Investigating the feasibility of genetic algorithms in predicting the properties of eco-friendly alkali-based concrete-Reference-Cited by-同舟云学术

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Investigating the feasibility of genetic algorithms in predicting the properties of eco-friendly alkali-based concrete

Published:2023-12 Issue: Volume:409 Page:134101
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Jin Conghe,Qian Yongjiu,Ayub Khan Suleman,Ahmad Waqas^ORCID,Althoey Fadi^ORCID,Saad Alotaibi Badr,Awad Abuhussain Mohammed

Funder

National Natural Science Foundation of China

Najran University

Ministry of Education – Kingdom of Saudi Arabi

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference60 articles.

1. Nanoscience of cement and concrete;Singh;Mater. Today: Proc.,2017

2. The role of calcium aluminate cement in developing an efficient ultra-high performance concrete resistant to explosive spalling under high temperatures;Khan;Constr. Build. Mater.,2023

3. Options for the future of cement;Scrivener;Indian Concr. J.,2014

4. Structural concrete based on alkali-activated binders: Terminology, reaction mechanisms, mix designs and performance;Herrmann;Struct. Concr.,2018

5. Designing precursors for geopolymer cements;Duxson;J. Am. Ceram. Soc.,2008

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Genetic programming to understand the influence of new sustainable powder materials in the fresh performance of cement pastes;Journal of Building Engineering;2024-07

2. Supplementary cementitious materials-based concrete porosity estimation using modeling approaches: A comparative study of GEP and MEP;REVIEWS ON ADVANCED MATERIALS SCIENCE;2024-01-01

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

4. Investigating the rheological characteristics of alkali-activated concrete using contemporary artificial intelligence approaches;REVIEWS ON ADVANCED MATERIALS SCIENCE;2024-01-01

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