Experimental Validation of an Info-Gap Uncertainty Model for a Robustness Analysis of Structural Responses
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Titre | Experimental Validation of an Info-Gap Uncertainty Model for a Robustness Analysis of Structural Responses |
Type de publication | Journal Article |
Year of Publication | 2020 |
Auteurs | Kuczkowiak A, Cogan S, Ouisse M, Foltete E, Corus M |
Journal | ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART B-MECHANICAL ENGINEERING |
Volume | 6 |
Pagination | 030905 |
Date Published | SEP 1 |
Type of Article | Article |
ISSN | 2332-9017 |
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. |
DOI | 10.1115/1.4047096 |