Long term stress relaxation modelling

Stefan Holmström, Pertti Auerkari, V. Friedmann, A. Klenk, B. Leibing, P. Buhl, M. Spindler, A. Riva

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

    Abstract

    Data assessments, materials modelling and development as well as recommendations for model selection have been a main objective of the ECCC Working Group 1. This paper describes the latest inter-comparison round robin on relaxation modelling. Most models found in the public domain are limited in either strain range or temperature. Here the bolting steel 1Cr-0.5Mo-0.25V steel tested by NIMS, Japan is assessed by a number of assessors striving to define models capable of predicting the relaxation in the full data range, i.e. in both strain (0.1-0.25% total strain) and temperature (450-550°C). The assessors use methods of their own preference giving all model parameters to enable interpolation/extrapolation and calculation of prediction errors within the range of data. The methods include forward creep with different creep strain models as base, classical relaxation models, parametric (Time-Temperature-Parameter curve families) solutions and entirely new modelling approaches. The main target is the general overall model for prediction of relaxed stress up to 3 000 h hold time. However, the model robustness is tested by fitting to a drastically culled data set consisting of only the short term data with durations of 0.1 to 10h. The predictive performance of the models optimised for the short term data are compared with the long term data as well as the long term models. Conclusions and recommendations are given on model interpolation performance, extrapolation ability and model complexity.
    Original languageEnglish
    Title of host publicationECCC 2014 Conference Proceedings
    Number of pages15
    Publication statusPublished - 2014
    MoE publication typeA4 Article in a conference publication
    Event3rd International ECCC Conference, ECCC 2014: ECCC 2014 Creep & Fracture in High Temperature Components, Design & Life Assessment - Rome, Italy
    Duration: 5 May 20147 May 2014
    Conference number: 3

    Conference

    Conference3rd International ECCC Conference, ECCC 2014
    Abbreviated titleECCC 2014
    CountryItaly
    CityRome
    Period5/05/147/05/14

    Fingerprint

    modeling
    creep
    interpolation
    steel
    temperature
    prediction
    recommendation
    method
    parameter

    Keywords

    • stress relaxation
    • modelling

    Cite this

    Holmström, S., Auerkari, P., Friedmann, V., Klenk, A., Leibing, B., Buhl, P., ... Riva, A. (2014). Long term stress relaxation modelling. In ECCC 2014 Conference Proceedings
    Holmström, Stefan ; Auerkari, Pertti ; Friedmann, V. ; Klenk, A. ; Leibing, B. ; Buhl, P. ; Spindler, M. ; Riva, A. / Long term stress relaxation modelling. ECCC 2014 Conference Proceedings. 2014.
    @inproceedings{fd02b3ec748645f8bb9186066759fd2d,
    title = "Long term stress relaxation modelling",
    abstract = "Data assessments, materials modelling and development as well as recommendations for model selection have been a main objective of the ECCC Working Group 1. This paper describes the latest inter-comparison round robin on relaxation modelling. Most models found in the public domain are limited in either strain range or temperature. Here the bolting steel 1Cr-0.5Mo-0.25V steel tested by NIMS, Japan is assessed by a number of assessors striving to define models capable of predicting the relaxation in the full data range, i.e. in both strain (0.1-0.25{\%} total strain) and temperature (450-550°C). The assessors use methods of their own preference giving all model parameters to enable interpolation/extrapolation and calculation of prediction errors within the range of data. The methods include forward creep with different creep strain models as base, classical relaxation models, parametric (Time-Temperature-Parameter curve families) solutions and entirely new modelling approaches. The main target is the general overall model for prediction of relaxed stress up to 3 000 h hold time. However, the model robustness is tested by fitting to a drastically culled data set consisting of only the short term data with durations of 0.1 to 10h. The predictive performance of the models optimised for the short term data are compared with the long term data as well as the long term models. Conclusions and recommendations are given on model interpolation performance, extrapolation ability and model complexity.",
    keywords = "stress relaxation, modelling",
    author = "Stefan Holmstr{\"o}m and Pertti Auerkari and V. Friedmann and A. Klenk and B. Leibing and P. Buhl and M. Spindler and A. Riva",
    year = "2014",
    language = "English",
    booktitle = "ECCC 2014 Conference Proceedings",

