Parameter Identification for a Multivariable Nonlinear Constitutive Model inside ANSYS Workbench
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F16%3APU122603" target="_blank" >RIV/00216305:26110/16:PU122603 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1016/j.proeng.2016.08.743" target="_blank" >http://dx.doi.org/10.1016/j.proeng.2016.08.743</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.proeng.2016.08.743" target="_blank" >10.1016/j.proeng.2016.08.743</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Parameter Identification for a Multivariable Nonlinear Constitutive Model inside ANSYS Workbench
Popis výsledku v původním jazyce
This contribution aims to describe the process of the inverse identification of the parameters of a nonlinear material model from experimentally obtained data. This process takes place with the aid of approaches utilizing optimization procedures based on population methods which are currently implemented in the ANSYS Workbench environment. The input data for the described numerical procedure took the form of the points of a load-displacement curve which was measured during the performance of a three-point bending test on a concrete beam. This experiment was numerically simulated via the finite element method with the use of the Menétrey-Willam nonlinear material model. Great attention is paid to the description of the sensitivity analysis and the parameter correlation performed with the utilization of a programmed script that enables the correct understanding of the used material model. Emphasis is therefore placed on the analysis of individual parameters whose understanding and correct setting have a significant influence on the convergence of the nonlinear solution. The basic principle of the identification by optimization is the minimization of the difference between experimentally and numerically obtained load-displacement curves. However,
Název v anglickém jazyce
Parameter Identification for a Multivariable Nonlinear Constitutive Model inside ANSYS Workbench
Popis výsledku anglicky
This contribution aims to describe the process of the inverse identification of the parameters of a nonlinear material model from experimentally obtained data. This process takes place with the aid of approaches utilizing optimization procedures based on population methods which are currently implemented in the ANSYS Workbench environment. The input data for the described numerical procedure took the form of the points of a load-displacement curve which was measured during the performance of a three-point bending test on a concrete beam. This experiment was numerically simulated via the finite element method with the use of the Menétrey-Willam nonlinear material model. Great attention is paid to the description of the sensitivity analysis and the parameter correlation performed with the utilization of a programmed script that enables the correct understanding of the used material model. Emphasis is therefore placed on the analysis of individual parameters whose understanding and correct setting have a significant influence on the convergence of the nonlinear solution. The basic principle of the identification by optimization is the minimization of the difference between experimentally and numerically obtained load-displacement curves. However,
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20102 - Construction engineering, Municipal and structural engineering
Návaznosti výsledku
Projekt
<a href="/cs/project/GA14-25320S" target="_blank" >GA14-25320S: Aspekty použití komplexních nelineárních materiálových modelů</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
World Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium, WMCAUS 2016
ISBN
—
ISSN
1877-7058
e-ISSN
—
Počet stran výsledku
6
Strana od-do
892-897
Název nakladatele
Neuveden
Místo vydání
Praha, Česká republika
Místo konání akce
Praha
Datum konání akce
13. 6. 2016
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000387566500140