Parameter identification in elastoplastic material models by Small Punch Tests and inverse analysis with model reduction
Само за регистроване кориснике
2018
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Small Punch Tests (SPT) are, at present, frequently employed for diagnostic analyses of metallic structural components and are considered in codes of practice because the damage generated by miniature specimen extraction is small (quasi-non-destructive tests). This paper contains a description of the following contributions for improvement in the state-of-the-art of SPT practice: assessment of material parameters through inverse analysis, made faster and more economical by employing model reduction through a Proper Orthogonal Decomposition (POD) procedure. The methodology is developed to assess material parameters entering into diverse constitutive models, thus resulting in a more flexible identification framework, capable of addressing different kinds of material behaviour. Within the paper, real experimental data are used and comparisons of computed stress-strain curves with experimentally measured ones, through typical tensile tests, show an excellent agreement.
Кључне речи:
Structural diagnosis / Small Punch Test / Proper Orthogonal Decomposition / Material characterization / Inverse analysis / Elastoplastic parameters identificationИзвор:
Meccanica, 2018, 53, 15, 3815-3829Издавач:
- Springer, Dordrecht
Финансирање / пројекти:
- European Union under REA grant [PITN-GA-2013-606878]
- Italian National Academy Accademia Nazionale dei Lincei, Centro Linceo Interdisciplinare "Beniamino Segre"
DOI: 10.1007/s11012-018-0914-3
ISSN: 0025-6455
WoS: 000450517500013
Scopus: 2-s2.0-85056330007
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Buljak, Vladimir AU - Cocchetti, Giuseppe AU - Cornaggia, Aram AU - Maier, Giulio PY - 2018 UR - https://machinery.mas.bg.ac.rs/handle/123456789/2895 AB - Small Punch Tests (SPT) are, at present, frequently employed for diagnostic analyses of metallic structural components and are considered in codes of practice because the damage generated by miniature specimen extraction is small (quasi-non-destructive tests). This paper contains a description of the following contributions for improvement in the state-of-the-art of SPT practice: assessment of material parameters through inverse analysis, made faster and more economical by employing model reduction through a Proper Orthogonal Decomposition (POD) procedure. The methodology is developed to assess material parameters entering into diverse constitutive models, thus resulting in a more flexible identification framework, capable of addressing different kinds of material behaviour. Within the paper, real experimental data are used and comparisons of computed stress-strain curves with experimentally measured ones, through typical tensile tests, show an excellent agreement. PB - Springer, Dordrecht T2 - Meccanica T1 - Parameter identification in elastoplastic material models by Small Punch Tests and inverse analysis with model reduction EP - 3829 IS - 15 SP - 3815 VL - 53 DO - 10.1007/s11012-018-0914-3 ER -
@article{ author = "Buljak, Vladimir and Cocchetti, Giuseppe and Cornaggia, Aram and Maier, Giulio", year = "2018", abstract = "Small Punch Tests (SPT) are, at present, frequently employed for diagnostic analyses of metallic structural components and are considered in codes of practice because the damage generated by miniature specimen extraction is small (quasi-non-destructive tests). This paper contains a description of the following contributions for improvement in the state-of-the-art of SPT practice: assessment of material parameters through inverse analysis, made faster and more economical by employing model reduction through a Proper Orthogonal Decomposition (POD) procedure. The methodology is developed to assess material parameters entering into diverse constitutive models, thus resulting in a more flexible identification framework, capable of addressing different kinds of material behaviour. Within the paper, real experimental data are used and comparisons of computed stress-strain curves with experimentally measured ones, through typical tensile tests, show an excellent agreement.", publisher = "Springer, Dordrecht", journal = "Meccanica", title = "Parameter identification in elastoplastic material models by Small Punch Tests and inverse analysis with model reduction", pages = "3829-3815", number = "15", volume = "53", doi = "10.1007/s11012-018-0914-3" }
Buljak, V., Cocchetti, G., Cornaggia, A.,& Maier, G.. (2018). Parameter identification in elastoplastic material models by Small Punch Tests and inverse analysis with model reduction. in Meccanica Springer, Dordrecht., 53(15), 3815-3829. https://doi.org/10.1007/s11012-018-0914-3
Buljak V, Cocchetti G, Cornaggia A, Maier G. Parameter identification in elastoplastic material models by Small Punch Tests and inverse analysis with model reduction. in Meccanica. 2018;53(15):3815-3829. doi:10.1007/s11012-018-0914-3 .
Buljak, Vladimir, Cocchetti, Giuseppe, Cornaggia, Aram, Maier, Giulio, "Parameter identification in elastoplastic material models by Small Punch Tests and inverse analysis with model reduction" in Meccanica, 53, no. 15 (2018):3815-3829, https://doi.org/10.1007/s11012-018-0914-3 . .