Bridge moving vehicle load identifying method based on Kaczmarz algebraic iterative reconstruction method

Abstract

The invention discloses a bridge moving vehicle load identifying method based on a Kaczmarz algebraic iterative reconstruction method. The bridge moving vehicle load identifying method includes steps of uniformly arranging photoelectric sensors and accelerometers in bridge preset measuring points; (2) building a simple physical mechanics model of a bridge; solving qn(t) in a time domain by convolution integral to obtain system equation like Af=b, wherein A is a given system matrix, b is a given bridge deck response, and f is a solved moving vehicle load; (4) identifying the bridge deck moving vehicle load f by selecting proper iterative times k, namely the bridge acceleration response by the Kaczmarz algebraic iterative reconstruction method. The Kaczmarz algebraic iterative reconstruction method only needs simple iteration to identify moving load, the iterative formula does not contain other auxiliary vectors except linear equation set, and the bridge moving vehicle load identifying method is convenient to input, clear in theory, easy to popularize and very applicable to identify the moving load.

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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