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Volume 12
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Article

Seismic Fragility Analysis of Mega-Frame with Vibration Control Substructure Based on Dual Surrogate Model and Active Learning

by
Yanjie Xiao
,
Xun’an Zhang
,
Feng Yue
,
Muhammad Moman Shahzad
,
Xinwei Wang
and
Buqiao Fan
*
School of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical University, Xi’an 710072, China
*
Author to whom correspondence should be addressed.
Buildings 2022, 12(6), 752; https://doi.org/10.3390/buildings12060752
Submission received: 14 April 2022 / Revised: 25 May 2022 / Accepted: 30 May 2022 / Published: 1 June 2022
(This article belongs to the Collection Building's Vulnerability Assessment against Natural Hazards by Using Modern Computational Techniques)
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Abstract

Seismic fragility analysis of a mega-frame with vibration control substructure (MFVCS) considering structural uncertainties is computationally expensive. Dual surrogate model (DSM) can be used to improve computational efficiency, whereas the proper selection of design of experiments (DoE) is a difficult work in the DSM-based seismic fragility analysis (DSM-SFA) method. To efficiently assess the seismic fragility with sufficient accuracy, this paper proposes an improved DSM-SFA method based on active learning (AL). In this method, the Kriging model is employed for surrogate modeling to obtain the predicted error of approximation. An AL sampling strategy is presented to update the DoE adaptively, and the refinement of the surrogate models can reduce the error of the probability result computed by the Monte Carlo (MC) simulation. A numerical example was studied to verify the effectiveness and feasibility of the improved procedure. This method was applied to the fragility analysis of an MFVCS and a mega-frame structure (MFS). The finite element models were established using OpenSeesPy and SAP2000 software, respectively, and the correctness of the MFVCS model was verified. The results show that MFVCS is less vulnerable than MFS and has better seismic performance.
Keywords: seismic fragility analysis; dual surrogate model; Kriging model; active learning; mega-frame with vibration control substructure seismic fragility analysis; dual surrogate model; Kriging model; active learning; mega-frame with vibration control substructure

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MDPI and ACS Style

Xiao, Y.; Zhang, X.; Yue, F.; Shahzad, M.M.; Wang, X.; Fan, B. Seismic Fragility Analysis of Mega-Frame with Vibration Control Substructure Based on Dual Surrogate Model and Active Learning. Buildings 2022, 12, 752. https://doi.org/10.3390/buildings12060752

AMA Style

Xiao Y, Zhang X, Yue F, Shahzad MM, Wang X, Fan B. Seismic Fragility Analysis of Mega-Frame with Vibration Control Substructure Based on Dual Surrogate Model and Active Learning. Buildings. 2022; 12(6):752. https://doi.org/10.3390/buildings12060752

Chicago/Turabian Style

Xiao, Yanjie, Xun’an Zhang, Feng Yue, Muhammad Moman Shahzad, Xinwei Wang, and Buqiao Fan. 2022. "Seismic Fragility Analysis of Mega-Frame with Vibration Control Substructure Based on Dual Surrogate Model and Active Learning" Buildings 12, no. 6: 752. https://doi.org/10.3390/buildings12060752

APA Style

Xiao, Y., Zhang, X., Yue, F., Shahzad, M. M., Wang, X., & Fan, B. (2022). Seismic Fragility Analysis of Mega-Frame with Vibration Control Substructure Based on Dual Surrogate Model and Active Learning. Buildings, 12(6), 752. https://doi.org/10.3390/buildings12060752

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