Study On Evaluation And Prediction Of Bridge Bearing Capacity

The evaluation of bridge bearing capacity is an important part of the evaluation of bridge structure state,the establishment and improvement of bridge management system.In the face of increasing and large number of bridges,it is an important and urgent task to solve the problem of fast and effective assessment and prediction of bridge bearing capacity.However,the existing bridge bearing capacity evaluation usually uses the traditional appearance and structure detection and static and dynamic load test results,combined with the code standards and reliability theory to evaluate the bearing capacity of the bridge.Although this traditional bridge structure evaluation method is a direct and effective method,it has high cost,impact on traffic and certain safety risks,and faces a large number of problems Large bridge evaluation problems have become more and more inadequate.Therefore,this paper takes the intelligent assessment and prediction method of bridge structure bearing capacity as the starting point,uses cloud theory to assess the bearing capacity of bridge structure,uses Kriging model and Gauss process model to predict the bearing capacity of bridge respectively,verifies the correctness of cloud theory bridge bearing capacity assessment and Kriging and Gauss process model bearing capacity prediction,and constructs bridge structure bearing capacity The intelligent method of load capacity evaluation and prediction is applied to typical bridges.The main research contents are as follows:(1)Through the actual appearance inspection case,the fuzzy cloud theory and the common standard method are used for comparative analysis.(2)The Gauss process and Kriging agent model are derived and implemented in MATLAB.(3)In this paper,the static behavior of the structure can be predicted by the dynamic eigenvalue of the structure by analyzing the ideal simply supported beam and using the response surface algorithm.(4)Based on the study of the prediction of the static load capacity of simply supported beams,the influence of different sampling methods on the regression results of response surface is analyzed.(5)The prediction method is applied to the actual project to verify the feasibility and prediction error of this method in continuous beam and steel structure bridge.(6)On the basis of the above research,the adaptability of different response surface algorithms to different bridge types is verified.The research results show that the intelligent analysis method of bridge structure bearing capacity evaluation and prediction not only avoids the difficulties of complex field test affecting traffic and high cost,but also overcomes the difficulties of common evaluation methods in dealing with the performance evaluation of a large number of bridges.Intelligent analysis provides a new way to evaluate and predict the bearing capacity of bridge structure,which is both reliable and economical,so it has important theoretical significance and engineering value.