On a strategy of reduction of the lack of knowledge (LOK) in model validation

Abstract : The quantification of the quality of a structural mechanical model remains a major issue today, with the use of an increasing number of methods in order to validate a model in comparison with an experimental reference. This paper presents a new theory based on the concept of Lack of Knowledge combining convex uncertainty models with probabilistic features by introducing for each substructure two bounds of the strain energy as stochastic variables. A general strategy of reduction of the lack of knowledge is discussed and applied to academic as well as industrial cases.
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Contributor : Guillaume Puel <>
Submitted on : Saturday, February 23, 2008 - 11:30:54 AM
Last modification on : Friday, May 17, 2019 - 1:22:57 AM

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  • HAL Id : hal-00258650, version 1

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Pierre Ladevèze, Guillaume Puel, Thierry Romeuf. On a strategy of reduction of the lack of knowledge (LOK) in model validation. SAMO 2004 - 4th International Conference on Sensitivity Analysis of Model Output, 2004, Santa Fe, United States. pp.CD-ROM. ⟨hal-00258650⟩

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