A Frequency-Based Ground Motion Clustering Approach for Data-Driven Surrogate Modeling of Bridges-Reference-Cited by-同舟云学术

A Frequency-Based Ground Motion Clustering Approach for Data-Driven Surrogate Modeling of Bridges

Published:2023-09 Issue:9 Volume:149 Page:
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Liao Yuchen¹^ORCID,Zhang Ruiyang²^ORCID,Wu Gang³,Sun Hao⁴

Affiliation:

1. Ph.D. Candidate, Key Laboratory of Concrete and Prestressed Concrete Structures of the Ministry of Education, Southeast Univ., Nanjing 211189, China. ORCID: .

2. Associate Professor, Key Laboratory of Concrete and Prestressed Concrete Structures of the Ministry of Education, National and Local Joint Engineering Research Center for Intelligent Construction and Maintenance, School of Civil Engineering, Southeast Univ., Nanjing 211189, China (corresponding author). ORCID: .

3. Professor, Key Laboratory of Concrete and Prestressed Concrete Structures of the Ministry of Education, National and Local Joint Engineering Research Center for Intelligent Construction and Maintenance, School of Civil Engineering, Southeast Univ., Nanjing 211189, China.

4. Associate Professor with Tenure, Gaoling School of Artificial Intelligence, Renmin Univ. of China, Beijing 100872, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Link

https://ascelibrary.org/doi/pdf/10.1061/JENMDT.EMENG-6812

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5. Pearson Correlation Coefficient

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