Earthquakes and Structures

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Impact of target spectra variance of selected ground motions on seismic response of structures

  • Xu, Liuyun (Department of Disaster Mitigation for Structures, College of Civil Engineering, Tongji University) ;
  • Zhou, Zhiguang (Department of Disaster Mitigation for Structures, College of Civil Engineering, Tongji University)
  • Received : 2020.08.03
  • Accepted : 2022.07.24
  • Published : 2022.08.25
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Abstract

One common method to select input ground motions to predict dynamic behavior of structures subjected to seismic excitation requires spectral acceleration (Sa) match target mean response spectrum. However, dispersion of ground motions, which explicitly affects the structural response, is rarely discussed in this method. Generally, selecting ground motions matching target mean and variance has been utilized as an appropriate method to predict reliable seismic response. The goal of this paper is to investigate the impact of target spectra variance of ground motions on structural seismic response. Two sets of ground motions with different target variances (zero variance and minimum variance larger than inherent variance of the target spectrum) are selected as input to two different structures. Structural responses at different heights are compared, in terms of peak, mean and dispersion. Results show that increase of target spectra variance tends to increase peak floor acceleration, peak deformation and dispersions of response of interest remarkably. To short-period structures, dispersion increase ratios of seismic response are close to that of Sa of input ground motions at the first period. To long-period structures, dispersions of floor acceleration and floor response spectra increase more significantly at the bottom, while dispersion increase ratios of IDR and deformation are close to that of Sa of input ground motions at the first period. This study could further provide useful information on selecting appropriate ground motion to predict seismic behavior of different types of structures.

Keywords

Acknowledgement

Financial support from National Key Research and Development Program of China (2020YFB1901402) and National Natural Science Foundation of China under Grant 51778491 are highly appreciated.

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