Probabilistic finite element method (PFEM)-based steel-bridge fatigue reliability evaluation method

A finite element method and reliability technology, applied in the testing of machine/structural components, measuring devices, instruments, etc., can solve the problems of high time consumption, cumbersome processing, limited measuring points, etc., to reduce costs and evaluate cycle, layout Simple, low-cost effects

Active Publication Date: 2012-03-21
SOUTHEAST UNIV
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Problems solved by technology

[0005]Technical issues: In order to overcome the high cost, high time-consuming, limited measuring points and huge data processing of traditional steel bridge fatigue reliability assessment methods based on health monitoring systems cumbersome and other deficiencies, the present invention provides a comprehensive, accurate and efficient steel bridge

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  • Probabilistic finite element method (PFEM)-based steel-bridge fatigue reliability evaluation method

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Embodiment Construction

[0029] The steel bridge fatigue reliability assessment method based on the probabilistic finite element method of the present invention mainly consists of four parts: vehicle statistics, finite element modeling, programming loading, and data processing and analysis. Take one span of a steel bridge in service as an example (for its cross-section, see figure 1 ), the implementation steps are as follows:

[0030] Step 1: Install a WIM dynamic weighing system on the target bridge, collect and summarize the information of passing vehicles in a certain period of time, such as figure 2 and image 3 shown.

[0031] Step 2: According to the bridge structure design drawings, for the details to be evaluated ( Figure 4 ), to establish a three-dimensional finite element calculation model of the bridge ( Figure 5 ), and perform a fine segmentation of the structural components to be evaluated ( Figure 6 ), to prepare for the subsequent programming load.

[0032] The third step: us...

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Abstract

The invention relates to a probabilistic finite element method (PFEM)-based steel-bride fatigue reliability evaluation method, in particular to a fatigue reliability evaluation method by combining dynamic weighing data (WIM) of a car and the analysis of the PFEM, which aims at solving the problems that the bridge structure health monitoring cost is higher and the stress measuring point distribution is limited, and utilizes the real WIM data to statistically analyze car load and establishes a probabilistic distribution model of a car type, road distribution, axle weight and wheel-base. Finite element method analysis software is used for establishing a numeric model of a bridge. A probabilistic finite element program is compiled, stress amplitude and stress cyclic quantity of a key part under the random car load effect are extracted through the sampling, loading and finite element analysis to be statistically counted. The fatigue reliability calculation is performed according to the statistical result, and the reliability attenuation trend of the evaluated part in the subsequent application process is predicted. By adopting the method, a feasible analysis tool is provided for the fine fatigue evaluation of complicated steel-bridge details.

Description

technical field [0001] The present invention is a steel bridge fatigue reliability evaluation method based on probabilistic finite element analysis, which is used to evaluate the fatigue reliability of steel bridges under repeated vehicle loads during service, in order to understand the current situation of steel bridges, predict the fatigue life of steel bridges and Take corresponding reinforcement measures in time to provide reference. Background technique [0002] During the operation period, the bridge steel structure will bear the cyclic stress of dynamic loads such as vehicles and wind. Usually, under the repeated action of alternating loads lower than its tensile ultimate strength, fatigue cracks will initiate and expand, and often It will break suddenly without obvious warning. In addition, because the bridge structure has been in service for decades or even hundreds of years, under the influence of load changes, material variations, natural disasters, and human fac...

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Application Information

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IPC IPC(8): G01M99/00
Inventor 郭彤陈宇文
Owner SOUTHEAST UNIV
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