Acoustic-Emission Monitoring of Composite Damage Occurring Under Static and Impact Loading

Gardiner, D. S.; Pearson, Lee H.

doi:10.1111/j.1747-1567.1985.tb02362.x

Cited by 8 publications

(5 citation statements)

References 2 publications

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“…In the literature exist a considerable number of studies on acoustic waves generated by impact sources in metallic and composite materials (e.g. [6][7][8][9]).…”

Section: Principlementioning

confidence: 99%

“…This algorithm seeks iteratively the set of components previously chosen by the user considering the number of principal components which retain more than 85% of the total accumulated variance. Considering each column vector t as the columns of the matrix T and, each column vector p as the columns of the matrix P, the goal of this algorithm is to find by iterations the vectors t and p according to (6). This relationship can be expressed in a vectorial way as t = Xp.…”

Section: Modelling X (Pca)mentioning

confidence: 99%

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Partial least square/projection to latent structures (PLS) regression to estimate impact localization in structures

Ruiz

Mujica

Berjaga

et al. 2013

Smart Mater. Struct.

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This paper presents results from the application of partial least squares/projection to latent structures (PLS) as a regression tool in order to estimate the localization of impacts in an aircraft structure using the strain wave produced by the impact and recorded by sensors attached to the structure. PLS is a technique that maximizes the covariance between the predictor matrix X and the predicted matrix Y for each component of the space. The main objectives of PLS are: to model X and Y, and to predict Y from X. The structure used in this work can be considered as a small scale version of a part of an aircraft wing. A total of 574 experiments were performed impacting the wing over its surface and receiving vibration signals from nine sensors. The data set (time history signal) is organized in a matrix to be used as predictors, while the predicted matrix is given by the real localization of the impact (x, y coordinates). Experiments are divided into four groups depending on their localization and probability of occurrence. A PLS model is built using three of these groups (X and Y) and tested using the remaining group. Results are presented, discussed and compared with other methods.

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“…In the literature exist a considerable number of studies on acoustic waves generated by impact sources in metallic and composite materials (e.g. [6][7][8][9]).…”

Section: Principlementioning

confidence: 99%

Section: Modelling X (Pca)mentioning

confidence: 99%

Partial least square/projection to latent structures (PLS) regression to estimate impact localization in structures

Ruiz

Mujica

Berjaga

et al. 2013

Smart Mater. Struct.

View full text Add to dashboard Cite

show abstract

“…Once fractures are formed, they are important hindrances for acoustic emissions from other locations to reach the sensors. Opening of fractures can induce considerable damping, and, in addition, the anisotropic nature of the velocity as described by (11) is affected. This explains the decreased amount of localized hits in the prepeak stage.…”

Section: Application During a Uniaxial Load Testmentioning

confidence: 99%

“…This technique is called localization. Though AE measurements have been introduced in mechanical testing for a long time [10][11][12][13], the application of AE localization in rock material is still open for extended research.…”

Section: Introductionmentioning

confidence: 99%

Localization by Acoustic Emission in Transversely Isotropic Slate

Debecker

Vervoort

2011

Advances in Acoustics and Vibration

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A method for localization by acoustic emission in transversely isotropic media is developed and validated. Velocities are experimentally measured and then used to calculate a database of theoretical arrival times for a large number of positions. During an actual test, positions are assigned by comparing measured arrival times with the database's arrival times. The method is applied during load tests on slate samples and compared with visual observations of fractures. The localization method allowed for a good identification of the regions of fracturing at different stages during the test.

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“…There exist in the literature a considerable number of studies on acoustic waves generated by impact sources in metallic and composite materials (e.g. Gardiner and Pearson [1985], Weems et al [1991], Takeda et al [1981] and Prosser et al [1999].…”

Section: Principle Of Impact Identificationmentioning

confidence: 99%

Multiway Partial Least Square (MPLS) to estimate impact localization in structures

Mujica

Ruiz

Berjaga

et al. 2009

IFAC Proceedings Volumes

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This paper presents results from the application of Multiway Partial Least Square (MPLS) as a regressor tool in order to estimate the localization of impacts in an aircraft structure. MPLS is a technique that maximizes the covariance between the predictor matrix X and the predicted matrix Y for each component of the space. The structure can be considered as a small scale version of part of a wing aircraft. 574 experiments were performed impacting the wing over its surface and receiving vibration signals from nine sensors. Experiments are divided in four groups depending on their localization and probability of occurrence. A PLS model is build using three of these groups and tested using the remaining group. Results are presented, discussed and compared with results of other methods.

show abstract

Acoustic-Emission Monitoring of Composite Damage Occurring Under Static and Impact Loading

Cited by 8 publications

References 2 publications

Partial least square/projection to latent structures (PLS) regression to estimate impact localization in structures

Partial least square/projection to latent structures (PLS) regression to estimate impact localization in structures

Localization by Acoustic Emission in Transversely Isotropic Slate

Multiway Partial Least Square (MPLS) to estimate impact localization in structures

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