Real-Time Hybrid Simulation with Polynomial Chaos NARX Modeling for Seismic Response Evaluation of Structures Subjected to Stochastic Ground Motions-Reference-Cited by-同舟云学术

Real-Time Hybrid Simulation with Polynomial Chaos NARX Modeling for Seismic Response Evaluation of Structures Subjected to Stochastic Ground Motions

Published:2022-09 Issue:9 Volume:148 Page:
ISSN:0733-9445
Container-title:Journal of Structural Engineering
language:en
Short-container-title:J. Struct. Eng.

Author:

Gao Xiaoshu¹^ORCID,Chen Menghui²,Chen Cheng³^ORCID,Guo Tong⁴,Xu Weijie⁵,Cornejo Karlel⁶

Affiliation:

1. Graduate Student, School of Civil Engineering, Shandong Univ., Jinan 250061, China. ORCID: .

2. Graduate Student, Key Laboratory of Concrete and Prestressed Concrete Structures, Ministry of Education, Southeast Univ., Nanjing 210096, China.

3. Professor, School of Engineering, San Francisco State Univ., San Francisco, CA 94132 (corresponding author). ORCID: .

4. Professor, Key Laboratory of Concrete and Prestressed Concrete Structures, Ministry of Education, Southeast Univ., Nanjing 210096, China.

5. Assistant Professor, Key Laboratory of Concrete and Prestressed Concrete Structures, Ministry of Education, Southeast Univ., Nanjing 210096, China.

6. Graduate Student, School of Engineering, San Francisco State Univ., San Francisco, CA 94132.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29ST.1943-541X.0003451

Reference60 articles.

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4. Information Theory and Neural Networks for Managing Uncertainty in Flood Routing

5. Communication Development and Verification for Python-Based Machine Learning Models for Real-Time Hybrid Simulation

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