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A structural damage identification method based on modal strain energy and convolution neural network

A convolutional neural network and modal strain energy technology, applied in biological neural network models, neural architectures, special data processing applications, etc., can solve problems such as inability to accurately identify structural damage, improve accuracy, and improve computing speed. , the effect of improving the accuracy

Active Publication Date: 2019-01-04
GUANGDONG UNIV OF TECH
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Problems solved by technology

The present invention combines the modal strain energy with an advanced convolutional neural network, which can overcome the disadvantage that the single use of modal strain energy cannot accurately identify structural damage, and can identify the location and degree of damage at the same time, achieving the goal of improving the accuracy of damage identification Purpose

Method used

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  • A structural damage identification method based on modal strain energy and convolution neural network
  • A structural damage identification method based on modal strain energy and convolution neural network
  • A structural damage identification method based on modal strain energy and convolution neural network

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Embodiment Construction

[0027] The drawings are for illustrative purposes only, and should not be construed as limitations on this patent; in order to better illustrate this embodiment, some parts in the drawings will be omitted, enlarged or reduced, and do not represent the size of the actual product;

[0028] For those skilled in the art, it is understandable that some well-known structures and descriptions thereof may be omitted in the drawings. The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0029] Such as figure 1 As shown, a structural damage identification method based on modal strain energy and convolutional neural network includes the following steps:

[0030] S1: Build the structural model through abaqus software simulation, and divide the unit according to the structural model;

[0031] S2: Simulate several structural damage situations of the structural model in different units;

[0032] S3...

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Abstract

The invention discloses a structural damage identification method based on modal strain energy and convolution neural network, comprising the following steps: S1, constructing a structural model through software simulation, and dividing a unit according to the structural model; S2: simulating several kinds of structural damage in different elements of the structural model; S3, extracting the first-order modal strain energy of the structure under the condition of free vibration, and converting the obtained data into matrix data form as the input of the convolution neural network; 4, training the convolution neural network; 5, carrying out actual measurement on that structure, and calculating the modal strain energy of different element in different order modes according to the element division mode of S1; S6: the data matrix of the modal vector of S5 being substituted into the trained convolution neural network of S4 to obtain the damage result of the structure. The invention improves the accuracy of damage identification, reduces the interference unit, and can identify the damage degree, and the damage degree can not be identified only by using the modal strain energy.

Description

technical field [0001] The invention relates to the field of civil engineering damage identification, in particular to a structural damage identification method based on modal strain energy and convolutional neural network. Background technique [0002] Civil engineering structures are prone to damage during long-term service, and engineering accidents caused by damage will cause heavy casualties and economic losses. Therefore, health monitoring and damage detection of structures are extremely important. The existing structural damage identification technology based on modal strain energy generally uses the difference between the modal strain energy and the intact modal strain energy, or calculates the rate of change for damage identification, which has the disadvantage of inaccurate identification, and many It is easy to misjudgment, and the degree of structural damage cannot be identified. Contents of the invention [0003] In order to overcome the existing deficiencies...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/04
CPCG06F30/20G06N3/045Y02T90/00
Inventor 陈贡发龚盼盼
Owner GUANGDONG UNIV OF TECH
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