Using the inverse identification of parameters of a nonlinear concrete material model for analysis of RC structural element

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F19%3APU135802" target="_blank" >RIV/00216305:26110/19:PU135802 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1063/1.5114111" target="_blank" >http://dx.doi.org/10.1063/1.5114111</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1063/1.5114111" target="_blank" >10.1063/1.5114111</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Using the inverse identification of parameters of a nonlinear concrete material model for analysis of RC structural element

Popis výsledku v původním jazyce

Finite element (FE) analyses of reinforced concrete (RC) structures or structural elements using nonlinear concrete material models are currently a subject of interest for many scientific institutions or departments. Obtaining of relevant results from such analyses depends on a number of aspects, including (for example) the level of complexity of the computational model used, correct boundary conditions, the correct definition of parameter values of the material models used, etc. A key aspect from the above-mentioned aspects is especially the problematic of the definition of correct parameter values of the used material models. Defining the correct parameter values of the material models is often a very difficult task because we usually do not have enough knowledges about the given parameters or their possible ranges. However, the current level of computational technology combined with the current state of knowledge in the fields of mathematical statistics, artificial neural networks and optimization allows us to successfully deal with the given task by so called inverse identification of parameters whose correct numerical values we need to obtain. The aim of this paper is to show the possibility of using the optimization-based inverse identification of parameter values of a nonlinear concrete material model for FE analysis of structural element which is a high RC beam subjected to a four-point bending. For this purpose, the results of the corresponding experiment are used.

Název v anglickém jazyce

Using the inverse identification of parameters of a nonlinear concrete material model for analysis of RC structural element

Popis výsledku anglicky

Finite element (FE) analyses of reinforced concrete (RC) structures or structural elements using nonlinear concrete material models are currently a subject of interest for many scientific institutions or departments. Obtaining of relevant results from such analyses depends on a number of aspects, including (for example) the level of complexity of the computational model used, correct boundary conditions, the correct definition of parameter values of the material models used, etc. A key aspect from the above-mentioned aspects is especially the problematic of the definition of correct parameter values of the used material models. Defining the correct parameter values of the material models is often a very difficult task because we usually do not have enough knowledges about the given parameters or their possible ranges. However, the current level of computational technology combined with the current state of knowledge in the fields of mathematical statistics, artificial neural networks and optimization allows us to successfully deal with the given task by so called inverse identification of parameters whose correct numerical values we need to obtain. The aim of this paper is to show the possibility of using the optimization-based inverse identification of parameter values of a nonlinear concrete material model for FE analysis of structural element which is a high RC beam subjected to a four-point bending. For this purpose, the results of the corresponding experiment are used.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20101 - Civil engineering

Projekt

<a href="/cs/project/GA17-23578S" target="_blank" >GA17-23578S: Identifikace míry poškození vyztuženého betonu při extrémním zatížení</a><br>

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

AIP Conference Proceedings

ISBN

—

ISSN

1551-7616

e-ISSN

—

Počet stran výsledku

4

Strana od-do

1-4

Název nakladatele

Neuveden

Místo vydání

Neuveden

Místo konání akce

Ixia, Rhodes

Datum konání akce

13. 9. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000521108600122