Damage detection using finite element and laser operational deflection shapes

Waldron, Kenneth J.; Ghoshal, Anindya; Schulz, Mark J.; Sundaresan, M.; Ferguson, Frederick; Pai, P. Frank; Chung, Jou-Ku

doi:10.1016/s0168-874x(01)00061-0

Cited by 56 publications

(45 citation statements)

References 11 publications

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“…They are designed and widely used for vibration measurements in many engineering applications. This includes modal analysis [65,66,67] and vibration-based damage detection [68,69]. Commercial laser vibrometers have also been used to analyse the stress-acoustic field [70], ultrasonic shear waves [71] and Lamb waves [72,73,74,75].…”

Section: Non-contact Techniquesmentioning

confidence: 99%

Structural Health Monitoring Using Guided Ultrasonic Waves

Staszewski

2004

Advances in Smart Technologies in Structural Engineering

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Section: Non-contact Techniquesmentioning

confidence: 99%

Structural Health Monitoring Using Guided Ultrasonic Waves

Staszewski

2004

Advances in Smart Technologies in Structural Engineering

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“…For example, Han et al (2005) recently introduced wavelet packet based damage identification strategies for beam structures and, in spite of the admission of a certain potential of the method, they recognized that the need to resort to a reliable reference structural model in healthy (undamaged) conditions was an important limitation of the method. Kim et al (2006) realized the importance of extracting (experimentally) reliable mode shapes on dense grids; these latter can be obtained by using a scanning laser vibrometer (Pai and Young, 2001;Waldron et al, 2002;Chukwujekwu Okafor and Dutta, 2000). A part from the particular suggested techniques, the literature has recently shown a certain convergence of opinions on the importance to have available reliable measurement set-ups along with a huge number of measured points.…”

Section: Introductionmentioning

confidence: 99%

Detecting damage through the processing of dynamic shapes measured by a PSD-triangular laser sensor

Trentadue

Messina

Giannoccaro

2007

International Journal of Solids and Structures

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There exist several studies in the literature which have shown the potentiality offered by certain vibration-based techniques aimed at detecting damage in structural systems. In all these existing techniques noise (distributed and/or outliers) plays a significant role and can make the difference between a successful or an unsuccessful application. In spite of such a mentioned remarkable influence, the studies aimed at investigating the influence of noise on the success of the techniques are not as rich in experimental details as they are in numerical simulations. In this work an extensive set of experiments aimed at evaluating the feasibility of certain diagnosing techniques is provided. This work should also be considered as the experimental validation of certain analytical and numerical simulations carried out in the past [Gentile, A., Messina, A., 2003. On the continuous wavelet transforms applied to discrete vibrational data for detecting open cracks in damaged beams. International Journal of Solids and Structures 40, 295-315;Messina, A., 2004. Detecting damage in beams through digital differentiator filters and continuous wavelet transforms. Journal of Sound and Vibration 272, 385-412] within the frame of real measurements based on a particular laser technology; in addition, the mentioned validating experiments illustrate certain peculiarities not shown in the past, and, finally, valuable benchmarks are provided for testing future diagnosing techniques in numerical simulations. The experimental set-up consists of both commercial and electronic circuits appropriately designed and realized, whose significance, in the measuring system is accurately described in order to increase the signal/noise ratio of the dynamical measurements.

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“…Xu et al [5] proposed an adaptive multiplayer perceptron (MLP) for cracks detection in anisotropic laminated plates where the only displacement response on the plate surface is provided to the MLP as input. A literature reviews in which the ANNs are used in the damage detection is provided in [6,7]. In this paper, the dynamic behaviour is expressed through elasticity coupled with damage using a phenomenological macro-model for cracked composites structures made of polymer reinforced with long glass fibres.…”

Section: Introductionmentioning

confidence: 99%

Metamodel for nonlinear dynamic response analysis of damaged laminated composites

et al. 2016

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Abstract. Damage affects negatively the safety of the structure and can lead to failure. Thus, it is recommended to use structural health monitoring techniques in order to detect, localize and quantify damage. The main aim of the current work is the development of a numerical metamodel to investigate the dynamic behavior of damaged composite structures. Hence, a metamodelling for damage prediction and dynamic behavior analysis of laminate composite structures is proposed, wherein the stress state in the structure is used as indicative parameters and artificial neural networks as a learning tool.

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Damage detection using finite element and laser operational deflection shapes

Cited by 56 publications

References 11 publications

Structural Health Monitoring Using Guided Ultrasonic Waves

Structural Health Monitoring Using Guided Ultrasonic Waves

Detecting damage through the processing of dynamic shapes measured by a PSD-triangular laser sensor

Metamodel for nonlinear dynamic response analysis of damaged laminated composites

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