Predicting the Strength Performance of Hydrated-Lime Activated Rice Husk Ash-Treated Soil Using Two Grey-Box Machine Learning Models
Geotechnical engineering relies heavily on predicting soil strength to ensure safe and efficient construction projects. This paper presents a study on the accurate prediction of soil strength properties, focusing on hydrated-lime activated rice husk ash (HARHA) treated soil. To achieve precise predi...
Main Authors: | Abolfazl Baghbani, Amin Soltani, Katayoon Kiany, Firas Daghistani |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-09-01
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Series: | Geotechnics |
Subjects: | |
Online Access: | https://www.mdpi.com/2673-7094/3/3/48 |
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