Journal ArticleDOI
Damage Detection Method Based on Element Modal Strain Energy Sensitivity
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In this article, a damage detection method based on an efficient algebraic algorithm of element modal strain energy sensitivity is proposed for detecting damage location and severity in a one-step (non-iterative) procedure.Abstract:
In this paper, a damage detection method based on an efficient algebraic algorithm of element modal strain energy sensitivity is proposed for detecting damage location and severity. The method adopts a closed form of element modal strain energy sensitivity. The element damage equations have been systematically established and a solution technique incorporated with the singular value decomposition-based regularization algorithm is used to ensure the correct solutions. A number of assumed damage scenarios for numerically simulated beams and two-dimensional frame structure have been used to demonstrate the applicability of proposed method. The noise effect is also presented. It is demonstrated that the proposed method is efficient in a one-step (non-iterative) procedure.read more
Citations
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Journal ArticleDOI
Structural Damage Detection Using Modal Strain Energy and Hybrid Multiobjective Optimization
Young-Jin Cha,Oral Buyukozturk +1 more
TL;DR: A novel damage detection approach using hybrid multiobjective optimization algorithms based on MSE is proposed to detect damages in various three-dimensional (3-D) steel structures.
Journal ArticleDOI
Structural damage detection using finite element model updating with evolutionary algorithms: a survey
TL;DR: This study aims to present a review of critical aspects of structural damage identification using evolutionary algorithm-based finite element model updating for structural damage detection and possible research directions for utilizing evolutionary algorithms to solve damage detection problems.
Journal ArticleDOI
Damage assessment in structures using combination of a modified Cornwell indicator and genetic algorithm
S. Tiachacht,A. Bouazzouni,Samir Khatir,M. Abdel Wahab,M. Abdel Wahab,A. Behtani,Roberto Capozucca +6 more
TL;DR: A Modified Cornwell Indicator (MCI) is proposed that performs more efficient in damage detection than the standard Corn well indicator (CI) and is combined with Genetic Algorithm for further quantification of the detected damage.
Journal ArticleDOI
Statistic structural damage detection based on the closed-form of element modal strain energy sensitivity
TL;DR: Based on the closed-form of element modal strain energy sensitivity, a statistic structural damage detection algorithm is proposed in this paper, which is oriented to the ambient vibration measurements where only the operational mode shapes are available.
Journal ArticleDOI
Modal Strain Energy-based Structural Damage Identification: A Review and Comparative Study
Shuqing Wang,Mingqiang Xu +1 more
TL;DR: A brief review of MSE-related techniques on structural damage identification aims to help readers identify starting points for research in vibration-based damage identification and health monitoring, and guide researchers and practitioners in better implementing available MSE based damage identification algorithms.
References
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Book
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Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review
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Journal ArticleDOI
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TL;DR: An updated review covering the years 1996 2001 will summarize the outcome of an updated review of the structural health monitoring literature, finding that although there are many more SHM studies being reported, the investigators, in general, have not yet fully embraced the well-developed tools from statistical pattern recognition.
Journal ArticleDOI
Modal Analysis for Damage Detection in Structures
George Hearn,Rene B. Testa +1 more
TL;DR: In this paper, the dependence of natural frequencies and modal damping coefficients on deterioration in structures is examined, and the magnitude of change in natural frequencies is a function of the severity and of the location of deterioration.
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