Recognition method of bridge moving vehicle load based on kaczmarz algebraic iterative reconstruction method

Abstract

The invention discloses a bridge moving vehicle load identification method based on the Kaczmarz algebraic iterative reconstruction method. The simplified physical and mechanical model of (3) is solved in the time domain by convolution integration, and the system equation of the form is obtained, which is the known system matrix, which is the known bridge deck response, which is the required moving vehicle load; (4) By using the Kaczmarz algebraic iterative reconstruction method, the moving vehicle load on the bridge deck can be identified from the bridge acceleration response by selecting an appropriate number of iterations. The Kaczmarz algebraic iterative reconstruction method proposed by the present invention can realize moving load identification only by simple iteration, and the iterative formula does not contain other auxiliary vectors other than linear equations, which is convenient for input, clear in theory, easy to popularize, and is very suitable for moving load identification.

Description

technical field [0001] The invention relates to the technical field of bridge deck moving load identification, in particular to a dynamic identification method for bridge deck moving vehicle loads based on a Kaczmarz algebraic iterative reconstruction method. Background technique [0002] Bridges are an important part of the field of structural engineering and are of great significance to the development of a country and region. Vehicles moving on the bridge affect the service life of the road and bridge, and even restrict the economic development of a region or country. The data of the total vehicle weight and the axle load of each axle is a concern of the transportation departments of many countries in the world, because the total vehicle weight and the axle load of each axle are important reference data for bridge planning and design, maintenance management and safety and health monitoring, but the actual measurement of these Data is difficult. Traditional measurement m...

AI Technical Summary

Problems solved by technology

The data of the total vehicle weight and the axle load of each axle is a concern of the transportation departments of many countries in the world, because the total vehicle weight and the axle load of each axle are important reference data for bridge planning and design, maintenance management and safety and health monitoring, but the actual measurement of these data is difficult

Traditional measurement methods are very accurate in measuring static loads, but there are huge errors in the measurement of moving loads. In this case, identifying moving loads from bridge responses has become the research focus of experts and scholars from all over the world.

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