Advancing service life estimation of reinforced concrete considering the coupling effects of multiple factors: Hybridized physical testing and machine learning approach-Reference-Cited by-同舟云学术

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Advancing service life estimation of reinforced concrete considering the coupling effects of multiple factors: Hybridized physical testing and machine learning approach

Published:2024-05 Issue: Volume:84 Page:108476
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Yu Xuanrui,Li Jiehong,Yu Yang,Song Anxiang

Funder

Australian Research Council

Publisher

Elsevier BV

Reference31 articles.

1. Modelling and verification for dual time-dependent chloride diffusion of circular concrete columns in marine environment;Wang;J. Build. Eng.,2023

2. Fractal derivative model with time dependent diffusion coefficient for chloride diffusion in concrete;Yan;J. Build. Eng.,2023

3. Determination of the chloride ion content in concrete under simultaneous chloride and sulphate ion attack;Yu;J. Build. Eng.,2023

4. Link between microstructure and tritiated water diffusivity in mortars: impact of aggregates;Larbi;Cement Concr. Res.,2016

5. Modeling chloride diffusion in concrete effect of ﬂy ash and slag;M D;Cement Concr. Res.,1999

Cited by 1 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. A hybrid machine learning strategy for pitting probability prediction of stainless steels;Materials Today Communications;2024-08

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