A review of nonlinear dynamics applications to structural health monitoring

Worden, Keith; Farrar, Charles R.; Haywood, Jonathan; Todd, Michael D.

doi:10.1002/stc.215

Cited by 171 publications

(97 citation statements)

References 23 publications

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“…Among various structural damage detection techniques, such as infrared testing [7], eddy current testing [8,9], magnetic particle testing [10], and ultrasound testing [11,12], the ultrasound testing technique has been widely used due to its relatively high spatial resolution, portable operation, high performance ratio, and high effectiveness in damage detection. By recording the ultrasonic waves propagating through a structure, macroscopic damage such as cracks, inclusions, and notches can be detected by using this method [5].…”

Section: Introductionmentioning

confidence: 99%

Detection and Quantification of Damage in Metallic Structures by Laser-Generated Ultrasonics

2018

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Abstract:The appearance of damage on metallic structures is inevitable due to complex working environments. Non-destructive testing (NDT) of these structures is critical to the safe operation of the equipment. This paper presents a non-destructive damage detection, visualization, and quantification technique based on laser-generated ultrasonics. The undamaged and damaged metallic structures are irradiated with laser pulses to produce broadband input ultrasonic waves. Damage to the structures plays the role of a nonlinear radiation source of new frequencies. Usually these new frequencies are too weak to be detected directly. Here, the state space predictive model is proposed to address the problem. Based on the recorded responses in the time domain, the state space attractors are reconstructed. Damage to the structures is shown to change the properties of the attractors. A nonlinear damage detection feature called normalized nonlinear prediction error (NNPE) is extracted from the state space to identify the changes in the attractors-and hence the damage. Furthermore, the damage is visualized and quantified using the NNPE values extracted from the entire area by using a laser scanning technique. Experimental results validate that the proposed technique is capable of detecting, visualizing and quantifying artificial damage to aluminum alloy plates and actual fatigue cracks to a twin-screw compressor body.

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Section: Introductionmentioning

confidence: 99%

Detection and Quantification of Damage in Metallic Structures by Laser-Generated Ultrasonics

2018

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“…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]. It is important to note that delamination detection in composites-based on vibration analysis-is a challenging task.…”

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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“…Additionally, structural damages also induce nonlinear behavior, for instance cracks, delamitation, buckling and postpuckling, beyond other examples [10]. Thus, if the monitored system operates initially with linear behavior, the existence of damage is easily detected with some features that can identify nonlinear behavior.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear features identified by Volterra series for damage detection in a buckled beam

Hansen

Silva

2014

MATEC Web of Conferences

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Abstract. The present paper proposes a new index for damage detection based on nonlinear features extracted from prediction errors computed by multiple convolutions using the discrete-time Volterra series. A reference Volterra model is identified with data in the healthy condition and used for monitoring the system operating with linear or nonlinear behavior. When the system has some structural change, possibly associated with damage, the index metrics computed could give an alert to separate the linear and nonlinear contributions, besides provide a diagnostic about the structural state. To show the applicability of the method, an experimental test is performed using nonlinear vibration signals measured in a clamped buckled beam subject to different levels of force applied and with simulated damages through discontinuities inserted in the beam surface.

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A review of nonlinear dynamics applications to structural health monitoring

Cited by 171 publications

References 23 publications

Detection and Quantification of Damage in Metallic Structures by Laser-Generated Ultrasonics

Detection and Quantification of Damage in Metallic Structures by Laser-Generated Ultrasonics

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

Nonlinear features identified by Volterra series for damage detection in a buckled beam

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