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

Active Publication Date: 2022-04-22
SOUTHEAST UNIV
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Problems solved by technology

However, in previous studies, MAC was often used as a single value, and the modal information contained in MAC was not fully utilized.

Method used

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  • An Intelligent Update Method of Bridge Modal Parameters Based on Cross-modal Confidence Criterion Matrix
  • An Intelligent Update Method of Bridge Modal Parameters Based on Cross-modal Confidence Criterion Matrix
  • An Intelligent Update Method of Bridge Modal Parameters Based on Cross-modal Confidence Criterion Matrix

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Embodiment Construction

[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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Abstract

The invention discloses a method for intelligently updating bridge modal parameters based on a cross-modal confidence criterion (CMAC) matrix. The method is based on the CMAC matrix and combines an adaptive convolution operation layer and a fully connected classification layer to form a modal spectrum The intelligent response extraction neural network classifies and reconstructs the CMAC matrix to extract the physical modal spectrum response interval of the bridge structure; further, the bridge vibration data power spectral density is established based on the initial modal spectral response interval and the theoretical value of the finite element model modal parameters The surrogate model of modal information intensity is used to determine the maximum modal information spectrum response interval, and the modal parameter identification of bridge structure is carried out accordingly. The invention combines the CMAC matrix and the self-adaptive convolutional neural network to carry out intelligent analysis and identification of structural modal parameters, the network training efficiency is high, and the response of the weak excitation mode can be better extracted, which can be applied in the health status monitoring of bridge structures Carry out automatic update of modal parameters.

Description

technical field [0001] The invention relates to an intelligent updating method of bridge modal parameters based on a cross-modal confidence criterion (CMAC) matrix, which can be used for automatic analysis and extraction of structural modal spectral responses, thereby realizing intelligent identification and updating of bridge structural modal parameters. [0002] technical background [0003] With the substantial improvement of my country's economic and technological strength and the rapid development of the transportation industry, the level of bridge structure design and construction in my country has been continuously improved, and the bridge span has gradually moved from a hundred meters to a kilometer. As of 2019, my country has built about 880,000 highway bridges, including 5,716 super-large bridges. Such as the Hong Kong-Zhuhai-Macao Bridge and the Wufengshan Bridge, a number of super-large bridges representing the world's top level have been built in my country one a...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/04G06N3/08G06F17/16
CPCG06N3/08G06F17/16G06N3/045
Inventor 茅建校杨朝勇宗海梁瑞军王浩
Owner SOUTHEAST UNIV
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