Predicting creep strain response from rupture data and a robust creep curve model

Stefan Holmström, Pertti Auerkari, Stuart Holdsworth

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

    1 Citation (Scopus)

    Abstract

    Creep strain evolution plays a critical role in design and in life assessment of components subjected to service at high temperatures. For instance in turbines, boilers and steam pipes the recommended limits are 1% or 2% of strain. Unfortunately, straightforward engineering methodologies for predicting long term creep strain are not readily available. Robust methods for creep rupture extrapolation have been developed for example in the recommended procedures of the European Creep Collaborative Committee (ECCC) and PD6605 of BSI. The recently developed logistic creep strain prediction (LCSP) model transfers robustness into creep strain modelling. The LCSP model is directly linked to the rupture model and applies a small set of creep curve shape parameters to adjust primary, secondary and tertiary creep properties. The stress and temperature dependence of these shape parameters is optimised by fitting the available strain data. In this work the LCSP model was acquired for P22 steel from a small data set (max 3000 h) together with standard data for time to 1% strain. The model was then used to predict time to strain (0.5 to 5%) for two other P22 data sets using only true time to rupture. The model was also inversely applied to predict time to rupture from values of time to given strain for one of the data sets. The approach appears to be very competitive in spite of its simplicity, and is thought to hold considerable promise for e.g. creep modelling of new materials and welds, and when using FEA in creep analysis.
    Original languageEnglish
    Title of host publicationBALTICA VII - Life Management and Maintenance for Power Plants. Vol. 1
    Place of PublicationEspoo
    PublisherVTT Technical Research Centre of Finland
    Pages185-195
    ISBN (Electronic)978-951-38-6316-6
    ISBN (Print)978-951-38-6315-9
    Publication statusPublished - 2007
    MoE publication typeB3 Non-refereed article in conference proceedings
    EventBALTICA VII - International Conference on Life Management and Main-tenance for Power Plants - Helsinki-Stockholm, Finland
    Duration: 12 Jun 200714 Jun 2007

    Publication series

    SeriesVTT Symposium
    Number246
    ISSN0357-9387

    Conference

    ConferenceBALTICA VII - International Conference on Life Management and Main-tenance for Power Plants
    CountryFinland
    CityHelsinki-Stockholm
    Period12/06/0714/06/07

    Fingerprint

    Creep
    Logistics
    Extrapolation
    Boilers
    Welds
    Turbines
    Steam
    Pipe
    Finite element method
    Temperature
    Steel

    Cite this

    Holmström, S., Auerkari, P., & Holdsworth, S. (2007). Predicting creep strain response from rupture data and a robust creep curve model. In BALTICA VII - Life Management and Maintenance for Power Plants. Vol. 1 (pp. 185-195). Espoo: VTT Technical Research Centre of Finland. VTT Symposium, No. 246
    Holmström, Stefan ; Auerkari, Pertti ; Holdsworth, Stuart. / Predicting creep strain response from rupture data and a robust creep curve model. BALTICA VII - Life Management and Maintenance for Power Plants. Vol. 1. Espoo : VTT Technical Research Centre of Finland, 2007. pp. 185-195 (VTT Symposium; No. 246).
    @inproceedings{2eb12317f3e14961998c43c19052307a,
    title = "Predicting creep strain response from rupture data and a robust creep curve model",
    abstract = "Creep strain evolution plays a critical role in design and in life assessment of components subjected to service at high temperatures. For instance in turbines, boilers and steam pipes the recommended limits are 1{\%} or 2{\%} of strain. Unfortunately, straightforward engineering methodologies for predicting long term creep strain are not readily available. Robust methods for creep rupture extrapolation have been developed for example in the recommended procedures of the European Creep Collaborative Committee (ECCC) and PD6605 of BSI. The recently developed logistic creep strain prediction (LCSP) model transfers robustness into creep strain modelling. The LCSP model is directly linked to the rupture model and applies a small set of creep curve shape parameters to adjust primary, secondary and tertiary creep properties. The stress and temperature dependence of these shape parameters is optimised by fitting the available strain data. In this work the LCSP model was acquired for P22 steel from a small data set (max 3000 h) together with standard data for time to 1{\%} strain. The model was then used to predict time to strain (0.5 to 5{\%}) for two other P22 data sets using only true time to rupture. The model was also inversely applied to predict time to rupture from values of time to given strain for one of the data sets. The approach appears to be very competitive in spite of its simplicity, and is thought to hold considerable promise for e.g. creep modelling of new materials and welds, and when using FEA in creep analysis.",
    author = "Stefan Holmstr{\"o}m and Pertti Auerkari and Stuart Holdsworth",
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    Holmström, S, Auerkari, P & Holdsworth, S 2007, Predicting creep strain response from rupture data and a robust creep curve model. in BALTICA VII - Life Management and Maintenance for Power Plants. Vol. 1. VTT Technical Research Centre of Finland, Espoo, VTT Symposium, no. 246, pp. 185-195, BALTICA VII - International Conference on Life Management and Main-tenance for Power Plants, Helsinki-Stockholm, Finland, 12/06/07.

