Study on the Reliability Evaluation Method and Diagnosis of Bridges in Cold Regions Based on the Theory of MCS and Bayesian Networks

Zhonglong Li (), Wei Ji (), Yao Zhang, Sijia Ge, Haonan Bing, Mingjun Zhang, Zhifeng Ye and Baowei Lv
Additional contact information
Zhonglong Li: School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China
Wei Ji: CCCC Infrastructure Maintenance Group Co., Ltd., Beijing 100020, China
Yao Zhang: School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China
Sijia Ge: School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China
Haonan Bing: School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China
Mingjun Zhang: Heilongjiang Communications Investment Group Co., Ltd., Harbin 150001, China
Zhifeng Ye: Heilongjiang Highway Development Center, Harbin 150001, China
Baowei Lv: Heilongjiang Highway Development Center, Harbin 150001, China

Sustainability, 2022, vol. 14, issue 21, 1-19

Abstract: The safety assessment of bridges in cold areas under the special environmental effects of extremely low temperatures, frequent freezing and thawing, and chloride ion erosion from snow removal with deicing salt, presents challenges that requiring solving. Thus, this paper proposes a new method of safety assessment based on a combination of Monte Carlo simulation (MCS) and Bayesian theory that achieves the reliability evaluation and reverse diagnosis of the overall safety performance of reinforced concrete bridges in cold areas. Additionally, the new method accomplishes the intelligent grading of various safety performance aspects of the bridge, which provides substantial references for the maintenance and reinforcement of in-service bridges.

Keywords: bridge evaluation in cold regions; MCS; Bayesian network; reliability evaluation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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