التفاصيل البيبلوغرافية
| العنوان: |
Effects of long-period processing on structural collapse predictions |
| المؤلفون: |
Buyco, Kenny, Roh, Becky, Heaton, Thomas H. |
| المصدر: |
Earthquake Spectra, 37(1), 204-234, (2021-02) |
| بيانات النشر: |
Earthquake Engineering Research Institute |
| سنة النشر: |
2021 |
| المجموعة: |
Caltech Authors (California Institute of Technology) |
| مصطلحات موضوعية: |
Collapse, engineering seismology, strong-motion records, ground motion processing, steel moment-frame |
| الوصف: |
We investigate the extent to which applying high-pass filters to ground motion records affects the collapse capacity of building models. We consider 26 ground motion records from seven large earthquakes and high-pass filter them with corner periods, T_c, ranging from 10 to 60 s. We perform incremental dynamic analysis on 9-, 20-, and 55-story steel moment-frame building models with fundamental periods of 1.88, 3.50, and 6.10 seconds, respectively. Even though filters with T_c ⩾ 20s have a minimal effect on the collapse capacities of the building models, we find that for a few motions, collapse capacities can increase by more than 50%, if T_c = 10 or 15 s, even for the 9-story models. We find that the collapse capacities with respect to raw, uncorrected records are generally similar to those of the tilt-corrected versions, indicating that removing long-period noise with high-pass filters can make collapse predictions less accurate, if T_c  < 20 s. ; © 2020 The Author(s). Article first published online: July 7, 2020; Issue published: February 1, 2021. Received: April 23, 2020; Accepted: April 30, 2020. The authors thank the anonymous reviewers, whose feedback greatly improved the quality of this paper. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE-1144469. The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. ; Published - 8755293020936699.pdf |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
unknown |
| Relation: |
https://doi.org/10.1177/8755293020936699; eprintid:108304 |
| DOI: |
10.1177/8755293020936699 |
| الاتاحة: |
https://doi.org/10.1177/8755293020936699 |
| Rights: |
info:eu-repo/semantics/openAccess ; Other |
| رقم الانضمام: |
edsbas.5933FD31 |
| قاعدة البيانات: |
BASE |