Traffic & Transportation Engineering

A Method to Determine Partial Safety Factors for Continuous Rigid Frame Bridges under Wind-Wave Effect

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  • 1.Department of Bridge Engineering,Tongji University,Shanghai 200092,China; 2.China Merchants Chongqing Communications Technology Research and Design Institute Co.,Ltd.,Chongqing 400067,China
陈忆前(1980-),女,博士生,主要从事桥梁结构理论、极端作用组合设计方法研究.

Received date: 2015-10-13

  Revised date: 2016-07-17

  Online published: 2016-11-01

Supported by

Supported by the National Key Technology Research and Development Program of the Ministry of Science and Technology of China(2014BAB16B05)

Abstract

In this paper,the reliable performance and design expression of a cross-sea multi-span continuous rigid frame bridge are investigated under the combined effect of the wind-wave and the adverse effect of the vehicle.Then,based on the stochastic theory,the vehicle,wind and wave actions on the cross-sea continuous rigid frame bridge are simplified as a Poisson process,and are further assumed as a FBC process when the Ferry Borges-Cas- tanheta (FBC) method is adopted.All the wind,wave and vehicle actions are considered to be in extreme cases,and when the wind and wave actions are combined,their correlation is also taken into account.Moreover,the ex- treme nature of the vehicle is reflected in the load layout rather than in the load value.In order to determine the de- sign expression of the cross-sea continuous rigid frame bridge under the extreme wind-wave effect,the Monte-Carlo method,which is simple and mainly dependent on the computer data processing,is adopted to perform a simula- tion.Finally,according to the principle of keeping the sum of the squares of the differences between the structural reliability indexes and the target reliability indexes to a minimum,the optimal design partial safety factor is obtained.

Cite this article

CHEN Yi-qian MA Ru-jin CHEN Ai-rong PENG Wei . A Method to Determine Partial Safety Factors for Continuous Rigid Frame Bridges under Wind-Wave Effect[J]. Journal of South China University of Technology(Natural Science), 2016 , 44(12) : 104 -111,119 . DOI: 10.3969/j.issn.1000-565X.2016.12.015

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