Predicting the compressive strength of engineered geopolymer composites using automated machine learning-Reference-Cited by-同舟云学术

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Predicting the compressive strength of engineered geopolymer composites using automated machine learning

Published:2024-09 Issue: Volume:442 Page:137509
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Gad Mahmoud Anwar^ORCID,Nikbakht Ehsan,Ragab Mohammed Gamal

Publisher

Elsevier BV

Reference56 articles.

1. J.M. Harper, G82-623 An Overview of Concrete as a Building Material, no. January 1982, 2015.

2. Cement and concrete as an engineering material: An historic appraisal and case study analysis;Gagg;Eng. Fail. Anal.,2014

3. Structural performance of sandwich steel-concrete-steel composites utilising engineered cementitious composites;Gad;Structures,2023

4. Fibre reinforced cement-based (FRC) composites after over 40 years of development in building and civil engineering;Brandt;Compos. Struct.,2008

5. Influence of Secondary Reinforcement on Behaviour of Corbels with Various Types of High-Performance Fiber-Reinforced Cementitious Composites;Md Zin;Mater. (Basel),2019

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