Real‐time hybrid simulation with multi‐fidelity Co‐Kriging for global response prediction under structural uncertainties-Reference-Cited by-同舟云学术

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Real‐time hybrid simulation with multi‐fidelity Co‐Kriging for global response prediction under structural uncertainties

Published:2022-05-31 Issue:11 Volume:51 Page:2591-2609
ISSN:0098-8847
Container-title:Earthquake Engineering & Structural Dynamics
language:en
Short-container-title:Earthq Engng Struct Dyn

Author:

Chen Cheng¹^ORCID,Yang Yanlin²,Hou Hetao²,Peng Changle³,Xu Weijie³

Affiliation:

1. School of Engineering San Francisco State University San Francisco California USA

2. School of Civil Engineering Shandong University Jinan China

3. Key Laboratory of Concrete and Prestressed Concrete Structures Ministry of Education Southeast University Nanjing China

Publisher

Wiley

Subject

Earth and Planetary Sciences (miscellaneous),Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/eqe.3690

Reference61 articles.

1. Development of real-time pseudo dynamic testing

2. Modelling the uncertainty in the response of a base isolator

3. DYNAMIC “FORCE-DISPLACEMENT” RELATIONS OF CANTILEVER TEST PIECE APPLIED BY EARTHQUAKE TYPE EXTERNAL FORCE

4. Hybrid simulation: An early history

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1. Time history response prediction of stochastic SDOF structures through Kriging-NARX modeling and adaptive real-time hybrid simulation;Structures;2024-07

2. A real‐time hybrid simulation framework for reliability‐based design optimization of structures subjected to pulse‐like ground motions;Earthquake Engineering & Structural Dynamics;2024-06-07

3. A Novel Model-Based Adaptive Feedforward-Feedback Control Method for Real-Time Hybrid Simulation considering Additive Error Model;Structural Control and Health Monitoring;2023-12-06

4. Implementation of offline iterative hybrid simulation based on neural networks;Earthquake Engineering and Resilience;2023-12

5. Integrating real‐time hybrid simulation with multi‐fidelity Monte Carlo predictor for seismic fragility assessment;Earthquake Engineering & Structural Dynamics;2023-09-08

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