Ultra-high precise Stack-LSTM-CNN model of temperature-induced deflection of a cable-stayed bridge for detecting bridge state driven by monitoring data-Reference-Cited by-同舟云学术

Ultra-high precise Stack-LSTM-CNN model of temperature-induced deflection of a cable-stayed bridge for detecting bridge state driven by monitoring data

Published:2022-11 Issue: Volume:45 Page:110-125
ISSN:2352-0124
Container-title:Structures
language:en
Short-container-title:Structures

Author:

Yue Zixiang,Ding Youliang^ORCID,Zhao Hanwei^ORCID,Wang Zhiwen

Funder

National Natural Science Foundation of China

Jiangsu Province People's Government

Science Fund for Distinguished Young Scholars of Gansu Province

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference49 articles.

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4. Numerical Study on the Collapse of the Morandi Bridge;Malomo;J Perform Constr Facil,2020

5. Inspection and repair of lake maracaibo bridge suspension cables;Oladis;Mater Perform,2001

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