    Predicting creep strain response from rupture data and a robust creep curve model. / Holmström, Stefan; Auerkari, Pertti; Holdsworth, Stuart.

    BALTICA VII - Life Management and Maintenance for Power Plants. Vol. 1. Espoo : VTT Technical Research Centre of Finland, 2007. p. 185-195 (VTT Symposium; No. 246).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

    TY - GEN

    T1 - Predicting creep strain response from rupture data and a robust creep curve model

    AU - Holmström, Stefan

    AU - Auerkari, Pertti

    AU - Holdsworth, Stuart

    PY - 2007

    Y1 - 2007

    N2 - Creep strain evolution plays a critical role in design and in life assessment of components subjected to service at high temperatures. For instance in turbines, boilers and steam pipes the recommended limits are 1% or 2% of strain. Unfortunately, straightforward engineering methodologies for predicting long term creep strain are not readily available. Robust methods for creep rupture extrapolation have been developed for example in the recommended procedures of the European Creep Collaborative Committee (ECCC) and PD6605 of BSI. The recently developed logistic creep strain prediction (LCSP) model transfers robustness into creep strain modelling. The LCSP model is directly linked to the rupture model and applies a small set of creep curve shape parameters to adjust primary, secondary and tertiary creep properties. The stress and temperature dependence of these shape parameters is optimised by fitting the available strain data. In this work the LCSP model was acquired for P22 steel from a small data set (max 3000 h) together with standard data for time to 1% strain. The model was then used to predict time to strain (0.5 to 5%) for two other P22 data sets using only true time to rupture. The model was also inversely applied to predict time to rupture from values of time to given strain for one of the data sets. The approach appears to be very competitive in spite of its simplicity, and is thought to hold considerable promise for e.g. creep modelling of new materials and welds, and when using FEA in creep analysis.

    AB - Creep strain evolution plays a critical role in design and in life assessment of components subjected to service at high temperatures. For instance in turbines, boilers and steam pipes the recommended limits are 1% or 2% of strain. Unfortunately, straightforward engineering methodologies for predicting long term creep strain are not readily available. Robust methods for creep rupture extrapolation have been developed for example in the recommended procedures of the European Creep Collaborative Committee (ECCC) and PD6605 of BSI. The recently developed logistic creep strain prediction (LCSP) model transfers robustness into creep strain modelling. The LCSP model is directly linked to the rupture model and applies a small set of creep curve shape parameters to adjust primary, secondary and tertiary creep properties. The stress and temperature dependence of these shape parameters is optimised by fitting the available strain data. In this work the LCSP model was acquired for P22 steel from a small data set (max 3000 h) together with standard data for time to 1% strain. The model was then used to predict time to strain (0.5 to 5%) for two other P22 data sets using only true time to rupture. The model was also inversely applied to predict time to rupture from values of time to given strain for one of the data sets. The approach appears to be very competitive in spite of its simplicity, and is thought to hold considerable promise for e.g. creep modelling of new materials and welds, and when using FEA in creep analysis.

    M3 - Conference article in proceedings

    SN - 978-951-38-6315-9

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    SP - 185

    EP - 195

    BT - BALTICA VII - Life Management and Maintenance for Power Plants. Vol. 1

    PB - VTT Technical Research Centre of Finland

    CY - Espoo

    ER -

    Holmström S, Auerkari P, Holdsworth S. Predicting creep strain response from rupture data and a robust creep curve model. In BALTICA VII - Life Management and Maintenance for Power Plants. Vol. 1. Espoo: VTT Technical Research Centre of Finland. 2007. p. 185-195. (VTT Symposium; No. 246).