Investigation and Experimental Validation of Kriging-NARX Modeling for Real-Time Hybrid Simulation: Fid-Bau Portal

Fachinformationsdienst BAUdigital

Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik

Investigation and Experimental Validation of Kriging-NARX Modeling for Real-Time Hybrid Simulation

Chen, Menghui / Gao, Xiaoshu / Chen, Cheng / Guo, Tong / Xu, Weijie

This study proposes the use of nonlinear autoregressive with exogenous input (NARX) to emulate dynamic behavior of analytical substructures in real-time hybrid simulation (RTHS). The training of the NARX model can be conducted numerically, and its implementation presents a good representation of structural dynamics with minimum computational demands on the RTHS equipment. A Kriging metamodel is further introduced to surrogate the NARX model coefficients to account for ground motion uncertainties. RTHS of a single-degree-of-freedom (SDOF) structure with a self-centering viscous damper are conducted as proof of concept to experimentally demonstrate the effectiveness of proposed Kriging-NARX metamodeling approach.

Zugriff

Zugriff prüfen

Verfügbarkeit in meiner Bibliothek prüfen

Bestellung bei Subito €

Seitennavigation

Dokumentinformationen

Ähnliche Titel

Exportieren, teilen und zitieren

Investigation and Experimental Validation of Kriging-NARX Modeling for Real-Time Hybrid Simulation

Chen, Menghui / Gao, Xiaoshu / Chen, Cheng / Guo, Tong / Xu, Weijie

This study proposes the use of nonlinear autoregressive with exogenous input (NARX) to emulate dynamic behavior of analytical substructures in real-time hybrid simulation (RTHS). The training of the NARX model can be conducted numerically, and its implementation presents a good representation of structural dynamics with minimum computational demands on the RTHS equipment. A Kriging metamodel is further introduced to surrogate the NARX model coefficients to account for ground motion uncertainties. RTHS of a single-degree-of-freedom (SDOF) structure with a self-centering viscous damper are conducted as proof of concept to experimentally demonstrate the effectiveness of proposed Kriging-NARX metamodeling approach.

Investigation and Experimental Validation of Kriging-NARX Modeling for Real-Time Hybrid Simulation

Chen, Menghui / Gao, Xiaoshu / Chen, Cheng / Guo, Tong / Xu, Weijie

This study proposes the use of nonlinear autoregressive with exogenous input (NARX) to emulate dynamic behavior of analytical substructures in real-time hybrid simulation (RTHS). The training of the NARX model can be conducted numerically, and its implementation presents a good representation of structural dynamics with minimum computational demands on the RTHS equipment. A Kriging metamodel is further introduced to surrogate the NARX model coefficients to account for ground motion uncertainties. RTHS of a single-degree-of-freedom (SDOF) structure with a self-centering viscous damper are conducted as proof of concept to experimentally demonstrate the effectiveness of proposed Kriging-NARX metamodeling approach.

Zugriff

Zugriff prüfen

Verfügbarkeit in meiner Bibliothek prüfen

Bestellung bei Subito €

Seitennavigation

Dokumentinformationen

Ähnliche Titel

Exportieren, teilen und zitieren

Dokumentinformationen

Titel:

Investigation and Experimental Validation of Kriging-NARX Modeling for Real-Time Hybrid Simulation

Beteiligte:

Chen, Menghui (Autor:in) / Gao, Xiaoshu (Autor:in) / Chen, Cheng (Autor:in) / Guo, Tong (Autor:in) / Xu, Weijie (Autor:in)

Erschienen in:

Journal of Earthquake Engineering ; 27 ; 3391-3412

Erscheinungsdatum:

10.09.2023

Format / Umfang:

22 pages

ISSN:

1363-2469 , 1559-808X

DOI:

https://doi.org/10.1080/13632469.2022.2134945

Medientyp:

Aufsatz (Zeitschrift)

Format:

Elektronische Ressource

Sprache:

Unbekannt

Schlagwörter:

Real-time hybrid simulation , uncertainty , nonlinear autoregressive with exogenous input , Kriging , surrogate model , structural dynamics

Ähnliche Titel

A Kriging–NARX Model for Uncertainty Quantification of Nonlinear Stochastic Dynamical Systems in Time Domain

Bhattacharyya, Biswarup / Jacquelin, Eric / Brizard, Denis | ASCE | 2020

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

Gao, Xiaoshu / Chen, Menghui / Chen, Cheng et al. | ASCE | 2022

Evaluation of data-driven NARX model based compensation for multi-axial real-time hybrid simulation benchmark study

Weijie Xu / Xiangjin Meng / Cheng Chen et al. | DOAJ | 2024

Freier Zugriff

Experimental evaluation of CV‐Voronoi based adaptive sampling for Kriging meta‐modeling of multiple responses through real‐time hybrid simulation

Yu, Guangquan / Chen, Cheng / Hou, Hetao et al. | Wiley | 2022

Experimental evaluation of CV‐Voronoi based adaptive sampling for Kriging meta‐modeling of multiple responses through real‐time hybrid simulation

Yu, Guangquan / Chen, Cheng / Hou, Hetao et al. | Wiley | 2022