contributor author | Huile Li | |
contributor author | Dan M. Frangopol | |
contributor author | Mohamed Soliman | |
contributor author | He Xia | |
date accessioned | 2017-05-08T22:30:04Z | |
date available | 2017-05-08T22:30:04Z | |
date copyright | March 2016 | |
date issued | 2016 | |
identifier other | 47102846.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/81627 | |
description abstract | This paper presents an approach to fatigue reliability assessment of railway bridges based on probabilistic dynamic analysis of a coupled train-bridge system. The fatigue loading from moving trains is investigated through a novel approach in which three-dimensional (3D) numerical models of both the train and the bridge are integrated with a wheel-rail interaction model to perform coupled dynamic analysis. The results of this analysis are used to estimate the long-term fatigue loading and the time-variant fatigue reliability of bridge details. Train speed and track irregularities are selected as random variables in the coupled train-bridge system model. Probabilistic dynamic stress analysis is conducted for each train passage to obtain samples of the stress range and its cycle count. This information is used to identify the probability distributions of the stress range. Fatigue reliability is evaluated by solving a fatigue limit-state function established through the | |
publisher | American Society of Civil Engineers | |
title | Fatigue Reliability Assessment of Railway Bridges Based on Probabilistic Dynamic Analysis of a Coupled Train-Bridge System | |
type | Journal Paper | |
journal volume | 142 | |
journal issue | 3 | |
journal title | Journal of Structural Engineering | |
identifier doi | 10.1061/(ASCE)ST.1943-541X.0001435 | |
tree | Journal of Structural Engineering:;2016:;Volume ( 142 ):;issue: 003 | |
contenttype | Fulltext | |