    }

    Holmström, S, Auerkari, P, Friedmann, V, Klenk, A, Leibing, B, Buhl, P, Spindler, M & Riva, A 2014, Long term stress relaxation modelling. in ECCC 2014 Conference Proceedings. 3rd International ECCC Conference, ECCC 2014, Rome, Italy, 5/05/14.

    Long term stress relaxation modelling. / Holmström, Stefan; Auerkari, Pertti; Friedmann, V.; Klenk, A.; Leibing, B.; Buhl, P.; Spindler, M.; Riva, A.

    ECCC 2014 Conference Proceedings. 2014.

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

    TY - GEN

    T1 - Long term stress relaxation modelling

    AU - Holmström, Stefan

    AU - Auerkari, Pertti

    AU - Friedmann, V.

    AU - Klenk, A.

    AU - Leibing, B.

    AU - Buhl, P.

    AU - Spindler, M.

    AU - Riva, A.

    PY - 2014

    Y1 - 2014

    N2 - Data assessments, materials modelling and development as well as recommendations for model selection have been a main objective of the ECCC Working Group 1. This paper describes the latest inter-comparison round robin on relaxation modelling. Most models found in the public domain are limited in either strain range or temperature. Here the bolting steel 1Cr-0.5Mo-0.25V steel tested by NIMS, Japan is assessed by a number of assessors striving to define models capable of predicting the relaxation in the full data range, i.e. in both strain (0.1-0.25% total strain) and temperature (450-550°C). The assessors use methods of their own preference giving all model parameters to enable interpolation/extrapolation and calculation of prediction errors within the range of data. The methods include forward creep with different creep strain models as base, classical relaxation models, parametric (Time-Temperature-Parameter curve families) solutions and entirely new modelling approaches. The main target is the general overall model for prediction of relaxed stress up to 3 000 h hold time. However, the model robustness is tested by fitting to a drastically culled data set consisting of only the short term data with durations of 0.1 to 10h. The predictive performance of the models optimised for the short term data are compared with the long term data as well as the long term models. Conclusions and recommendations are given on model interpolation performance, extrapolation ability and model complexity.

    AB - Data assessments, materials modelling and development as well as recommendations for model selection have been a main objective of the ECCC Working Group 1. This paper describes the latest inter-comparison round robin on relaxation modelling. Most models found in the public domain are limited in either strain range or temperature. Here the bolting steel 1Cr-0.5Mo-0.25V steel tested by NIMS, Japan is assessed by a number of assessors striving to define models capable of predicting the relaxation in the full data range, i.e. in both strain (0.1-0.25% total strain) and temperature (450-550°C). The assessors use methods of their own preference giving all model parameters to enable interpolation/extrapolation and calculation of prediction errors within the range of data. The methods include forward creep with different creep strain models as base, classical relaxation models, parametric (Time-Temperature-Parameter curve families) solutions and entirely new modelling approaches. The main target is the general overall model for prediction of relaxed stress up to 3 000 h hold time. However, the model robustness is tested by fitting to a drastically culled data set consisting of only the short term data with durations of 0.1 to 10h. The predictive performance of the models optimised for the short term data are compared with the long term data as well as the long term models. Conclusions and recommendations are given on model interpolation performance, extrapolation ability and model complexity.

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    KW - modelling

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    ER -

    Holmström S, Auerkari P, Friedmann V, Klenk A, Leibing B, Buhl P et al. Long term stress relaxation modelling. In ECCC 2014 Conference Proceedings. 2014