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Article Dans Une Revue Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering Année : 2020

Experimental validation of an info-gap uncertainty model for a robustness analysis of structural responses

Résumé

The aim of this work is to propose an indicator, based on the info-gap approach, which assesses the robustness of the dynamic response of the model of a structure to lack of knowledge in the associated eigensolutions. The info-gap uncertainty model for the eigensolutions is constructed mode by mode based on a set of experimentally identified eigensolutions obtained from tests on a set of nominally identical structures. A robustness analysis is then performed, which provides a useful bound to the maximum response levels that are consistent with the defined uncertainty, thus allowing to extrapolate to a population of untested structures. The proposed methodology is validated experimentally on a simple structure composed of two plates clamped together on one side. Uncertainty is introduced by adding lumped masses at random locations. A subset of these test results is used to construct the info-gap model of the eigenproperties and the remaining data are used to confirm that the robustness curve usefully bounds the observed maximum responses.
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Dates et versions

hal-02993927 , version 1 (07-11-2020)

Identifiants

Citer

Antoine Kuczkowiak, Scott Cogan, Morvan Ouisse, Emmanuel Foltête, Mathieu Corus. Experimental validation of an info-gap uncertainty model for a robustness analysis of structural responses. Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 2020, 6, pp.11. ⟨10.1115/1.4047096⟩. ⟨hal-02993927⟩
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