Seismic fragility analysis of LRB-isolated bridges considering the uncertainty of regional temperatures using BP neural networks

doi:10.1016/j.istruc.2022.08.035

IR > 土木工程学院

	Seismic fragility analysis of LRB-isolated bridges considering the uncertainty of regional temperatures using BP neural networks
	Shi, Yan1 ; Xiong, Lijun 1; Qin, Hongguo 1; Han, Jianping1 ; Sun, Zhiguo 2
	2022-10
发表期刊	STRUCTURES
ISSN	2352-0124
卷号	44 页码:566-578
摘要	Lead rubber bearings (LRBs) have been widely used as seismic isolators for bridges, owing to their outstanding working performance and wide applicability. However, the mechanical behavior of the main constituents of LRBs (rubber and lead) is sensitive to temperature variations. The objective of this study is to investigate the influence of regional temperature uncertainty on the seismic fragility of LRB-isolated bridges by combining joint seismic fragility and a (back propagation) BP neural network. In this study, a typical continuous beam bridge that is seismically isolated and uses LRBs is assumed to be located in three regions at different latitudes in China. Using the finite elements models of the bridge and incorporating the thermal-mechanical behavior of LRBs, concrete, and steel at different temperatures, the seismic responses of the piers and the bearings are derived by nonlinear dynamic analysis that is used to develop the statistical relationship between the regional temperature and the bridge's seismic demand via a BP neural network. Then, the well-trained networks are applied to predict the seismic responses of the piers and the bearings at different temperatures in the three selected regions. Finally, the joint seismic fragility methodology is used to establish and compare the seismic fragility at component level and that at bridge system level in the considered regions. Analysis results show that regional temperature variations may have a notable effect on the component-level fragility as well as the bridge-level fragility.
关键词	Isolated bridge Lead rubber bearings (LRBs) Regional temperature variation BP neural network Seismic fragility
DOI	10.1016/j.istruc.2022.08.035
收录类别	SCIE
语种	英语
WOS研究方向	Engineering
WOS类目	Engineering, Civil
WOS记录号	WOS:000848548800003
出版者	ELSEVIER SCIENCE INC
来源库	WOS
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/159837
专题	土木工程学院教务处（创新创业学院）
通讯作者	Han, Jianping
作者单位	1.Lanzhou Univ Technol, Sch Civil Engn, Lanzhou 730000, Peoples R China; 2.China Earthquake Adm, Inst Disaster Prevent, Key Lab Bldg Collapse Mech & Disaster Prevent, Beijing 101601, Peoples R China
第一作者单位	兰州理工大学
通讯作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Shi, Yan,Xiong, Lijun,Qin, Hongguo,et al. Seismic fragility analysis of LRB-isolated bridges considering the uncertainty of regional temperatures using BP neural networks[J]. STRUCTURES,2022,44:566-578.
APA	Shi, Yan,Xiong, Lijun,Qin, Hongguo,Han, Jianping,&Sun, Zhiguo.(2022).Seismic fragility analysis of LRB-isolated bridges considering the uncertainty of regional temperatures using BP neural networks.STRUCTURES,44,566-578.
MLA	Shi, Yan,et al."Seismic fragility analysis of LRB-isolated bridges considering the uncertainty of regional temperatures using BP neural networks".STRUCTURES 44(2022):566-578.