Nonlinear numerical simulation of a fracture test with use of optimization for identification of material parameters

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F16%3APU122604" target="_blank" >RIV/00216305:26110/16:PU122604 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Nonlinear numerical simulation of a fracture test with use of optimization for identification of material parameters

Popis výsledku v původním jazyce

The application of a nonlinear description of construction material behaviour in numerical simulations represents a step forward in enabling mathematical modeling methods to ever more closely describe the real actions of structures. This statement is also valid in the case of the numerical modeling of fracture experiments, but in both cases this modeling is complicated by the existence of unknown material parameters for the nonlinear material model. However, fracture experiments provide the opportunity to identify unknown parameters from data that are measured during the performance of such experiments. The submitted article deals with the numerical simulation of a three-point bending test carried out on a concrete specimen. It describes the process by which the inverse identification of material parameters takes place via optimization. The inverse analysis was based on the utilization of a loaddisplacement curve measured during the experiment. The main aim of the article is to present a method describing the inverse identification of parameters from the simulation of a fracture experiment which can then be used in the performance of comprehensive nonlinear simulations of the behaviour of structural details and whole structures anufactured from concrete.

Název v anglickém jazyce

Nonlinear numerical simulation of a fracture test with use of optimization for identification of material parameters

Popis výsledku anglicky

The application of a nonlinear description of construction material behaviour in numerical simulations represents a step forward in enabling mathematical modeling methods to ever more closely describe the real actions of structures. This statement is also valid in the case of the numerical modeling of fracture experiments, but in both cases this modeling is complicated by the existence of unknown material parameters for the nonlinear material model. However, fracture experiments provide the opportunity to identify unknown parameters from data that are measured during the performance of such experiments. The submitted article deals with the numerical simulation of a three-point bending test carried out on a concrete specimen. It describes the process by which the inverse identification of material parameters takes place via optimization. The inverse analysis was based on the utilization of a loaddisplacement curve measured during the experiment. The main aim of the article is to present a method describing the inverse identification of parameters from the simulation of a fracture experiment which can then be used in the performance of comprehensive nonlinear simulations of the behaviour of structural details and whole structures anufactured from concrete.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

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OECD FORD obor

20102 - Construction engineering, Municipal and structural engineering

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)

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

International Journal of Mechanics

ISSN

1998-4448

e-ISSN

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Svazek periodika

2016

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

8

Strana od-do

159-166

Kód UT WoS článku

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EID výsledku v databázi Scopus

2-s2.0-84964077851