2007
DOI: 10.1177/1045389x07083180
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Prediction of Impact Forces on an Aircraft Composite Wing

Abstract: The capabilities for monitoring impact forces on an aircraft composite wing using impact response function (IRF) are examined. The IRF is derived based on the finite element method (FEM). Impact locations are identified by minimizing strain errors and force deviation errors. The reconstruction of impact forces are performed by computational inverse methods. The results of impact location identifications and impact force reconstructions are verified by numerical simulations using finite element analysis.

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Cited by 15 publications
(4 citation statements)
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“…To estimate the impact location, it is not necessary to go through a very time-consuming procedure by scanning and searching for the peak value of the reconstructed signal at every point in the selected time domain as studied by [12,13]. An adaptive two-step search algorithm is proposed to rapidly trace the impact location with high resolution.…”
Section: Impact Location and Shape Estimationmentioning
confidence: 99%
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“…To estimate the impact location, it is not necessary to go through a very time-consuming procedure by scanning and searching for the peak value of the reconstructed signal at every point in the selected time domain as studied by [12,13]. An adaptive two-step search algorithm is proposed to rapidly trace the impact location with high resolution.…”
Section: Impact Location and Shape Estimationmentioning
confidence: 99%
“…In addition, owing to the anisotropy of composites the wave velocity is directionally dependent [11]; the closed form formulated by Tobias is invalid. An optimization function has been proposed to estimate the impact location [12,13]. Recently several attempts have been made using wavelet transformation and wavelet decomposition to overcome these issues [14,15].…”
Section: Introductionmentioning
confidence: 99%
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“…A system which has the ability to locate the impact event without such drawbacks would make the evaluation process more efficient. A variety of impact identification technologies have been reported in the literature [4][5][6][7][8][9] to detect the location of the impact event. A number of the technologies require the accurate and precise determination of the time of arrival of the signal excited by the events [10], while the large picking errors of the time of arrival make the estimated location inaccurate [11].…”
Section: Introductionmentioning
confidence: 99%