Beam member damage recognition method based on antiresonant frequency and particle swarm optimization

An anti-resonance frequency and particle swarm algorithm technology, applied in the direction of calculation, calculation model, instrument, etc., can solve the problems of low accuracy of calculation method and difficult practical application, and achieve the effect of high accuracy and improved efficiency.

Inactive Publication Date: 2015-07-01
HUAZHONG UNIV OF SCI & TECH
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  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of the above defects or improvement needs of the prior art, the purpose of the present invention is to provide a beam component damage identification method based on anti-resonance frequency and particle swarm algorithm, in which the structural damage degree is calculated based on the key parameters for judging structural damage Compared with the existing technology, it can effectively solve the problem of low accuracy and difficult practical application of the existing calculation method of structural damage degree; and through the two-step identification method of first damage location and then calculation of damage degree, combined with particle The group algorithm controls the number of variables in the calculation process of the damage degree, simplifies the calculation process, and can greatly improve the efficiency of the calculation simulation process

Method used

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  • Beam member damage recognition method based on antiresonant frequency and particle swarm optimization
  • Beam member damage recognition method based on antiresonant frequency and particle swarm optimization
  • Beam member damage recognition method based on antiresonant frequency and particle swarm optimization

Examples

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Embodiment 1

[0132] Example 1 Simple supported beam calculation example

[0133] image 3 Shown is a simply supported beam model. The specific parameters of the simply supported beam in this embodiment are as follows: geometrical size span 1.0m, rectangular section height 0.1m, width 0.05m; material characteristics are 7860kg / m 3 , Modulus of elasticity 2.1×10 11 Pa. A total of 49 driving points are taken on the simulated simply supported beam, and the driving points are evenly distributed on the simply supported beam, that is, the simply supported beam is equally divided into 50 small sections with the two ends of the simply supported beam as the limit. The intersection points between each subsection (49 in total, with image 3 For example, the points labeled 2-50) are the driving points; the distances between these 49 driving points and the adjacent driving points (or the end points of the simply supported beam) are all 0.02m; subject to the boundary conditions, the distance of the simply su...

Embodiment 2

[0145] Example 2 Cantilever beam calculation example

[0146] Figure 7 Shown is a cantilever beam model, its specific geometric dimensions (including span, rectangular section height, width), material properties (including density, elastic modulus) parameters are the same as in Example 1, and the setting of driving points is also the same as in Example 1. Consistent. The applied harmonic excitation amplitude is 10N, and the frequency range is 0-530Hz.

[0147] For comprehensive verification, the following four test conditions, which are the same as those in Example 1, are set on the beam member (cantilever beam), namely:

[0148] The first working condition, denoted as D1, has no damage to the cantilever beam;

[0149] The second working condition, denoted as D2, assumes that the cantilever beam is damaged at a position 0.2m away from the left end of the beam, and the damage degree is 0.2;

[0150] In the third working condition, denoted as D3, assuming that the cantilever beam is da...

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Abstract

The invention discloses a beam member damage recognition method based on the antiresonant frequency and the particle swarm optimization. The method includes the following steps that firstly, a plurality of drive points are evenly distributed on a beam member, harmonic excitation is conducted on the drive points in sequence to obtain mechanical impedances of all drive points of the beam member under an undamaged state and a damaged state respectively; secondly, according to a mechanical impedance curved of all the drive points under the undamaged state and the damaged state obtained in the first step, the first-order antiresonant frequency of each drive point is extracted, then a first-order antiresonant frequency curve is drawn, and a damaged position on the beam member is determined according to sudden change of the curve; thirdly, according to the damage position located in the second step, optimization is conducted based on the particle swarm optimization, and then the damage degree of the beam member can be obtained. By the adoption of the antiresonant frequency, the method is sensitive to partial damages and high in noise immunity, the change of the antiresonant frequency before and after the beam member is damaged can be directly used for recognizing structure damages, and the damage recognition accuracy can be effectively improved thanks to the good noise immunity.

Description

Technical field [0001] The invention belongs to the technical field of civil engineering structural health monitoring and damage identification, and more specifically relates to a beam component damage identification method based on anti-resonance frequency and particle swarm algorithm. Background technique [0002] Civil engineering structures are important places for human activities and are closely related to the safety of people’s lives and properties. Natural disasters such as frequent earthquakes, fires, and wind disasters pose serious threats to the safety of civil engineering structures. In addition, During the service process of the structure, as the service life increases, due to environmental loads, fatigue effects and other unfavorable factors, the structure will inevitably produce damage accumulation and resistance attenuation. When these damages accumulate to a certain degree, they will affect the overall The force-bearing performance of the structure has a negative...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G06N3/00
Inventor 王丹生周品朱宏平
Owner HUAZHONG UNIV OF SCI & TECH
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