Quantitatively Determining the High‐Pass Filter Cutoff Period of Ground Motions

切断 句号(音乐) 截止频率 滤波器(信号处理) 地质学 数学 大地测量学 物理 声学 光学 工程类 电气工程 量子力学
作者
Longjun Xu,Guochen Zhao,Paolo Gardoni,Lili Xie
出处
期刊:Bulletin of the Seismological Society of America [Seismological Society of America]
卷期号:108 (2): 857-865 被引量:4
标识
DOI:10.1785/0120170074
摘要

Research Article| January 23, 2018 Quantitatively Determining the High‐Pass Filter Cutoff Period of Ground Motions Longjun Xu; Longjun Xu aDepartment of Civil Engineering, Harbin Institute of Technology at Weihai, Weihai 264209, China, xulongjun80@163.com, llxie@iem.ac.cn Search for other works by this author on: GSW Google Scholar Guochen Zhao; Guochen Zhao bSchool of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China, zgc011@126.com Search for other works by this author on: GSW Google Scholar Paolo Gardoni; Paolo Gardoni cDepartment of Civil and Environmental Engineering, University of Illinois at Urbana–Champaign, Urbana, Illinois 61801, gardoni@illinois.edu Search for other works by this author on: GSW Google Scholar Lili Xie Lili Xie aDepartment of Civil Engineering, Harbin Institute of Technology at Weihai, Weihai 264209, China, xulongjun80@163.com, llxie@iem.ac.cn Search for other works by this author on: GSW Google Scholar Author and Article Information Longjun Xu aDepartment of Civil Engineering, Harbin Institute of Technology at Weihai, Weihai 264209, China, xulongjun80@163.com, llxie@iem.ac.cn Guochen Zhao bSchool of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China, zgc011@126.com Paolo Gardoni cDepartment of Civil and Environmental Engineering, University of Illinois at Urbana–Champaign, Urbana, Illinois 61801, gardoni@illinois.edu Lili Xie aDepartment of Civil Engineering, Harbin Institute of Technology at Weihai, Weihai 264209, China, xulongjun80@163.com, llxie@iem.ac.cn Publisher: Seismological Society of America First Online: 23 Jan 2018 Online Issn: 1943-3573 Print Issn: 0037-1106 © Seismological Society of America Bulletin of the Seismological Society of America (2018) 108 (2): 857–865. https://doi.org/10.1785/0120170074 Article history First Online: 23 Jan 2018 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Longjun Xu, Guochen Zhao, Paolo Gardoni, Lili Xie; Quantitatively Determining the High‐Pass Filter Cutoff Period of Ground Motions. Bulletin of the Seismological Society of America 2018;; 108 (2): 857–865. doi: https://doi.org/10.1785/0120170074 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyBulletin of the Seismological Society of America Search Advanced Search Abstract High‐pass filtering is often used to remove long‐period noise of ground motions and obtain reliable spectral displacements at long periods. In previous studies, the filter cutoff period was often determined by visual inspection to ensure that the velocity and displacement time histories of the filtered ground motion have physically reasonable features. As a consequence, the effects of subjectivity were significant. For this, a quantitative method to determine the high‐pass filter cutoff period is presented in this article. The approach uses the wavelet multiresolution analysis to obtain the representation of the long‐period contents of ground motions. The ratio (⁠r⁠) of the peak ground acceleration of the equivalent long‐period contents obtained by the wavelet multiresolution analysis to the peak ground acceleration of the corresponding original ground motion is used as the quantitative parameter. The analysis results indicate that removing the long‐period contents with r=4‰ can yield reasonable time histories and response spectra. Furthermore, the comparison between the cutoff periods calculated by the quantitative method and those provided by the Next Generation Attenuation (NGA) West2 research project is presented. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

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