• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Song, Guangsong (Song, Guangsong.) | Jiang, Hui (Jiang, Hui.) | Bai, Xiaoyu (Bai, Xiaoyu.) | Li, Chen (Li, Chen.) | Zeng, Cong (Zeng, Cong.)

Indexed by:

EI Scopus SCIE

Abstract:

Seismic fragility analysis is a common tool to reveal damage progression and assess structural safety. However, the existing fragility analysis methodologies for sea-crossing bridges (SCBs) cannot effectively balance accuracy and computational efficiency. The damage characteristics of SCBs under the multi-hazards of earthquake, wind, and wave remain unclear. In this paper, a novel nonparametric seismic fragility analysis methodology, named NPCM, was developed. This technique employs log-transformed Kernel Density Estimation (log-TKDE) to model the marginal cumulative distributions (MCDs) of structural responses and the intensity measure (IM) of ground motions. Thereafter, it establishes the joint probability distribution (JPD) and solves the structural fragility curves using the nonparametric copula. Taking a 5-span sea-crossing cable-stayed bridge (SCCSB) as a case study, the reliability and accuracy of the NPCM were comprehensively confirmed from various perspectives. Factoring in the stochastic nature of disasters and the interconnectedness of wind and waves in the ocean environment, the fragility analysis of the SCCSB was investigated. The structural damage behavior and anti-disaster performance subjected to earthquake and extreme correlated wind-wave excitations were discussed. The results demonstrate that log-TKDE is effective in obtaining more accurate MCDs than the Generalized Pareto Distribution (GPD) and the Generalized Extreme Value (GEV) distribution. The nonparametric copula can provide a more authentic portrayal of the intricate interdependences between IM and the responses of the SCCSB and is more suitable for their bivariate JPD modeling than parametric copulas. For the same Bootstrap sample database, NPCM exhibits a narrower confidence interval and a smoother curve than Monte Carlo simulation (MCS), indicating that NPCM has satisfactory credibility and superior computational efficiency. Under earthquake-wind-wave excitations, the damage probability of the bearing is significantly higher than that of the tower and pier. There is only slight damage to the tower and moderate damage to the pier, peaking at 6.07% and 1.00%, respectively. The foundation components exhibit gratifying anti-disaster qualities, and the overall structural design is reliable.

Keyword:

Sea-crossing bridge Nonparametric copula Nonparametric seismic fragility analysis methodology Multi-hazard action

Author Community:

  • [ 1 ] [Song, Guangsong]Beijing Jiaotong Univ, Sch Civil Engn, Beijing 100044, Peoples R China
  • [ 2 ] [Jiang, Hui]Beijing Jiaotong Univ, Sch Civil Engn, Beijing 100044, Peoples R China
  • [ 3 ] [Li, Chen]Beijing Jiaotong Univ, Sch Civil Engn, Beijing 100044, Peoples R China
  • [ 4 ] [Song, Guangsong]Beijing Engn & Technol Res Ctr Rail Transit Line S, Beijing 100044, Peoples R China
  • [ 5 ] [Jiang, Hui]Beijing Engn & Technol Res Ctr Rail Transit Line S, Beijing 100044, Peoples R China
  • [ 6 ] [Li, Chen]Beijing Engn & Technol Res Ctr Rail Transit Line S, Beijing 100044, Peoples R China
  • [ 7 ] [Bai, Xiaoyu]CCCC Highway Bridges Natl Engn Res Ctr CO Ltd, Beijing 100088, Peoples R China
  • [ 8 ] [Bai, Xiaoyu]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, Minist Educ, Beijing 100124, Peoples R China
  • [ 9 ] [Zeng, Cong]East China Jiaotong Univ, Sch Civil Engn & Architecture, Nanchang 330013, Peoples R China

Reprint Author's Address:

  • [Jiang, Hui]Beijing Jiaotong Univ, Sch Civil Engn, Beijing 100044, Peoples R China

Show more details

Related Keywords:

Source :

OCEAN ENGINEERING

ISSN: 0029-8018

Year: 2025

Volume: 316

5 . 0 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

Affiliated Colleges:

Online/Total:263/10626175
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.