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Material model identification from set of experiments and validation by DIC

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27120%2F21%3A10247510" target="_blank" >RIV/61989100:27120/21:10247510 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27230/21:10247510

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0378475421001257" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0378475421001257</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.matcom.2021.04.007" target="_blank" >10.1016/j.matcom.2021.04.007</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Material model identification from set of experiments and validation by DIC

  • Original language description

    A methodology for calibration and validation of material models using more simultaneous experiments is presented. The procedure contains the selection of suitable parameters for identification using a sensitivity analysis, parameters identification, analysis of usability of the material model, and validation of the material model. Three elastoplastic models are evaluated in this study: the bilinear isotropic hardening model with Von Mises yield condition, the bilinear isotropic hardening model with the Hill anisotropic yield condition, and the nonlinear isotropic hardening model with Hill anisotropic yield condition. Five proportional as well as nonproportional monotonic loading experiments conducted on aluminium alloy 2124-T851 are used for the presentation of the inverse approach application, whereas four of them are the source of identification. The validation of calibrated material models is done based on the strain field measurement realised by the Digital Image Correlation method. The nonlinear isotropic hardening rule together with Hill yield condition brings the best description of stress-strain behaviour of the material under investigation. (C) 2021 International Association for Mathematics and Computers in Simulation (IMACS)

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20500 - Materials engineering

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Mathematics and computers in simulation

  • ISSN

    0378-4754

  • e-ISSN

    1872-7166

  • Volume of the periodical

    Volume 189

  • Issue of the periodical within the volume

    November 2021

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    29

  • Pages from-to

    339-367

  • UT code for WoS article

    000683684700023

  • EID of the result in the Scopus database

    2-s2.0-85106271127