Technical Papers
Dec 5, 2022

A Response Spectrum Method for Base-Isolated Structures with Equivalent Base Excitations

Publication: Journal of Structural Engineering
Volume 149, Issue 2

Abstract

Base isolation is an effective seismic design strategy that has received considerable attention in recent decades. This research is dedicated to developing a response spectrum method (RSM) for analysis of base-isolated structures under seismic excitation. A novel analytical model consisting of a linear superstructure under equivalent base excitations is proposed in the present study. To determine the response spectra corresponding to the base excitations, termed as the base response spectra, a sufficient number of samples of base excitations comprising base responses need to be obtained through time-history analysis of the nonlinear base-isolated structure in conjunction with the Monte Carlo simulation (MCS). To improve the efficiency for each sample analysis, the recently proposed explicit time-domain method (ETDM) is utilized for fast analysis of the base acceleration and velocity responses with a dimension-reduced iteration scheme. Once the base response spectra are obtained, the mean peak values (MPVs) of structural responses of the linear superstructure can be conveniently evaluated through the complete quadratic combination (CQC) rule. A 4-story nonlinear base-isolated frame structure was analyzed to validate the effectiveness of the proposed analytical model and the feasibility of the present approach for seismic response analysis of nonlinear base-isolated structures.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

The research is funded by the National Natural Science Foundation of China (51678252 and 52178479) and the Guangdong Provincial Key Laboratory of Modern Civil Engineering Technology (2021B1212040003).

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Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 149Issue 2February 2023

History

Received: Feb 9, 2022
Accepted: Jul 20, 2022
Published online: Dec 5, 2022
Published in print: Feb 1, 2023
Discussion open until: May 5, 2023

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Ph.D. Student, School of Civil Engineering and Transportation, South China Univ. of Technology, 381 Wushan Rd., Tianhe, Guangzhou 510640, China. ORCID: https://orcid.org/0000-0002-8153-4295. Email: [email protected]
Professor, State Key Laboratory of Subtropical Building Science, School of Civil Engineering and Transportation, South China Univ. of Technology, 381 Wushan Rd., Tianhe, Guangzhou 510640, China; Professor, Guangdong Artificial Intelligence and Digital Economy Laboratory, 70 Yuean Rd., Haizhu, Guangzhou 510335, China (corresponding author). ORCID: https://orcid.org/0000-0002-5248-169X. Email: [email protected]
Ph.D. Researcher, School of Civil Engineering and Transportation, South China Univ. of Technology, 381 Wushan Rd., Tianhe, Guangzhou 510640, China. ORCID: https://orcid.org/0000-0003-0653-441X. Email: [email protected]

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