Developing Fatigue Vehicle Models for Bridge Fatigue Assessment under Different Traffic Conditions

被引:19
|
作者
Deng, Lu [1 ]
Nie, Lei [2 ]
Zhong, Wenjie [2 ]
Wang, Wei [1 ]
机构
[1] Hunan Univ, Hunan Prov Key Lab Damage Diag Engn Struct, Changsha 410082, Hunan, Peoples R China
[2] Hunan Univ, Coll Civil Engn, Changsha 410082, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
Highway bridge; Fatigue vehicle model; Traffi c load spectrum; Genetic algorithm; Error analysis;
D O I
10.1061/(ASCE)BE.1943-5592.0001675
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The fatigue damage of steel bridges induced by heavy traffic loads is a critical problem worldwide. A uniform fatigue vehicle is generally adopted in bridge design codes to evaluate the cumulative fatigue damage of steel bridges. However, since the traffic loads vary across sites, a single vehicle with predetermined parameters may be imprecise for actual fatigue damage estimations. In this study, a new method for developing fatigue vehicle models that are applicable to various traffic conditions is proposed. The traffic in China was taken as an example for illustrating the proposed method. Numerical simulations were performed to investigate the fatigue damage distribution at 12 typical weigh-in-motion sites in China based on the collected vehicle load spectra, and the errors in fatigue damage estimations when adopting the fatigue vehicle Model III in Chinese bridge code were evaluated under various scenarios. Results showed that using Model III for fatigue analysis may seriously underestimate or overestimate the cumulative fatigue damage caused by the actual traffic loads under some conditions. Using a modified Model III with gross weight adjusted to the site-specific traffic condition could lead to a significant improvement, but the errors are still within a relatively large range. Following the classification and mathematical optimization techniques of the proposed method, a three-axle fatigue vehicle model and a four-axle fatigue vehicle model corresponding to the light and heavy traffic, respectively, were developed. These two fatigue vehicle models were proven to produce better and more consistent accuracy than the single fatigue vehicle model (i.e., Model III) for various traffic compositions in China.
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页数:12
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