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Proceedings Paper

Statistical validation of a plate finite element model for damage detection
Author(s): Luis E. Perez; Carlos M. Ferregut; Cesar J. Carrasco; Thomas L. Paez; Pat Barney; Norman F. Hunter
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Paper Abstract

It is common practice in applied mechanics to develop finite element models for mechanical system behavior. Most structural integrity monitoring techniques, proposed to date, rely on an accurate model of the structure at hand. In many situations the structure being monitored is already built; in those cases, it is good engineering practice to ensure that the finite element model matches the behavior of the physical structure. However, no general-purpose technique exists or formally, statistically judging the quality of the finite element model. This paper applies a formal statistical procedure for the validation of finite element models of structural systems, when data taken during operation of the system are available. The statistical validation procedure is based on the bootstrap, and it seeks to build a tool for assessing whether or not a finite element model is an acceptable representation of the structure. The approach uses experimental data to construct confidence bounds that permit the assessment of the model. The case of a finite element model of an aluminum plate is presented.

Paper Details

Date Published: 23 May 1997
PDF: 11 pages
Proc. SPIE 3043, Smart Structures and Materials 1997: Smart Systems for Bridges, Structures, and Highways, (23 May 1997); doi: 10.1117/12.274638
Show Author Affiliations
Luis E. Perez, Univ. of Texas/El Paso (United States)
Carlos M. Ferregut, Univ. of Texas/El Paso (United States)
Cesar J. Carrasco, Univ. of Texas/El Paso (United States)
Thomas L. Paez, Sandia National Labs. (United States)
Pat Barney, Sandia National Labs. (United States)
Norman F. Hunter, Los Alamos National Lab. (United States)

Published in SPIE Proceedings Vol. 3043:
Smart Structures and Materials 1997: Smart Systems for Bridges, Structures, and Highways
Norris Stubbs, Editor(s)

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