A generic framework for mix design of geopolymer for soil stabilization: Composition-informed machine learning model-Reference-Cited by-同舟云学术

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A generic framework for mix design of geopolymer for soil stabilization: Composition-informed machine learning model

Published:2024-06 Issue: Volume:170 Page:106322
ISSN:0266-352X
Container-title:Computers and Geotechnics
language:en
Short-container-title:Computers and Geotechnics

Author:

Zhang Jiaqi,Choi Clarence Edward,Liang Zhengyu^ORCID,Li Ruoying

Publisher

Elsevier BV

Reference68 articles.

1. Characteristic evaluation of geopolymer based lateritic soil stabilization enriched with eggshell ash and rice husk ash for road construction: an experimental investigation;Anburuvel;Constr. Build. Mater.,2023

2. Stabilization of expansive soils using chemical additives: a review;Barman;J. Rock Mech. Geotech.,2022

3. Performances of using geopolymers made with various stabilizers for deep mixing;Canakci;Materials,2019

4. Evaluating the effect of active ions on the early performance of soft clay solidified by modified biomass waste-rice husk ash;Chen;Acta Geotech.,2023

5. Algorithms to estimate shapley value feature attributions;Chen;Nat. Mach. Intell.,2023

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