斜拉桥索应力概率模型及可靠性分析

IF 0.6 4区 工程技术 Q4 ENGINEERING, CIVIL Baltic Journal of Road and Bridge Engineering Pub Date : 2017-12-13 DOI:10.3846/BJRBE.2017.31
Xiao-Yan Yang, Jinxin Gong, Yin-hui Wang, Bo-Han Xu, Jichao Zhu
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摘要

本文的目的是研究大跨度斜拉桥斜拉桥斜拉索在车辆荷载作用下的时变效应。对目前世界上已建成的组合桥面斜拉桥中跨度第二大的江苏苏通斜拉桥进行了分析。基于随机过程理论,建立了随机车辆荷载作用下各车道(快车道、中车道和慢车道)车辆荷载和索应力的概率模型。结果表明,车辆总重服从对数正态分布或多峰分布,车辆时间间隔服从对数正态分布。然后,利用上交叉理论确定了索最大应力的概率函数。最后,对随机车辆荷载作用下斜拉索的可靠性进行了分析。可靠度指标范围为9.59 ~ 10.82,满足公路桥梁结构终死状态的目标可靠度指标。
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Probability Model and Reliability Analysis of Cable Stress for Cable-Stayed Bridge
The aim of this paper is to investigate the time-varying effect of stay cable of long-span cable-stayed bridges subject to vehicle load. The analysis has been carried out on the Su-Tong cable-stayed bridge in Jiangsu, China that has the second-longest span among the completed composite-deck cable-stayed bridges in the world currently. Probability models of vehicle load in each lane (fast lane, middle lane and slow lane) and cable stress under random vehicle load were developed based on the stochastic process theory. The results show the gross vehicle weight follows lognormal distribution or multi-peak distribution, and the time-interval of the vehicle follows a lognormal distribution. Then, the probability function of maximum cable stress was determined using up-crossing theory. Finally, the reliability of stay cable under random vehicle load was analysed. The reliability index ranges from 9.59 to 10.82 that satisfies the target reliability index of highway bridge structure of finished dead state.
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来源期刊
Baltic Journal of Road and Bridge Engineering
Baltic Journal of Road and Bridge Engineering 工程技术-工程:土木
CiteScore
2.10
自引率
9.10%
发文量
25
审稿时长
>12 weeks
期刊介绍: THE JOURNAL IS DESIGNED FOR PUBLISHING PAPERS CONCERNING THE FOLLOWING AREAS OF RESEARCH: road and bridge research and design, road construction materials and technologies, bridge construction materials and technologies, road and bridge repair, road and bridge maintenance, traffic safety, road and bridge information technologies, environmental issues, road climatology, low-volume roads, normative documentation, quality management and assurance, road infrastructure and its assessment, asset management, road and bridge construction financing, specialist pre-service and in-service training;
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