An Intelligent Update Method of Bridge Modal Parameters Based on Cross-modal Confidence Criterion Matrix
A cross-modal and modal parameter technology, applied in neural learning methods, complex mathematical operations, biological neural network models, etc., can solve the problem of failing to make full use of MAC modal information, and achieve the effect of enhancing modal response information
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[0032] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0033] Such as figure 1 and 2 Shown, the present invention mainly comprises the following steps:
[0034]Step 1: Construct finite element models of various bridge structures with different modal parameters, and simulate random loads with Gaussian white noise to calculate structural acceleration response data, and add 0-70% Gaussian white noise to the response data respectively, Analog signal test noise; the generated sample data is divided into 10 sections to calculate its average power spectral density (PSD) matrix (set the sample size of each section as N), thereby reducing the dimension of the CMAC matrix and the dispersion between elements; the average Singular value decomposition is performed on the PSD matrix, and the eigenvector u corresponding to the largest singular value of each average PSD matrix is retained i (The su...
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