A Review of Vibration-based Structural Health Monitoring with Special         Emphasis on Composite Materials

Abstract. Vibration based damage detection methods are among the most popular and promising approaches for health monitoring of structures. In this work a critical review of different methods for damage detection methods of structures is presented. The theoretical bases of the most popular methods based on the changes in the modal properties of the structures are deduced. The review includes the modal displacements, the mode shape slopes, the modal curvatures and the strain energy methods. The efficiency of all these methods is compared by using a finite element analysis of intact and damaged beams. The methods are tested experimentally by using a scanning laser vibrometer to measure the modal properties of specially prepared composite beams with defects. All this methods are compared with the damage detection method based on the analysis of the Poincaré maps of the motion of the structures). Conclusions concerning the advantages and the applicability of the considered methods are deduced.

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“…The detailed analysis of the most of them can be found in the excellent review articles [4][5][6][7] …”

Section: Modal Based Methodsmentioning

confidence: 99%

Vibration Based Methods For Damage Detection In Structures

et al. 2016

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“…SHM technology is applied increasingly for research and industrial purposes as a potential tool for quality assurance [18,19]. However, many of the developed and available NDE technologies are complex, expensive and require significant calibration with the passage of time.…”

Section: Structural Health Monitoring (Shm) Is a Type Of A Non-destrumentioning

confidence: 99%

Structural health monitoring capabilities in ceramic–carbon nanocomposites

Bhat

Daoush

2014

Ceramics International

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. AbstractA novel method for analysing structural health of alumina nanocomposites filled with graphene nanoplatelets (GNP), carbon nanotubes (CNTs) and carbon black nano-particles (CB) is presented. All nanocomposites were prepared using novel colloidal processing and then by Spark Plasma Sintering.Good homogeneous dispersion was observed for all carbon filled materials. Nanocomposite bars were indented to produce sub-surface damage. Change in electrical conductivities were analysed after indentation to understand structural damage. For correlating change in electrical conductivity and Page 2 of 15 indentation damage and understanding damage tolerance, mechanical properties were compared.Because of the systematically induced indentation damage, a sharp decrease of 86% was observed in the electrical conductivity of CNT nanocomposite as compared to 69% and 27% in the electrical conductivities of GNP nanocomposites and CB nanocomposites respectively. CNTs impart superior damage sensing capability in alumina nanocomposites, in comparison to GNP and CB, due to their fibrous nature, high aspect ratio and high electrical conductivity.

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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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A Review of Vibration-based Structural Health Monitoring with Special Emphasis on Composite Materials

Cited by 430 publications

References 61 publications

Vibration Based Methods For Damage Detection In Structures

Vibration Based Methods For Damage Detection In Structures

Structural health monitoring capabilities in ceramic–carbon nanocomposites

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

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