Bridge dynamic load testing method based on neural network technology
A technology of neural network and neural network model, which is applied in the field of dynamic load response test and bridge dynamic performance evaluation, can solve the problems of non-universality, high test cost, and insufficient precision, and achieve accurate and reliable test results, which are remarkable for society and society. Economic benefits, the effect of reducing structural damage
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[0029] The main process of the realization of the present invention is as follows (see figure 1 ):
[0030] 1) Statistically analyze a large number of existing bridge structure dynamic load test data to determine the dynamic load response parameters, such as vehicle speed, bridge span, bridge type, section geometric parameters, design reference period, service life, environmental factors, etc.;
[0031] 2) The dynamic load response influence parameters of the bridge structure are used as the input layer of the neural network, and the dynamic load response at different vehicle speeds is used as the output layer to construct a neural network model. The input layer of the neural network algorithm model has n neurons element x, x∈(x 1 ,x 2 …x n ), the hidden layer has d neurons h, h∈(h 1 , h 2 … h d ), the output layer has m neurons y, y∈(y1 ,y 2 ...y m ). The weights and thresholds between the input layer and the hidden layer are w ij and θ j , the weights and threshol...
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