Estimation of the Fuzzy Substructure Model Parameters Using the Mean Power Flow Equation of the Fuzzy Structure

Author:

Soize C.1

Affiliation:

1. Structures Department, ONERA, BP 72, F-92322 Chatillon Cedex, France

Abstract

This paper presents a theoretical approach for identifying the dimensionless mean coefficient of participating fuzzy mass which is the main unknown parameter of the type I or II fuzzy law previously introduced by the author. This method is based on the use of the associated power flow equation, each power term being identified by using a global statistical energy analysis of the fuzzy structure (master structure with its fuzzy substructures). Identification is then carried out by solving a nonlinear constrained optimization problem. An example is given to illustrate the theoretical results.

Publisher

ASME International

Subject

General Engineering

Reference33 articles.

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2. Cuschieri J. M. , and FeitD., 1995, “Acoustic Scattering from a Fluid-Loaded Elastic Plate with a Distributed Inhomogeneity of Varying Length Scales,” J. Acoust. Soc. Am., Vol. 98, No. 5, pp. 2889–2889.

3. Dyer I. , 1994, “Scattering from Internally Complex Finite Shell Models,” J. Acoust. Soc. Am., Vol. 95, No. 5, pp. 2867–2867.

4. Feit D. , and PierceA. D., 1995, “Vibrations and Acoustical Response of Fuzzy Structures,” J. Acoust. Soc. Am., Vol. 97, No. 1, pp. 705–705.

5. Grace, A., 1992, Optimization Toolbox for Use with Matlab, The Math Works Inc., Natick, MA.

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