Parametric and nonparametric models of the impedance matrix of a random medium

Authors

  • Régis Cottereau Ecole Centrale Paris Laboratoire MSSMat Grande Voie des Vignes F-92295 Châtenay-Malabry
  • Didier Clouteau Ecole Centrale Paris Laboratoire MSSMat Grande Voie des Vignes F-92295 Châtenay-Malabry
  • Christian Soize Université Paris-Est Laboratoire de Mécanique 5 bd Descartes F-77454 Marne-la-Vallée

DOI:

https://doi.org/10.13052/REMN.17.881-892

Keywords:

probabilistic methods, impedance matrix, unbounded domain

Abstract

Two approaches are presented for the modeling of the impedance matrix of a random medium: one parametric and the other nonparametric. The former allows to take into account the data uncertainties while introducing a model error, that yields, in some cases, very high levels. The latter is based on a much simpler, deterministic, model, for which both data uncertainties and model errors are accounted for. When the model error is negligible, the parametric approach can be used for the identification of the parameters of the nonparametric model of the impedance matrix.

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Published

2008-09-10

How to Cite

Cottereau, R. ., Clouteau, D. ., & Soize, C. . (2008). Parametric and nonparametric models of the impedance matrix of a random medium. European Journal of Computational Mechanics, 17(5-7), 881–892. https://doi.org/10.13052/REMN.17.881-892

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Section

Original Article