Detection of changes in cracked aluminium plate determinism by recurrence analysis

Iwaniec, Joanna; Uhl, Tadeusz; Staszewski, Wiesław J.; Klepka, Andrzej

doi:10.1007/s11071-012-0436-9

Cited by 39 publications

(20 citation statements)

References 41 publications

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“…Recurrence analysis is promising for investigating brain activity [10] and early detection of epileptic states [11]. Furthermore, it is applied to monitor engines and technological processes, like power generation gas turbines health, cutting processes or crack detection in materials [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Fast Computation of Recurrences in Long Time Series

Rawald

Sips

Marwan

et al. 2014

Springer Proceedings in Mathematics &Amp; Statistics

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We present an approach to recurrence quantification analysis (RQA) that allows to process very long time series fast. To do so, it utilizes the paradigm Divide and Recombine. We divide the underlying matrix of a recurrence plot (RP) into sub matrices. The processing of the sub matrices is distributed across multiple graphics processing unit (GPU) devices. GPU devices perform RQA computations very fast since they match the problem very well. The individual results of the sub matrices are recombined into a global RQA solution. To address the specific challenges of subdividing the recurrence matrix, we introduce means of synchronization as well as additional data structures. Outperforming existing implementations dramatically, our GPU implementation of RQA processes time series consisting of N ≈ 1, 000, 000 data points in about 5 minutes.

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Section: Introductionmentioning

confidence: 99%

Fast Computation of Recurrences in Long Time Series

Rawald

Sips

Marwan

et al. 2014

Springer Proceedings in Mathematics &Amp; Statistics

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“…The above theories were developed over the years, bringing many interesting and scientifically important conclusions. They were also used to study phenomena occurring in metallic structures and composite materials [4][5][6][7]. These types of failures are typical for many engineering structures and exhibit behavior subjected to contact mechanics.…”

Section: Introductionmentioning

confidence: 99%

Identification of the stick and slip motion between contact surfaces using artificial neural networks

et al. 2020

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The paper presents work related to nonlinear system parameters identification. The research is focused on systems with hysteretic stiffness characteristics. The identification procedure is developed with use of artificial neural networks. The presented method assumes two separate clusters of neural networks, which are supported by additional signal processing block. Such approach gives an advantage over the conventional identification methods due to its small restrictions. The validation process considers structural responses in time and frequency domains as well as the restoring force plane of the dynamic structure. First, verification of the identification method is performed on the numerical simulation of the system with hysteretic stiffness. Next, the identification of the real dynamic system with contact-related nonlinearity is carried out. The steel samples with contacting surfaces were used in the experiment. Electromagnetic shaker was used to excite the structure and enforce a relative shear motion between surfaces in contact. The system response was recorded using the Polytec laser vibrometer.

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“…It is important to note that delamination detection in composites-based on vibration analysis-is a challenging task. This is mainly due to the fact that delamination in composites has no parallel to damage mechanisms in other materials [11,44]. In addition, detection of small delaminations in composite specimens is questionable, as discussed in [1].…”

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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Detection of changes in cracked aluminium plate determinism by recurrence analysis

Cited by 39 publications

References 41 publications

Fast Computation of Recurrences in Long Time Series

Fast Computation of Recurrences in Long Time Series

Identification of the stick and slip motion between contact surfaces using artificial neural networks

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

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