Robust prediction of full creep curves from minimal data and time to rupture model

Stefan Holmström, Pertti Auerkari

    Research output: Contribution to journalArticleScientificpeer-review

    Abstract

    A description of creep strain evolution is frequently needed in design or life assessment of components subjected to service at high temperatures. Unfortunately, long term creep strain data are not as easily available as rupture data or rupture models. One of the most demanding tasks in this context is to predict the creep behaviour reasonably accurately beyond the range of available data. Much effort has been invested into developing reliable methods to extrapolate creep rupture data, for example in the recommended procedures of the European Creep Collaborative Committee (ECCC) and PD6605 of BSI. However, for strain no such tools are currently available. Here a new and robust creep strain model is suggested to provide the whole creep curves based on the corresponding creep rupture model. This logistic creep strain prediction (LCSP) model defines the creep curve only with three additional parameters to those of the corresponding rupture model. In its basic form the LCSP model optimises a non-linear asymmetric logistic transition function fitted in logarithmic strain against a time temperature parameter (TTP), giving time to specified strain. Unique features of the model include its simple inverted expression for strain and strain rate. The fitting effectiveness of the new method is shown to match all the contesting creep strain models of the ECCC intercomparison activity on a single heat data set of the steel P22 (10CrMo9-10). The model is also shown to produce accurate predictions of the stress to 1% strain up to 100 000 h, when compared to the values given in DIN 17243.
    Original languageEnglish
    Pages (from-to)249-255
    Number of pages7
    JournalEnergy Materials
    Volume1
    Issue number4
    DOIs
    Publication statusPublished - 2006
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    Creep
    Logistics
    Strain rate
    Temperature
    Steel

    Keywords

    • creep
    • strain
    • model
    • ferritic steel
    • ECCC

    Cite this

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    title = "Robust prediction of full creep curves from minimal data and time to rupture model",
    abstract = "A description of creep strain evolution is frequently needed in design or life assessment of components subjected to service at high temperatures. Unfortunately, long term creep strain data are not as easily available as rupture data or rupture models. One of the most demanding tasks in this context is to predict the creep behaviour reasonably accurately beyond the range of available data. Much effort has been invested into developing reliable methods to extrapolate creep rupture data, for example in the recommended procedures of the European Creep Collaborative Committee (ECCC) and PD6605 of BSI. However, for strain no such tools are currently available. Here a new and robust creep strain model is suggested to provide the whole creep curves based on the corresponding creep rupture model. This logistic creep strain prediction (LCSP) model defines the creep curve only with three additional parameters to those of the corresponding rupture model. In its basic form the LCSP model optimises a non-linear asymmetric logistic transition function fitted in logarithmic strain against a time temperature parameter (TTP), giving time to specified strain. Unique features of the model include its simple inverted expression for strain and strain rate. The fitting effectiveness of the new method is shown to match all the contesting creep strain models of the ECCC intercomparison activity on a single heat data set of the steel P22 (10CrMo9-10). The model is also shown to produce accurate predictions of the stress to 1{\%} strain up to 100 000 h, when compared to the values given in DIN 17243.",
    keywords = "creep, strain, model, ferritic steel, ECCC",
    author = "Stefan Holmstr{\"o}m and Pertti Auerkari",
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    year = "2006",
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    Robust prediction of full creep curves from minimal data and time to rupture model. / Holmström, Stefan; Auerkari, Pertti.

    In: Energy Materials, Vol. 1, No. 4, 2006, p. 249-255.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Robust prediction of full creep curves from minimal data and time to rupture model

    AU - Holmström, Stefan

    AU - Auerkari, Pertti

    N1 - Project code: 6900-1.0;3128-1.0;646-G4SU00120

    PY - 2006

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    N2 - A description of creep strain evolution is frequently needed in design or life assessment of components subjected to service at high temperatures. Unfortunately, long term creep strain data are not as easily available as rupture data or rupture models. One of the most demanding tasks in this context is to predict the creep behaviour reasonably accurately beyond the range of available data. Much effort has been invested into developing reliable methods to extrapolate creep rupture data, for example in the recommended procedures of the European Creep Collaborative Committee (ECCC) and PD6605 of BSI. However, for strain no such tools are currently available. Here a new and robust creep strain model is suggested to provide the whole creep curves based on the corresponding creep rupture model. This logistic creep strain prediction (LCSP) model defines the creep curve only with three additional parameters to those of the corresponding rupture model. In its basic form the LCSP model optimises a non-linear asymmetric logistic transition function fitted in logarithmic strain against a time temperature parameter (TTP), giving time to specified strain. Unique features of the model include its simple inverted expression for strain and strain rate. The fitting effectiveness of the new method is shown to match all the contesting creep strain models of the ECCC intercomparison activity on a single heat data set of the steel P22 (10CrMo9-10). The model is also shown to produce accurate predictions of the stress to 1% strain up to 100 000 h, when compared to the values given in DIN 17243.

    AB - A description of creep strain evolution is frequently needed in design or life assessment of components subjected to service at high temperatures. Unfortunately, long term creep strain data are not as easily available as rupture data or rupture models. One of the most demanding tasks in this context is to predict the creep behaviour reasonably accurately beyond the range of available data. Much effort has been invested into developing reliable methods to extrapolate creep rupture data, for example in the recommended procedures of the European Creep Collaborative Committee (ECCC) and PD6605 of BSI. However, for strain no such tools are currently available. Here a new and robust creep strain model is suggested to provide the whole creep curves based on the corresponding creep rupture model. This logistic creep strain prediction (LCSP) model defines the creep curve only with three additional parameters to those of the corresponding rupture model. In its basic form the LCSP model optimises a non-linear asymmetric logistic transition function fitted in logarithmic strain against a time temperature parameter (TTP), giving time to specified strain. Unique features of the model include its simple inverted expression for strain and strain rate. The fitting effectiveness of the new method is shown to match all the contesting creep strain models of the ECCC intercomparison activity on a single heat data set of the steel P22 (10CrMo9-10). The model is also shown to produce accurate predictions of the stress to 1% strain up to 100 000 h, when compared to the values given in DIN 17243.

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    KW - model

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    KW - ECCC

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