2009
DOI: 10.1088/0964-1726/18/4/045005
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Parametric identification of a transmission line model forin situdamage characterization in lap joints

Abstract: This paper presents an in situ damage identification method to characterize the thickness and location of a notch in a one-dimensional lap joint. The approach uses the propagation of flexural waves generated by a piezoceramic (PZT) to evaluate the global reflection coefficient of a complex structure such as a lap joint. A transmission line model (TLM) is used to describe the theoretical reflection coefficient from healthy and damaged lap joints. Parameters from the lap joint are identified in two steps from th… Show more

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Cited by 2 publications
(1 citation statement)
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“…Lessening the dependence on the orthodox physical principles and adopting numerically friendly assumptions, semiphysical or parametric models have been strategically considered. For example, a parametric model with complex modulus is identified by a least squares solution [8]; a heuristic transmission line model is proposed for modeling wave propagation along lap joints [9]. There is an interesting task of estimation of a transfer function, between white-noise excitation and propagating waves in a thin aluminum strip [10]; the estimated transfer function is a data-fitted auto-regressive with exogenous input (ARX) model and thus considered a data-driven black-box model not directly related to the underlying physical principles of wave propagation.…”
Section: Introductionmentioning
confidence: 99%
“…Lessening the dependence on the orthodox physical principles and adopting numerically friendly assumptions, semiphysical or parametric models have been strategically considered. For example, a parametric model with complex modulus is identified by a least squares solution [8]; a heuristic transmission line model is proposed for modeling wave propagation along lap joints [9]. There is an interesting task of estimation of a transfer function, between white-noise excitation and propagating waves in a thin aluminum strip [10]; the estimated transfer function is a data-fitted auto-regressive with exogenous input (ARX) model and thus considered a data-driven black-box model not directly related to the underlying physical principles of wave propagation.…”
Section: Introductionmentioning
confidence: 99%