Assessment of master curve material inhomogeneity using small data sets

Kim Wallin

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Abstract

    The standard Master Curve (MC) deals only with materials assumed to be homogeneous, but MC analysis methods for inhomogeneous materials have also been developed. Especially the bi-modal and multi-modal analysis methods are becoming more and more standard. Their drawback is that these methods are generally reliable only with sufficiently large data sets (number of valid tests, r = 15 - 20). Here, the possibility of using the multi-modal analysis method with smaller data sets is assessed, and a new procedure to conservatively account for possible inhomogeneities is proposed.

    Original languageEnglish
    Title of host publicationProceedings of the ASME 2018 Pressure Vessels and Piping Conference
    Subtitle of host publicationCodes and Standards
    PublisherAmerican Society of Mechanical Engineers ASME
    Volume1A
    ISBN (Electronic)978-0-7918-5158-6
    DOIs
    Publication statusPublished - 2018
    MoE publication typeNot Eligible
    EventASME 2018 Pressure Vessels and Piping Conference, PVP2018 - Hotel Hilton, Prague, Czech Republic
    Duration: 15 Jul 201820 Jul 2018
    Conference number: 52

    Conference

    ConferenceASME 2018 Pressure Vessels and Piping Conference, PVP2018
    Abbreviated titlePVP2018
    CountryCzech Republic
    CityPrague
    Period15/07/1820/07/18

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    Cite this

    Wallin, K. (2018). Assessment of master curve material inhomogeneity using small data sets. In Proceedings of the ASME 2018 Pressure Vessels and Piping Conference: Codes and Standards (Vol. 1A). [PVP2018-84297] American Society of Mechanical Engineers ASME. https://doi.org/10.1115/PVP2018-84297