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Author:

Liu, Zheng (Liu, Zheng.) | Zhao, Yan-Gang (Zhao, Yan-Gang.) | Zhang, Haizhong (Zhang, Haizhong.)

Indexed by:

EI Scopus SCIE

Abstract:

The velocity response spectrum (SV) plays an important role in the seismic design of structures that incorporate supplementary velocity-dependent dampers, which can be approximated by the pseudo-velocity response spectrum converted from the acceleration response spectrum (SA). However, the error of this approximation is significant for short and long periods. This paper aims to develop a model for transforming the SA into the SV. To systematically explore the relationship between SA and SV and find the parameters affecting it, a theoretical SA-SV relationship is derived based on random vibration theory. Accordingly, statistical analyses using a large number of ground motion records were conducted to establish a simple model for transforming the SA to the SV. The results of the proposed model are found to agree very well with those obtained from actual seismic motion records. This study promotes the accurate conversion from SA to SV and is particularly useful for the seismic design of structures equipped with velocity-dependent dampers.

Keyword:

Acceleration response spectrum Random vibration theory Pseudo-velocity response spectrum Velocity response spectrum

Author Community:

  • [ 1 ] [Liu, Zheng]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, Minist Educ, Beijing 100124, Peoples R China
  • [ 2 ] [Zhao, Yan-Gang]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, Minist Educ, Beijing 100124, Peoples R China
  • [ 3 ] [Zhang, Haizhong]Yamagata Univ, Fac Agr, 1-23 Wakaba Machi, Tsuruoka, Yamagata 9978555, Japan

Reprint Author's Address:

  • [Zhang, Haizhong]Yamagata Univ, Fac Agr, 1-23 Wakaba Machi, Tsuruoka, Yamagata 9978555, Japan;;

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Source :

MECHANICAL SYSTEMS AND SIGNAL PROCESSING

ISSN: 0888-3270

Year: 2024

Volume: 223

8 . 4 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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