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https://doi.org/10.17559/TV-20240702001817

Research on Damage Identification of Beam Structure Based on Dynamics

Weishuo Xu ; School of Civil Engineering, University of Science and Technology Liaoning, Anshan, 114051, PR China
Hao Li ; School of Civil Engineering, University of Science and Technology Liaoning, Anshan, 114051, PR China *
Cheng Zhang ; Liaoning Metallurgical Geological Exploration Research Institute Co, Anshan, 114038, PR China
Junjiang Lu ; School of Civil Engineering, Shenyang Jianzhu University, 110168, PR China
Baoxin Qi ; School of Civil Engineering, Shenyang Jianzhu University, 110168, PR China

* Dopisni autor.


Puni tekst: engleski pdf 2.943 Kb

str. 847-859

preuzimanja: 200

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Sažetak

In this article, the damage identification methods based on structural modes are discussed. According to the curvature modes before and after damage, the traditional structural damage location method based on curvature change is improved, and based on the vibration differential equation of Euler-Bernoulli beam and Perturbation theory established a quantitative identification method for small structural damage. The cantilever aluminum beam model is established by ABAQUS, and different damage conditions are set up. The damage index method (D-index) and the curvature damage factor method (CDF) are used for localization analysis, and the perturbation theory is used to introduce the damage parameter ε for quantitative analysis. Taking the cantilever aluminum beam as the test object, the Piezoelectric Transducer-Scanning Laser Doppler Vibrometer (PZT-SLDV) modal test system is used to conduct vibration tests to verify the rationality and applicability of the methods, discuss the damage location, damage relationship between parameters. The research shows that the damage location can be accurately identified by the damage index method and the damage factor method, and the small damage severity can be effectively quantified by the damage parameter.

Ključne riječi

aluminum beam; curvature mode; damage detection; damage severity identification; dynamics; PZT-SLDV

Hrčak ID:

330531

URI

https://hrcak.srce.hr/330531

Datum izdavanja:

1.5.2025.

Posjeta: 399 *