BRÍTEZ, Diego L.; PRIME, Michael B.; WERDA, Sana; LAHEURTE, Raynald; DARNIS, Philippe; CAHUC, Olivier

doi:10.1111/str.12430

BRÍTEZ, Diego L.
Institut de Mécanique et d'Ingénierie [I2M]

PRIME, Michael B.

WERDA, Sana
Institut de Mécanique et d'Ingénierie [I2M]

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Article de revue

Ce document a été publié dans

Strain. 2022-11-08, vol. n/a, n° n/a, p. e12430

Résumé en anglais

Many destructive methods for measuring residual stresses such as the slitting method require an inverse analysis to solve the problem. The accuracy of the result as well as an uncertainty component (the model uncertainty) depends on the basis functions used in the inverse solution. The use of a series expansion as the basis functions for the inverse solution was analysed in a previous work for the particular case where functions orders grew consecutively. The present work presents a new estimation of the model uncertainty and a new improved methodology to select the final basis functions for the case where the basis is composed of polynomials. Including nonconsecutive polynomial orders in the basis generates a larger space of possible solutions to be evaluated and allows the possibility to include higher-order polynomials. The paper includes a comparison with two other inverse analyses methodologies applied to synthetically generated data. With the new methodology, the final error is reduced and the uncertainty estimation improved.< Réduire

Mots clés en anglais

Inverse analysis

Residual stress measurement

Uncertainty estimation

URI

https://oskar-bordeaux.fr/handle/20.500.12278/172129

DOI

http://dx.doi.org/10.1111/str.12430

Unités de recherche

Institut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295

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Uncertainty reduction in residual stress measurements by an optimised inverse solution using nonconsecutive polynomials

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