Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 전종수 | - |
dc.date.accessioned | 2019-04-01T02:11:46Z | - |
dc.date.available | 2019-04-01T02:11:46Z | - |
dc.date.issued | 2016-11 | - |
dc.identifier.citation | ADVANCES IN STRUCTURAL ENGINEERING, Vol.19, No.11, Page.1797-1812 | en_US |
dc.identifier.issn | 1369-4332 | - |
dc.identifier.issn | 2048-4011 | - |
dc.identifier.uri | https://journals.sagepub.com/doi/abs/10.1177/1369433216649380 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/101356 | - |
dc.description.abstract | In the existing fragility assessment, most bridges are short-span bridges and a few bridges have long spans such as cable-stayed bridges. In this study, a procedure is proposed to conduct the component and system seismic fragility analysis of long-span cable-stayed bridges. Three critical issues are addressed in the procedure: (1) the optimal intensity measure of cable-stayed bridges, (2) limit state models of various components, and (3) contribution of individual components to the entire system failure of bridges. This study chooses a long-span cable-stayed bridge with the most common configuration in China and builds the numerical model of its multiple components using OpenSEES that can account for their nonlinear response and uncertainties in the ground motion and material properties. Four typical intensity measures are compared with respect to four characteristic properties including efficiency, practicality, sufficiency, and proficiency. Peak ground velocity turns out to be the optimal intensity measure. Limit states of pylon sections are derived by a numerical simulation based on pushover analysis and China's guidelines. The pushover results indicate that the limit state of their section curvature depends highly on the section type and axial compression coefficient. A joint probabilistic seismic demand model and Monte Carlo simulation are employed to obtain an accurate system fragility estimate of cable-stayed bridges by accounting for the contribution of each component to the overall bridge system. The system fragility curves based on Monte Carlo simulation lie much closer to the upper bound fragilities given small correlation coefficients, implying that seismic demands of various components conditioned on the peak ground velocity are not correlated. | en_US |
dc.description.sponsorship | The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by State Key Laboratory of Disaster Reduction in Civil Engineering under Grant No. SLDRCE14-B-14; the National Natural Science Foundation of China under Grant Nos 51478339, 51278376, and 91315301; and Science Technology Plan of JiangXi Province under Grant No. 20151BBG70064. The supports are gratefully acknowledged. | en_US |
dc.language.iso | en | en_US |
dc.publisher | MULTI-SCIENCE PUBL CO LTD | en_US |
dc.subject | cable-stayed bridges | en_US |
dc.subject | component and system fragility | en_US |
dc.subject | intensity measure | en_US |
dc.subject | Monte Carlo simulation | en_US |
dc.subject | probabilistic seismic demand model | en_US |
dc.title | Seismic fragility assessment of long-span cable-stayed bridges in China | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1177/1369433216649380 | - |
dc.relation.journal | ADVANCES IN STRUCTURAL ENGINEERING | - |
dc.contributor.googleauthor | Zhong, Jian | - |
dc.contributor.googleauthor | Pang, Yutao | - |
dc.contributor.googleauthor | Jeon, Jong-Su | - |
dc.contributor.googleauthor | DesRoches, Reginald | - |
dc.contributor.googleauthor | Yuan, Wancheng | - |
dc.relation.code | 2016006114 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING | - |
dc.identifier.pid | jongsujeon | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.