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dc.rights.licenseopenen_US
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorBRÍTEZ, Diego L.
dc.contributor.authorPRIME, Michael B.
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorWERDA, Sana
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorLAHEURTE, Raynald
IDREF: 084745584
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorDARNIS, Philippe
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorCAHUC, Olivier
IDREF: 151236100
dc.date.accessioned2023-03-01T16:11:01Z
dc.date.available2023-03-01T16:11:01Z
dc.date.issued2022-11-08
dc.identifier.issn1475-1305en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/172129
dc.description.abstractEnMany 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.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.enInverse analysis
dc.subject.enResidual stress measurement
dc.subject.enUncertainty estimation
dc.title.enUncertainty reduction in residual stress measurements by an optimised inverse solution using nonconsecutive polynomials
dc.typeArticle de revueen_US
dc.identifier.doi10.1111/str.12430en_US
dc.subject.halSciences de l'ingénieur [physics]/Matériauxen_US
bordeaux.journalStrainen_US
bordeaux.pagee12430en_US
bordeaux.volumen/aen_US
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295en_US
bordeaux.issuen/aen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.institutionINRAEen_US
bordeaux.institutionArts et Métiersen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.exportfalse
dc.rights.ccCC BYen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Strain&rft.date=2022-11-08&rft.volume=n/a&rft.issue=n/a&rft.spage=e12430&rft.epage=e12430&rft.eissn=1475-1305&rft.issn=1475-1305&rft.au=BR%C3%8DTEZ,%20Diego%20L.&PRIME,%20Michael%20B.&WERDA,%20Sana&LAHEURTE,%20Raynald&DARNIS,%20Philippe&rft.genre=article


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