A machine learning approach for identifying vertical temperature gradient in steel-concrete composite beam under solar radiation-Reference-Cited by-同舟云学术

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A machine learning approach for identifying vertical temperature gradient in steel-concrete composite beam under solar radiation

Published:2024-10 Issue: Volume:196 Page:103695
ISSN:0965-9978
Container-title:Advances in Engineering Software
language:en
Short-container-title:Advances in Engineering Software

Author:

Chu Yonghao^ORCID,Zhang Yuping,Li Siyang,Ma Yugang,Yang Shengjiang

Publisher

Elsevier BV

Reference62 articles.

1. Service life prediction and time-variant reliability of reinforced concrete structures in harsh marine environment considering multiple factors: a case study for Qingdao Bay Bridge;Chen;Eng Fail Anal,2023

2. Life-cycle maintenance strategy of bridges considering reliability, environment, cost and failure probability CO2 emission reduction: a bridge study with climate scenarios;Liu;J Clean Prod,2022

3. Fine analysis for non-uniform temperature field and effect of railway truss suspension bridge under solar radiation;Zhu;J Constr Steel Res,2023

4. Structural damage identification of steel-concrete composite bridge under temperature effects based on cuckoo search;Huang;Int J Lifecy Perform Eng,2019

5. Global temperature behavior monitoring and analysis of a three-tower cable-stayed bridge;Li;Eng Struct,2023

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