Deep Learning-Based Minute-Scale Digital Prediction Model of Temperature-Induced Deflection of a Cable-Stayed Bridge: Case Study

Author:

Yue Zi-xiang1,Ding You-liang2ORCID,Zhao Han-wei3ORCID

Affiliation:

1. Ph.D. Student, School of Civil Engineering, Key Laboratory of C&PC Structures of the Ministry of Education, Southeast Univ., Nanjing 210096, China.

2. Professor, Key Laboratory of C&PC Structures of the Ministry of Education, Southeast Univ., Nanjing 210096, China (corresponding author). ORCID: .

3. Assistant Professor, Key Laboratory of C&PC Structures of the Ministry of Education, Southeast Univ., Nanjing 210096, China. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Building and Construction,Civil and Structural Engineering

Reference39 articles.

1. Thermal comfort prediction using normalized skin temperature in a uniform built environment;Chaudhuri T.;Energy Build.,2018

2. Elimination of environmental temperature effect from the variation of stay cable force based on simple temperature measurements;Chen C. C.;Smart Struct. Syst.,2017

3. Study on correlations of modal frequencies and environmental factors for a suspension bridge based on improved neural networks;Ding Y. L.;Sci. China,2010

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