Adaptive Experimental Design of Real-Time Hybrid Simulation for Parameter Calibration of Rate-Dependent Devices toward Optimal Response Prediction-Reference-Cited by-同舟云学术

Adaptive Experimental Design of Real-Time Hybrid Simulation for Parameter Calibration of Rate-Dependent Devices toward Optimal Response Prediction

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:

Peng Changle¹^ORCID,Chen Cheng²^ORCID,Guo Tong³^ORCID,Xu Weijie⁴,Zhang Rui⁵

Affiliation:

1. Graduate Student, School of Civil Engineering, Southeast Univ., Nanjing 211189, China. ORCID: .

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

3. Professor, Key Laboratory of Concrete and Prestressed Concrete Structures, Southeast Univ., Nanjing 211189, China. ORCID: .

4. Assistant Professor, Key Laboratory of Concrete and Prestressed Concrete Structures, Southeast Univ., Nanjing 211189, China.

5. Graduate Student, School of Civil Engineering, Shandong Univ., Jinan 250061, China.

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.0003436

Reference45 articles.

1. Abbiati G. and S. Marelli. 2020. “Sequential experimental design of hybrid simulations for bayesian calibration of computational simulators.” In Proc. 17th World Conf. of Earthquake Engineering. Tokyo: The International Association for Earthquake Engineering.

2. Support vector clustering

3. An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis

4. Analysis of hybrid viscous damper by real time hybrid simulations

5. Development of Direct Integration Algorithms for Structural Dynamics Using Discrete Control Theory

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