and compressibility in lime stabilized lateritic soil using machine learning and Pchip data augmentation

Abstract This study investigated the compressibility and strength enhancement of A-2-6(0) lateritic soil, common in tropical regions, using quicklime stabilization. Integrating laboratory experiments with machine learning (ML) predictive modeling, the research aimed to support field-scale applicatio...

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Bibliographic Details
Main Authors: Hyginus Obinna Ozioko, Emmanuel Ebube Eze
Format: Article
Language:English
Published: Springer 2025-08-01
Series:Discover Civil Engineering
Subjects:
Data interpolation
Predictive modelling
Machine learning
CBR
Laterite and lime stabilization
Online Access:https://doi.org/10.1007/s44290-025-00304-x
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https://doi.org/10.1007/s44290-025-00304-x

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