Machine learning for impact detection on composite structures

Simone, Mario Emanuele De; Andreades, Christos; Ciampa, Francesco; Meo, Michele

doi:10.1016/j.matpr.2020.01.295

Cited by 6 publications

(3 citation statements)

References 2 publications

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“…In the last decades, multiple methods were developed to convert the full wavefield dataset to a damage map [10][11][12][13][14][15][16][17][18][19][20][21][22]. For the method to be successful, the obtained damage map must reveal all defects and preferably also allow for defect evaluation (i.e.…”

Section: Introductionmentioning

confidence: 99%

Self-reference broadband local wavenumber estimation (SRB-LWE) for defect assessment in composites

Segers

Hedayatrasa

Poelman

et al. 2022

Mechanical Systems and Signal Processing

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Section: Introductionmentioning

confidence: 99%

Self-reference broadband local wavenumber estimation (SRB-LWE) for defect assessment in composites

Segers

Hedayatrasa

Poelman

et al. 2022

Mechanical Systems and Signal Processing

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“…The area enclosing the maximum correlation coefficient is the "impact cell", and then the actual impact coordinates are determined with topological method, e.g. gravity method [22], [23], or minimum average (MA) [24]. All the mentioned techniques are affected by different limitations, indeed some of them are effective only for isotropic and homogeneous materials and when the wave speed direction dependency is well known.…”

Section: Introductionmentioning

confidence: 99%

“…The area enclosing the maximum correlation coefficient is the 'impact cell', and then the actual impact coordinates are determined with topological method, e.g. gravity method [22,23], or minimum average [24].…”

Section: Introductionmentioning

confidence: 99%

High velocity impact on generic CFRP blade specimen: baseline free method for impact localisation and damage assessment on complex structures

Bätzel

Hornig

Meo

et al. 2022

Smart Mater. Struct.

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Unidirectional Composite materials are largely diffused in many engineering fields, such as automotive, railways, marine and aerospace. Main drawback of this materials lies in their low out-of-plane properties making them very prone to damage under as impact loading. Often composites structures could be affected barely visible damage (BVID) with detrimental consequences on structure resistance and strength [1]–[4]. Therefore, it is fundamental in terms of safety to continuously assess the healthy state of structures during their life and determine whether an impact event has occurred and if it caused damage or not. This work proposes a baseline free methodology to determine the coordinates of a high velocity impact on a complex structure and evaluate if damage has occurred during the impact by only acquiring signal during the impact event. The technique overcomes the common limitations of previous technique presented in literature, i.e., a priori knowledge of mechanical properties, vibration response analysis, wave propagation direction dependency, sensor locations. The routine developed is based first on the estimation of the power of the acoustic emission generated by impact events, at sensors location, then the power information through the entire structure is reconstructed exploiting radial basis function network. The actual impact estimation is finally obtained using a weighted method. Damage assessment is conducted with a novel method based on Hilbert-Huang transform and mode decomposition. Experimental tests were performed on a generic CFRP blade specimen with a complex stacking sequence and embedded sensors. Two test configurations at different velocities were considered: one at 90 m/s and one at 190 m/s. The results from the impact analysis highlighted the validity and reliability of the proposed method, with a high level of accuracy in terms of impact localisation estimation, and qualitative integrity state was effectively evaluated.

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