Damage identification using inverse methods

Friswell, Michael I.

doi:10.1098/rsta.2006.1930

Cited by 291 publications

(120 citation statements)

References 90 publications

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“…Firstly, the identification of the multiple cracks locations ans depths are investigated by considering the Frequency Response Function throughout the beam, in one transverse direction and without noise on measurements. However, as previously explained by Friswell [18], environmental effects may induced changes in the measured data that make damage assessment very difficult. Moreover, one very difficult aspect of damage location is the number of the sensors.…”

Section: Introductionmentioning

confidence: 99%

Robust damage assessment of multiple cracks based on the frequency response function and the Constitutive Relation Error updating method

Faverjon

Sinou

2008

Journal of Sound and Vibration

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To cite this version:Béatrice Faverjon, Jean-Jacques Sinou. Robust damage assessment of multiple cracks based on the frequency response function and the Constitutive Relation Error updating method. Journal of Sound and Vibration, Elsevier, 2008, 312, pp.821-837 AbstractThe aim of this paper is to present a damage assessment technique for the non destructive detection and sizing of multiple open cracks in beams. The Constitutive Relation Error updating method is used for the identification of the location and the size of multi-cracks in a simply supported beam. The present identification method is illustrated through numerical examples including double and triples cracks. Moreover, the efficiency and robustness of the proposed method is demonstrated through various numerical simulations in regard to the non-dimensional crack depth and the crack location. It is demonstrated that the Constitutive Relation Error updating method can detect the number of cracks on the beam and can estimate both the crack positions and sizes with satisfactory precision, even if 10% or 20% noise levels has been added to the simulations, and only few degrees of freedom are used for the identification procedure.

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Section: Introductionmentioning

confidence: 99%

Robust damage assessment of multiple cracks based on the frequency response function and the Constitutive Relation Error updating method

Faverjon

Sinou

2008

Journal of Sound and Vibration

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“…The former includes methods based on acoustic emission [3,4], operational load monitoring [1,5] and impact detection techniques [1,[6][7][8][9][10]. The latter covers various methods based on vibration analysis [11][12][13][14] and non-destructive techniques, such X-ray [15,16], shearography [1,17], vibro-thermography [18,19], ultrasonic and acousto-ultrasonic testing [20,21], and guided ultrasonic waves [22][23][24][25][26]. Recent years have brought research interest in various damage-related nonlinear phenomena that can be observed in ultrasonic responses and vibration characteristics.…”

Section: Introductionmentioning

confidence: 99%

“…frequency response function, transfer function) can be used to detect structural damage, as reviewed in [11][12][13][14]. An excellent overview of vibration-based methods-that also cover nonlinear approaches-can be found in [41][42][43].…”

Section: Introductionmentioning

confidence: 99%

Triple correlation for detection of damage-related nonlinearities in composite structures

et al. 2015

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Nonlinear effects in vibration responses are investigated for the undamaged composite plate and the composite plate with a delamination. The analysis is focused on higher harmonic generation in vibration responses for various excitation amplitude levels. This effect is investigated using the triple correlation technique. The dynamics of composite plate was modelled using two-dimensional finite elements and the classical lamination theory. The doubled-node approach was used to model delamination area. Mode shapes and natural frequencies were estimated based on numerical models. Next, the delamination divergence analysis was used to obtain relative displacements for delaminated plies. Experimental modal analysis test was carried out to verify the numerical models. The two strongest vibration modes as well as two vibration modes with the smallest and largest motion level of delaminated plies were selected for nonlinear vibration test. The Fisher criterion was employed to verify The results show that the method can be used not only to reveal nonlinearities, but also to reliably detect impact damage in composites. These results are confirmed using the statistical analysis.

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“…In this kind of methods, parameters in a finite element (FE) model related to the structural damage are adjusted so that the model predictions match the measured data in an optimal way [1]. For it, a suitable objective function measuring the agreement between numerical predictions and experimental data should be defined.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective structural damage identification in uncertain environments

Perera

Sevillano

Ruíz

2012

MATEC Web of Conferences

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Abstract. Evolutionary algorithms are suitable to solve damage identification problems in a multiobjective context. However, the performance of these methods can deteriorate quickly with increasing noise intensities originating numerous uncertainties. In this paper, a statistic structural damage detection method formulated in a multiobjective context is proposed. The statistic analysis is implemented to take into account the uncertainties existing in the structural model and measured structural modal parameters. The presented method is verified by a number of simulated damage scenarios. The effects of noise and damage levels on damage detection are investigated.

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Damage identification using inverse methods

Cited by 291 publications

References 90 publications

Robust damage assessment of multiple cracks based on the frequency response function and the Constitutive Relation Error updating method

Robust damage assessment of multiple cracks based on the frequency response function and the Constitutive Relation Error updating method

Triple correlation for detection of damage-related nonlinearities in composite structures

Multiobjective structural damage identification in uncertain environments

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