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Structural damage identification method and device
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A technology for structural damage and identification methods, which is applied in the field of damage identification and can solve problems such as improving convergence speed, accuracy error, and detection accuracy failing to meet high-precision requirements.
Inactive Publication Date: 2019-09-20
GUANGZHOU UNIVERSITY
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[0003] In the research and practice of the prior art, the inventors of the present invention found that although the existing improved big bang-big shrinkage algorithm can simultaneously detect the location and degree of various structural damages, the detection accuracy is still It cannot meet the high-precision requirements of the industry. For example, the existing improved algorithm cannot maximize the convergence speed while overcoming the shortcomings of local optimum, which leads to large errors in the accuracy of structural damage detection using this algorithm.
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Embodiment 1
[0090] Example 1: Damage identification for a simply supported beam
[0091] In this section, the simply supported beam numerical model using improved PSO for structural damage detection is adopted. Figure 6 It is a finite element model with 21 nodes and 20 elements. The density of the material is 2800kg / m3 and the Young's modulus is 3.4×1010N / m2. Assume damage exists only in stiffness.
[0092] In this case, it is assumed that the failure of the structure only results in a decrease in stiffness and that the mass remains constant, ie α j ≡0(j=1,2,3,...,n e ).
[0093] Assuming that an impulse is applied at the seventh node, the magnitude is:
[0094]
[0095] The acceleration responses at N3, N6, N14, N19 are calculated as the "measured" responses, which are then used as input data to build the objective equation The measurement time is 6.0 seconds and the sampling frequency is 200hz. In order to consider the measurement noise under laboratory conditions, Gaussian ...
Embodiment 2
[0098] Example 2: Damage identification on European Space Agency structures
[0099] The structure of the European Space Agency studied in this section is as follows: Figure 8 shown. It consists of 44 nodes connected by 48 frame elements. Each node has 3 degrees of freedom, for a total of 132 degrees of freedom in the structure. The density of the material is 2800kg / m3 and the Young's modulus is 7.5×1010N / m2. Assume damage exists only in stiffness.
[0100] Also assume that an impulse is applied at the seventh node, the magnitude of which is given by
[0101]
[0102] The acceleration responses at N3, N6, N24, N35 are calculated as the "measured" responses, which are then used as input data to construct the objective equation
[0103]
[0104] Among them, the measurement time is 6.0 seconds, and the sampling frequency is 200hz. In order to consider the measurement noise under laboratory conditions, Gaussiannoise with an amplitude of 10% is introduced in the ident...
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Abstract
The invention discloses a structural damage identification method and device. In one embodiment: a finite element method is adopted to perform division of a plurality of units on a structure to be detected; acquiring acceleration data of the plurality of units as input, and constructing an objective function of the structure to be detected; performing damage detection on the structure to be detected through adoption of a target algorithm based on the target function to obtain a detection result, wherein the target algorithm is an improved large explosion, and the detection structure comprises a damaging position and a damaging degree of the structure to be detected. Based on the teaching of the above embodiment, the technical scheme of the invention can be applied to the damage detection of various structures, and can improve the detection accuracy of the damage position and the damage degree.
Description
technical field [0001] The invention relates to the technical field of damage identification, in particular to a structural damage identification method and device. Background technique [0002] With the development of science and technology, many structural facilities have become large and complex. Damage to these structures is caused by harsh environmental conditions, sudden external events and / or unpredictable internal changes in materials. Structural strength, stiffness and stability are greatly affected by structural damage, and even safety accidents may occur. Therefore, real-time localization and quantification of structural damage is of great significance. [0003] In the research and practice of the prior art, the inventors of the present invention found that although the existing improved big bang-big shrinkage algorithm can simultaneously detect the location and degree of various structural damages, the detection accuracy is still low. It cannot meet the high-p...
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