Building MLR, ANN and FL models to predict the strength of problematic clayey soil stabilized with a combination of nano lime and nano pozzolan of natural sources for pavement construction

Building MLR, ANN and FL models to predict the strength of problematic clayey soil stabilized with a combination of nano lime and nano pozzolan of natural sources for pavement construction

Abstract The current study aims at predicting the strength of the problematic clayey soils treated with combinations of pozzolan of natural sources and lime powder when added as soil additives at a nano scale. Multiple linear regression (MLR), artificial neural networks (ANN) and fuzzy logic (FL) to...

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Bibliographic Details
Main Authors: Aref M. Al-Swaidani, Ayman Meziab, Waed T. Khwies, Mohamad Al-Bali, Tarek Lala
Format: Article
Language:English
Published: SpringerOpen 2024-02-01
Series:International Journal of Geo-Engineering
Subjects:
AI
Nano-pozzolan
Nano-lime
CBR
PI
Pavement construction
Online Access:https://doi.org/10.1186/s40703-023-00201-1

Internet

https://doi.org/10.1186/s40703-023-00201-1

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