Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/26055
Title: Fatigue reliability analysis of multi-loading suspension bridges considering nonlinear accumulative damage
Authors: Chen, Z
Xu, Y 
Keywords: Fatigue
Highway
Nonlinear damage
Railway
Reliability
Suspension bridges
Wind
Issue Date: 2014
Publisher: 中國學術期刊(光盤版)電子雜誌社
Source: 西南交通大學學報 (Journal of Southwesthern Jiaotong University), 2014, v. 49, no. 2, p. 213-219 How to cite?
Journal: 西南交通大學學報 (Journal of Southwesthern Jiaotong University) 
Abstract: Taking into account uncertainties in the nonlinear process of fatigue damage accumulation for fatigue reliability analysis of multi-loading long-span bridges, a fatigue reliability assessment method for a long suspension bridge under combined highway, railway, and wind loadings was proposed using a continuum damage model (CDM). First, the CDM based on continuum damage mechanics was briefly introduced, and main model parameters were analyzed. Then, a simplified CDM was proposed for further application to bridge structures. A limit state function for fatigue reliability analysis based on CDM was defined by introducing proper random variables into the CDM. The Monte Carlo simulation (MCS) was adopted to generate the random variables and to calculate the failure probability. Finally, the Tsing Ma Bridge in Hong Kong was taken as a case study, and the failure probabilities of the bridge at the end of 120 years were estimated for different loading scenarios. The results indicate that the health condition of the bridge in fatigue is satisfactory under the current traffic conditions, but attentions should be paid to future traffic growth because it will largely accelerate the damage growth.
URI: http://hdl.handle.net/10397/26055
ISSN: 0258-2724
DOI: 10.3969/j.issn.0258-2724.2014.02.005
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

2
Last Week
0
Last month
0
Citations as of Aug 18, 2017

Page view(s)

36
Last Week
1
Last month
Checked on Aug 20, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.