Predicting the damage to cementitious composites due to acid attack and evaluating the effectiveness of eggshell powder using interpretable artificial intelligence models-Reference-Cited by-同舟云学术

Predicting the damage to cementitious composites due to acid attack and evaluating the effectiveness of eggshell powder using interpretable artificial intelligence models

Published:2023-12 Issue: Volume:37 Page:107333
ISSN:2352-4928
Container-title:Materials Today Communications
language:en
Short-container-title:Materials Today Communications

Author:

Jin Conghe,Qian Yongjiu,Khan Kaffayatullah,Ahmad Ayaz^ORCID,Amin Muhammad Nasir,Althoey Fadi^ORCID,Nawaz R.

Publisher

Elsevier BV

Subject

Materials Chemistry,Mechanics of Materials,General Materials Science

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1. Strength Reduction Due to Acid Attack in Cement Mortar Containing Waste Eggshell and Glass: A Machine Learning-Based Modeling Study;Buildings;2024-01-14

2. Compressive strength of waste-derived cementitious composites using machine learning;REVIEWS ON ADVANCED MATERIALS SCIENCE;2024-01-01

3. Evaluating the strength loss and the effectiveness of glass and eggshell powder for cement mortar under acidic conditions;REVIEWS ON ADVANCED MATERIALS SCIENCE;2024-01-01