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Jun 20, 2012

Multiple-Model Updating to Improve Knowledge of Structural System Behavior

Publication: Structures Congress 2006: 17th Analysis and Computation Specialty Conference

Abstract

A system identification and model updating methodology that accounts for factors influencing the reliability of identification is proposed. An important aspect of this methodology is the generation of a population of candidate models. This paper presents an analysis of error sources that are used to define model populations. To interpret these populations we use data mining techniques such as correlation measurements and principal components analysis. These methods are useful for estimating the reliability of system identification when the number of candidate models is high.

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Go to Structures Congress 2006
Structures Congress 2006: 17th Analysis and Computation Specialty Conference
Pages: 1 - 10

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Published online: Jun 20, 2012

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Ian F. C. Smith [email protected]
Ecole Polytechnique Fédérale de Lausanne, Station 18, 1015 Lausanne, Switzerland. E-mail: [email protected]
Sandro Saitta [email protected]
Ecole Polytechnique Fédérale de Lausanne, Station 18, 1015 Lausanne, Switzerland. E-mail: [email protected]

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