Performance-based evaluation and UCS prediction of rice husk ash-stabilized expansive subgrade soil using experiments and explainable machine learning
Authors:
Open Access
- 17 June 2026
- journal article
- research article
- Published by Springer Nature in Multiscale and Multidisciplinary Modeling, Experiments and Design
- Vol. 9 (1) , 150
Abstract
No abstract availableKeywords
This publication has 29 references indexed in Scilit:
- Advancement in soil stabilisation process by utilising fly ash-red mud geopolymer: a comprehensive reviewDiscover Materials, 2025
- Design and Cost Analysis of Flexible Pavement Constructed Using Rice Husk Ash and Brick Kiln DustGeotechnical and Geological Engineering, 2024
- Enhancing unconfined compressive strength prediction in nano-silica stabilized soil: a comparative analysis of ensemble and deep learning modelsModeling Earth Systems and Environment, 2024
- Unconfined compressive strength prediction of stabilized expansive clay soil using machine learning techniquesMultiscale and Multidisciplinary Modeling, Experiments and Design, 2023
- An Artificial Intelligence Based Data-Driven Method for Forecasting Unconfined Compressive Strength of Cement Stabilized Soil by Deep Mixing TechniqueGeotechnical and Geological Engineering, 2022
- Development of a plastering mortar using waste bagasse and rice husk ashes with sound mechanical and thermal propertiesCase Studies in Construction Materials, 2022
- Sub-grade characteristics of soil stabilized with agricultural waste, constructional waste, and limeBulletin of Engineering Geology and the Environment, 2020
- Influence of Clay Content and Montmorillonite Content on Swelling Behavior of Expansive SoilsInternational Journal of Geosynthetics and Ground Engineering, 2020
- Influence of using rice husk ash in soil stabilization method with limeFrontiers of Earth Science in China, 2010
- Stabilization of residual soil with rice husk ash and cementConstruction and Building Materials, 2005