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Structural damage identification method based on ALO-INM and a weighted trace norm

A technology for structural damage and identification methods, used in the testing of machine/structural components, testing of mechanical components, measuring devices, etc.

Active Publication Date: 2019-11-22
JINAN UNIVERSITY
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Problems solved by technology

However, at present, there is no method in the industry that can solve the above three problems at the same time.

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  • Structural damage identification method based on ALO-INM and a weighted trace norm
  • Structural damage identification method based on ALO-INM and a weighted trace norm
  • Structural damage identification method based on ALO-INM and a weighted trace norm

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[0067] The present invention will be further described below in conjunction with drawings and embodiments.

[0068] see figure 1 , one A structural damage identification method based on ALO-INM and weighted trace norm, including:

[0069] S1 is based on the model correction theory and the finite element principle, and establishes the ele Structural finite element model of units, and calculate the first N of the model m Order natural frequency and mode shape; Wherein, in step S1, calculate before N of described model m First-order natural frequency and mode shape, including: integrating finite element elements to obtain the total stiffness matrix and total mass matrix of the structure, and calculating the first N of the structure according to the total stiffness matrix and total mass matrix m order natural frequencies and mode shapes.

[0070] S2, establish the original objective function O (α) of structural damage identification constraint optimization problem according ...

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Abstract

The invention discloses a structural damage identification method based on ALO-INM and a weighted trace norm. The method comprises the steps of: building a structural finite element model comprising Nel units according to a model correction theory and a finite element principle, and calculating the first Nm-order inherent frequency and vibration mode of the model; respectively establishing an original objective function O([alpha]), a first conjugate objective function and a second conjugate objective function, namely O*(alpha) and O**([alpha]), of the structural damage identification constraint optimization problem according to the frequency relative change rate and the modal confidence criterion; and solving O**([alpha]) by using an ALO-INM algorithm to obtain a structural damage identification result. According to the invention, an INM local search strategy is introduced on the basis of a meta-heuristic algorithm, the global optimization capability of the algorithm is enhanced to a certain extent, a weighting strategy and trace sparse regularization are introduced into a target function, so that the recognition precision and the noise robustness are improved, the influence of damage sensitivity and noise of different structures on the recognition precision can be reduced, and the method has relatively strong global optimization capability, relatively high recognition precision and relatively good noise robustness.

Description

technical field [0001] The present invention relates to the technical field of structural health monitoring, in particular to a structural damage identification method based on ALO-INM and weighted trace norm, the method is based on ALO-INM algorithm combined with weighted trace sparse regularization. Background technique [0002] Structural Damage Detection (SDD) has attracted much attention as a key step in the realization of structural health monitoring technology. Currently, various methods have been proposed. Among them, the model-based structural damage identification method is a research hotspot in the field of SDD in recent years. This type of method transforms the problem of structural damage identification into a mathematically constrained optimization problem. Traditional optimization methods cannot effectively solve complex, high-dimensional constrained optimization problems, but meta-heuristic algorithms have a better performance in solving such problems. Effe...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/00G06N3/00
CPCG01M13/00G06N3/006
Inventor 余岭陈承滨
Owner JINAN UNIVERSITY
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