Effectiveness Assessment of TMDs in Bridges under Strong Winds Incorporating Machine-Learning Techniques-Reference-Cited by-同舟云学术

Effectiveness Assessment of TMDs in Bridges under Strong Winds Incorporating Machine-Learning Techniques

Published:2022-10 Issue:5 Volume:36 Page:
ISSN:0887-3828
Container-title:Journal of Performance of Constructed Facilities
language:en
Short-container-title:J. Perform. Constr. Facil.

Author:

Sun Zhen¹^ORCID,Feng De-Cheng²^ORCID,Mangalathu Sujith³^ORCID,Wang Wen-Jie⁴,Su Di⁵^ORCID

Affiliation:

1. Research Engineer, Jiangsu Transportation Institute, Nanjing 211112, China; Postdoctoral Researcher, Construct-ViBest, Dept. of Civil Engineering, Faculty of Engineering (FEUP), Univ. of Porto, R. Dr. Roberto Frias, Porto 4200-465, Portugal. ORCID: .

2. Associate Professor, Key Laboratory of Concrete and Prestressed Concrete Structures of the Ministry of Education, Southeast Univ., Nanjing 211189, China (corresponding author). ORCID: .

3. Research Scientist, Mangalathu, Mylamkulam, Puthoor P O, Kollam, Kerala 691507, India. ORCID: .

4. Graduate Student, School of Civil Engineering, Southeast Univ., Nanjing 211189, China.

5. Associate Professor, Dept. of Civil Engineering, Univ. of Tokyo, Tokyo 113-8656, Japan. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CF.1943-5509.0001746

Reference43 articles.

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3. Connor, J. J. 2002. Introduction to structural motion control. Upper Saddle River, NJ: Prentice Hall.

4. Den Hartog, J. 1956. Mechanical vibrations. New York: McGraw-Hill.

5. Stochastic Response Assessment of Cross-Sea Bridges under Correlated Wind and Waves via Machine Learning

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