Fatigue Reliability Assessment of RC Beams in Heavy-Haul Railways Based on Point Estimate Method

Author:

Shi Jiarui12,Song Li12,Cui Chenxing3ORCID,Yu Zhiwu12

Affiliation:

1. School of Civil Engineering, Central South University, Changsha 410075, China

2. National Engineering Research Center of High-Speed Railway Construction Technology, Changsha 410075, China

3. School of Civil Engineering, Henan University of Technology, Zhengzhou 450001, China

Abstract

Heavy-haul railways have a high passing frequency of trains with a large axle weight, causing rapid accumulation of fatigue damage in reinforced concrete (RC) bridge structures, which significantly affects the safety of the bridges. To study the fatigue reliability of RC beams in heavy-haul railways, the fatigue performance function for RC beams in heavy-haul railways was established, and the fatigue reliability assessment method for bridge structures in heavy-haul railways based on the point estimate method (PEM) was developed. An 8 meter-span plate beam in an existing heavy-haul railway illustrates the method. The train axle weight and dynamic coefficient were considered random variables, and the first four moments of equivalent stress ranges were obtained. The traffic quantity of the heavy-haul railways was investigated, and the fatigue reliability was evaluated using the proposed method. In addition, the effects of annual freight volume and train axle weight on fatigue reliability were discussed. Results indicate that PEM can effectively and accurately evaluate the fatigue reliability of RC beams in heavy-haul railways. In the first 20 years of operation, the fatigue failure probability was less than the limit value specified in the standard. The increase in annual traffic volume and train axle weight will cause a significant increase in fatigue failure probability. The research results of this paper are expected to provide an important basis for the design and maintenance of reinforced concrete bridges for heavy-haul railways in the future.

Funder

National Natural Science Foundation of China

Scientific Research Project of Shuohuang Railway Development Co., Ltd

Major Research Project of China Railway Group Limited

Publisher

MDPI AG

Subject

General Materials Science

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