Impact localization in composite structures of arbitrary cross section

Ciampa, Francesco; Meo, Michele; Barbieri, Ettore

doi:10.1177/1475921712451951

Cited by 83 publications

(66 citation statements)

References 19 publications

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“…The hybrid technique converges faster than the method proposed by Ciampa et al [13,14] that did not have any way of generating first estimates of the unknown parameters. However, the hybrid technique still had some prediction error because the basic assumption that the wave propagates from the acoustic source in different directions with the direction dependent average group velocity values is not true.…”

Section: Introductionmentioning

confidence: 99%

“…calculated by either substituting κ into equation (14) or substituting κ into equation (15) is used in the parametric formulation of the bisector (blue solid line in Figure 8),…”

Section: Proposed New Technique For Rhombus Wave Frontmentioning

confidence: 99%

“…Kundu et al [12] experimentally verified the technique for plates made of both isotropic (requiring 4 sensors) and anisotropic materials (requiring 6 sensors). Ciampa et al [13,14] also proposed a technique for source localization in anisotropic plates without knowing the plate properties. However, their technique required the solution of a system of nonlinear equations.…”

Section: Introductionmentioning

confidence: 99%

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Acoustic source localization in an anisotropic plate without knowing its material properties – A new approach

2017

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A number of techniques are available for acoustic source localization in isotropic plates without knowing the material properties of the plate. However, for a highly anisotropic plate acoustic source localization requires some knowledge of the plate material properties or its group velocity profile. In absence of this information one requires a large number of sensors to predict the acoustic source point in the plate. All proposed techniques for acoustic source localization with a few sensors assume the straight line propagation of waves from the source to the receiving sensor with an average group velocity when the plate material properties are not known. However, this assumption is not true for an anisotropic plate. Although the currently available techniques work well for weakly anisotropic plates since the wave path does not deviate significantly from the straight line propagation they fail miserably for highly anisotropic plates.In this paper acoustic source is localized in an anisotropic plate when non-circular wave front is generated. Direction vectors of wave fronts are obtained from the Time-Difference-Of-Arrivals (TDOA) at three sensors placed in a cluster. Four such direction vectors are then utilized in geometric vector analysis to accurately obtain the acoustic source location. The proposed technique is illustrated on an orthotropic plate that generates rhombus shaped wave front. It should be noted that the proposed technique does not require wave propagation along a straight line from the source to the sensor. It also does not need the knowledge of the material properties of the plate.

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Section: Introductionmentioning

confidence: 99%

“…calculated by either substituting κ into equation (14) or substituting κ into equation (15) is used in the parametric formulation of the bisector (blue solid line in Figure 8),…”

Section: Proposed New Technique For Rhombus Wave Frontmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Acoustic source localization in an anisotropic plate without knowing its material properties – A new approach

2017

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“…Prime examples include research performed into insulating foam strikes following the loss of the space shuttle Columbia [6], approaches involving the use of embedded optical fibres [7,8], and approaches from the non-aerospace sectors, such as pipeline impact detection and monitoring [9]. These approaches have met with much success and now have a wide range of applications in structural health monitoring, extensively validated by experimental results [10,11,12]. Existing methods can be broadly sorted into two fields: fit-from-new, and retro-fit.…”

Section: Acoustic Sensing Conceptsmentioning

confidence: 99%

Detecting Impacts on a Representative Aerospace Structure: An Implementation with Tests

Bemment¹,

Read²,

Hubbard³

2015

Structural Health Monitoring 2015

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“…This technique was further applied to composite sandwich panels with an arbitrary layup. 13 All the techniques discussed thus far have focussed on using sparsely distributed sensors and locating within the sensor array. Researchers have developed techniques that utilise specific closely spaced sensor arrays to enable global location outside the sensor array.…”

mentioning

confidence: 99%

Improved acoustic emission source location during fatigue and impact events in metallic and composite structures

Pearson

Eaton

Featherston

et al. 2016

Structural Health Monitoring

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In order to overcome the difficulties in applying traditional time-of-arrival techniques for locating acoustic emission events in complex structures and materials, a technique termed 'Delta-t mapping' was developed. This article presents a significant improvement on this, in which the difficulties in identifying the precise arrival time of an acoustic emission signal are addressed by incorporating the Akaike information criteria. The performance of the time of arrival, the Delta-t mapping and the Akaike information criteria Delta-t mapping techniques is assessed by locating artificial acoustic emission sources, fatigue damage and impact events in aluminium and composite materials, respectively. For all investigations conducted, the improved Akaike information criteria Delta-t technique shows a reduction in average Euclidean source location error irrespective of material or source type. For locating Hsu-Nielsen sources on a complex aluminium specimen, the average source location error (Euclidean) is 32.6 (time of arrival), 5.8 (Delta-t) and 3 mm (Akaike information criteria Delta-t). For locating fatigue damage on the same specimen, the average error is 20.2 (time of arrival), 4.2 (Delta-t) and 3.4 mm (Akaike information criteria Delta-t). For locating Hsu-Nielsen sources on a composite panel, the average error is 19.3 (time of arrival), 18.9 (Delta-t) and 4.2 mm (Akaike information criteria Delta-t). Finally, the Akaike information criteria Delta-t mapping technique had the lowest average error (3.3 mm) when locating impact events when compared with the Delta-t (18.9 mm) and time of arrival (124.7 mm) techniques. Overall, the Akaike information criteria Delta-t mapping technique is the only technique which demonstrates consistently the lowest average source location error (greatest average error of 4.2 mm) when compared with the Delta-t (greatest average error of 18.9 mm) and time of arrival (greatest average error of 124.7 mm) techniques. These results demonstrate that the Akaike information criteria Delta-t mapping technique is a viable option for acoustic emission source location, increasing the accuracy and likelihood of damage detection, irrespective of material, geometry and source type.

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Impact localization in composite structures of arbitrary cross section

Cited by 83 publications

References 19 publications

Acoustic source localization in an anisotropic plate without knowing its material properties – A new approach

Acoustic source localization in an anisotropic plate without knowing its material properties – A new approach

Detecting Impacts on a Representative Aerospace Structure: An Implementation with Tests

Improved acoustic emission source location during fatigue and impact events in metallic and composite structures

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