Multi-objective optimization of engineered cementitious composite based on machine learning and generative adversarial network-Reference-Cited by-同舟云学术

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Multi-objective optimization of engineered cementitious composite based on machine learning and generative adversarial network

Published:2024-11 Issue: Volume:96 Page:110471
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Wang Yufei,Sun Junbo,Wang Xiangyu,Li Shengping^ORCID,Zhao Hongyu,Huang Bo,Cao Yujie^ORCID,Saafi Mohamed

Publisher

Elsevier BV

Reference100 articles.

1. Engineered Cementitious Composites (ECC): Bendable Concrete for Sustainable and resilient infrastructure;Li Victor,2019

2. Direct tensile properties of engineered cementitious composites: a review;Kequan;Construct. Build. Mater.,2018

3. Development of ultra-high performance engineered cementitious composites using polyethylene (PE) fibers;Ke-Quan;Construct. Build. Mater.,2018

4. Machine-learning-Aided prediction of flexural strength and ASR expansion for waste glass cementitious composite;Sun;Appl. Sci.,2021

5. Generative AI for performance-based design of engineered cementitious composite;Yu;Compos. B Eng.,2023

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