Journal ArticleDOI
Damage assessment of structures using modal test data
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TLDR
In this article, two identification algorithms for assessing structural damages using the modal test data have been developed, which are similar in concept to the subspace rotation algorithm or best achievable eigenvector technique.About:
This article is published in International Journal of Solids and Structures.The article was published on 2001-05-01. It has received 100 citations till now. The article focuses on the topics: Test data & System identification.read more
Citations
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Journal ArticleDOI
Vibration Based Condition Monitoring: A Review:
E. Peter Carden,Paul Fanning +1 more
TL;DR: In this article, the state of the art in vibration-based condition monitoring with particular emphasis on structural engineering applications is reviewed, focusing on the use of in situ non-destructive sensing and analysis of system characteristics for detecting changes, which may indicate damage or degradation.
Journal ArticleDOI
Crack detection in beam-like structures using genetic algorithms
TL;DR: A fault diagnosis method based on genetic algorithms (GAs) and a model of damaged (cracked) structure and an analytical model of a cracked cantilever beam is utilized and natural frequencies are obtained through numerical methods.
Journal ArticleDOI
Structural Damage Detection via Modal Data with Genetic Algorithms
Ricardo Perera,Ronald Torres +1 more
TL;DR: In this article, a non-destructive global damage detection and assessment methodology based on the changes in frequencies and mode shapes of vibration of a structural system is presented, which is applied at an element level using a finite-element model.
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Quantification and localisation of damage in beam-like structures by using artificial neural networks with experimental validation
Melin Sahin,R.A. Shenoi +1 more
TL;DR: In this paper, the authors used a combination of global (changes in natural frequencies) and local (curvature mode shapes) vibration-based analysis data as input in artificial neural networks (ANNs) for location and severity prediction of damage in beam-like structures.
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Structural damage detection based on a micro-genetic algorithm using incomplete and noisy modal test data
TL;DR: In this paper, a procedure for detecting structural damage based on a micro-genetic algorithm using incomplete and noisy modal test data is described, which is applied to a single-span simply supported beam and a three-span continuous beam with multiple damage locations.
References
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Journal ArticleDOI
Damage detection from changes in curvature mode shapes
TL;DR: In this article, a new parameter called curvature mode shape is investigated as a possible candidate for identifying and locating damage in a structure, and it is shown that the absolute changes in the curvature shape are localized in the region of damage and hence can be used to detect damage.
Journal ArticleDOI
A numerically stable dual method for solving strictly convex quadratic programs
Donald Goldfarb,A. Idnani +1 more
TL;DR: An efficient and numerically stable dual algorithm for positive definite quadratic programming is described which takes advantage of the fact that the unconstrained minimum of the objective function can be used as a starting point.
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Damage Detection in Structures Using Changes in Flexibility
A.K. Pandey,M. Biswas +1 more
TL;DR: In this article, the effect of presence of damage in a structure on its flexibility is studied, and the effectiveness of using changes in the flexibility matrix in detecting and locating damages is demonstrated.
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Structural damage assessment using a generalized minimum rank perturbation theory
Mohamed Kaouk,David C. Zimmerman +1 more
TL;DR: In this paper, the concept of the minimum rank perturbation theory (MRPT) is adopted to determine the damage extent on the mass properties of an undamped structure, and the MRPT is extended to the case of proportionally damped structures.
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Damage detection in elastic structures using vibratory residual forces and weighted sensitivity
James M. Ricles,John B. Kosmatka +1 more
TL;DR: In this paper, a methodology is presented for detecting structural damage in elastic structures by nondestructive means using measured modal test data along with a correlated analytical structural model are used to locate potentially damaged regions using residual modal force vectors and conduct a weighted sensitivity analysis to assess the extent of mass and/or stiffness variations, where damage is characterized as a stiffness reduction.