| Bridges,as the key facilities in transportation routes,play an important role in transportation,and have great social and economic value.The reliability of bridges has always been one of the important research topics in the engineering field.In the absence of a large number of data,non-probabilistic reliability has a certain practicability to solve the problem of bridge reliability,and it is a new way of bridge reliability evaluation.Aiming at the problem that the traditional non-probabilistic reliability model has great influence on human factors and conservative evaluation results,this paper improves the original model and proposes an improved non-probabilistic reliability model considering interval variable data distribution.The main contents of this paper are as follows:(1)The theory of non-probabilistic reliability of structures is summarized.Taking the non-probabilistic reliability model as the research object,the idea of improving the original model is put forward.(2)Analyzing the traditional non-probabilistic reliability model,combining the data distribution of interval variables,an improved non-probabilistic reliability model considering the data distribution of interval variables is proposed,and the energy consumption of non-probabilistic reliability is taken as a new reliability measurement index.The results of two examples show that compared with the traditional non-probabilistic reliability model,the improved model can effectively improve the calculation accuracy of the results,and verify the feasibility and validity of the improved model.(3)The improved non-probabilistic reliability model is introduced into the reliability evaluation of bridges.As an example,the reliability of bridge structures is judged according to the energy consumption of non-probabilistic reliability.The results confirm the feasibility of the practical application of the improved non-probabilistic reliability model. |
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