2026 Vol.9 Feb.N01   

• Title: Research on intelligent identification method of safety risk of bridge and tunnel structure in mountainous area under complex en
• Name: Tao Peng 1,2 , Lijuan Zhang 1,2, Guotao Wang 1,2, Meng Wang 1,2,
• Company: 1.Guizhou Communications Polytechnic University, Guiyang 551400,China; （2.Guizhou Provincial Key Laboratory of Intelligent Construction andOperation & Maintenance for Bridge and Tunnel Engineering in Mountainous Areas, Guiyang 551400,China
• Abstract:

  Intelligent risk identification methods for bridge and tunnel structures are mostly based on simple risk factor matching and fixed weight distribution mechanism. Because of ignoring the difference of different risk factors' contribution to the safety risk of bridge and tunnel structures, it is difficult to accurately capture the dynamic correlation between risk factors in complex environment, resulting in poor identification accuracy. In view of this, an intelligent identification method for safety risks of bridge and tunnel structures in mountainous areas under complex environment is proposed. Fully identify the natural environment, the structure itself and human factors, and build a complete set of risk factors. Then, with the help of grey relational analysis, the weight of each factor is quantified and the key risk factors are screened. Determine the key risk factor set and the risk state grade evaluation set, calculate the factor weight, construct the fuzzy relation matrix, and judge the risk state according to the maximum membership principle through fuzzy synthesis operation. In the experiment, the recognition accuracy of the proposed method is tested. Through the test and comparison results, it is clear that when the proposed method is used to identify the safety risks of bridge and tunnel structures, the average false alarm rate of the algorithm is 0.15%, which has an ideal identification effect.

• Keyword: complex environment; Mountain area; Bridge and tunnel structure; Security risks; Intelligent identification;
• DOI: 10.12250/jpciams2026090216
• Citation form: Tao Peng,Lijuan Zhang,Guotao Wang,Meng Wang,Lei Zhao,Zhanying Huang.Research on intelligent identification method of safety risk of bridge and tunnel structure in mountainous area under complex environment[J]. Computer Informatization and Mechanical Syste

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