Bayesian network-based concrete beam bridge comprehensive evaluation method

Abstract

The invention discloses a Bayesian network-based concrete beam bridge comprehensive evaluation method, which belongs to the field of bridge structure safety evaluation, grade evaluation and bridge structure health monitoring. According to the specific scheme of the invention, the method comprises the following steps of: 1, extracting main disease factors of a concrete beam bridge according to specifications, and determining a weight vector of each disease relative to the whole; 2, performing statistics on probability level distribution of each disease factor, performing risk factor recognition, and constructing a fault tree for analysis; 3, performing Bayesian network generation construction; 4, carrying out forward reasoning and reverse reasoning on the constructed Bayesian network, the disease occurrence probability is predicted, and accident causes are diagnosed and evaluated; and step 5, repeating the step 2 to the step 4 in a reciprocating manner, establishing a Bayesian network which is more reasonable and scientific for the actual bridge for prediction and evaluation, and comprehensively evaluating the technical condition grade of the actual bridge. According to the method,the bridge safety level and the disease risk degree can be scientifically and reasonably evaluated, and a solution is provided for bridge structure safety level evaluation.

Description

technical field [0001] The invention belongs to the fields of bridge structure safety assessment, grade assessment and bridge structure health monitoring, and in particular relates to a comprehensive assessment method for concrete girder bridges based on Bayesian networks. Background technique [0002] my country's bridge construction industry is developing rapidly, and the number of bridges built is huge. The focus of bridge engineering has gradually shifted to its operation and maintenance, appraisal and evaluation, and reinforcement and maintenance. The evaluation of the bearing capacity and durability of old bridges has always been the focus of experts and scholars. Therefore, how to accurately evaluate the residual bearing capacity, safety and reliability of existing highway bridges with damage, and how to repair and strengthen damaged bridges has become an important issue to be solved to ensure the safety and smoothness of highway traffic lines. [0003] At present, bri...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the problem that the existing traditional bridge evaluation method is single, inefficient, one-sided and has certain limitations in the risk analysis of complex systems where polymorphism and accurate probability are difficult to obtain. The comprehensive evaluation method of concrete girder bridges based on the Si network has realized the prediction of the risk probability level of concrete girder bridge diseases, the impact on the overall structural safety level, and the reasoning and diagnosis of accident causes, providing a basis for the application of advanced computer artificial intelligence technology in the field of bridge comprehensive evaluation Feasible approach, providing a solution for bridge safety assessment and prediction and real-time update intelligence

Images