Machine learning-based probabilistic prediction model for chloride concentration in the interfacial zone of precast and cast-in-place concrete structures

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Yang, Yiming;Chen, Huan;Peng, Jianxin;Dong, You

通讯作者：

Peng, JX

作者机构：

[Chen, Huan; Yang, Yiming] Hunan City Univ, Sch Civil Engn, Yiyang 413000, Hunan, Peoples R China.

[Yang, Yiming] Hunan City Univ, Hunan Engn Res Ctr Dev & Applicat Ceramsite Concre, Yiyang 413000, Peoples R China.

[Peng, Jianxin] Changsha Univ Sci & Technol, Sch Civil Engn, Changsha 410114, Hunan, Peoples R China.

[Dong, You] Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hong Kong 999077, Peoples R China.

通讯机构：

[Peng, JX ] C

Changsha Univ Sci & Technol, Sch Civil Engn, Changsha 410114, Hunan, Peoples R China.

语种：

英文

关键词：

Concrete interfacial zone;Chloride concentration;Probabilistic prediction;Machine learning;Uncertainty

期刊：

Structures

ISSN：

2352-0124

年：

2025

卷：

页码：

108224

DOI：

10.1016/j.istruc.2025.108224

基金类别：

National Natural Science Founda-tion of China [52208166, 52378125, 52078056]; Science and Technology Innovation Program of Hunan Province [2022RC1186]; Research Foundation of Education Bureau of Hunan Province [24A0580]; Open Fund of Key Laboratory of Safety Control of Bridge Engineering, Ministry of Education (Changsha University of Science and Technology) [21KB03]; Aid program for Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Province

机构署名：

本校为第一机构

院系归属：

土木工程学院

摘要：

Reasonable prediction of chloride concentration in the interfacial zone of precast and cast-in-place concrete structures is crucial for assessing the durability of such structures. In this paper, the machine learning-based deterministic model is first proposed to predict the chloride concentration in the interfacial zone using seven machine learning methods. Then, an uncertainty prediction model of chloride concentration in the interfacial zone is developed considering the aleatory uncertainty of input parameters and epistemic uncertainty of model itself. Finally, the effectiveness of the prop...

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Machine learning-based probabilistic prediction model for chloride concentration in the interfacial zone of precast and cast-in-place concrete structures

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