Machine learning-based model for moment capacity prediction and reliability analysis of PSC beams-Reference-Cited by-同舟云学术

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Machine learning-based model for moment capacity prediction and reliability analysis of PSC beams

Published:2024-04 Issue: Volume:62 Page:106181
ISSN:2352-0124
Container-title:Structures
language:en
Short-container-title:Structures

Author:

Tran Viet-Linh,Thai Duc-Kien^ORCID,Kim Jin-Kook^ORCID

Funder

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Reference64 articles.

1. Theoretical analysis of transfer lengths in pretensioned prestressed concrete members;Byung;J Eng Mech,2006

2. Realistic evaluation of transfer lengths in pretensioned, prestressed concrete members;Byung;Acids Struct J,2000

3. Influence of concrete strength on strand transfer length;Kaar;PCI J,1963

4. Transfer lengths in pretensioned concrete measured using various sensing technologies;Jeon;Int J Concr Struct Mater,2019

5. Nature of bond in pre-tensioned prestressed concrete;Janney;Acids J Proc,1954

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. Probabilistic resistance predictions of laterally restrained cellular steel beams by natural gradient boosting;Thin-Walled Structures;2024-12

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