Material model identification from set of experiments and validation by DIC

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F21%3A10247510" target="_blank" >RIV/61989100:27230/21:10247510 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27120/21:10247510

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Material model identification from set of experiments and validation by DIC

Popis výsledku v původním jazyce

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)

Název v anglickém jazyce

Material model identification from set of experiments and validation by DIC

Popis výsledku anglicky

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)

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20500 - Materials engineering

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Mathematics and computers in simulation

ISSN

0378-4754

e-ISSN

—

Svazek periodika

Volume 189

Číslo periodika v rámci svazku

November 2021

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

29

Strana od-do

339-367

Kód UT WoS článku

000683684700023

EID výsledku v databázi Scopus

2-s2.0-85106271127