A systematic literature review of AI-based prediction methods for self-compacting, geopolymer, and other eco-friendly concrete types: Advancing sustainable concrete
Author:
Funder
King Khalid University
Publisher
Elsevier BV
Reference268 articles.
1. Predictive models for concrete properties using machine learning and deep learning approaches: a review;Mohtasham Moein;J. Build. Eng.,2023
2. CO2 emission patterns in shrinking and growing cities: a case study of Northeast China and the Yangtze River Delta;Xiao;Appl. Energy,2019
3. Global strategies and potentials to curb CO2 emissions in cement industry;Benhelal;J. Clean. Prod.,2013
4. Mechanical strength and microstructure of engineered cementitious composites: a new configuration for direct tensile strength, experimental and numerical analysis;Tahmouresi;Constr. Build. Mater.,2021
5. Machine learning-based compressive strength prediction for concrete: an adaptive boosting approach;Feng;Constr. Build. Mater.,2020
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