Optimization-Based Inverse Identification of the Parameters of a Concrete Cap Material Model

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F17%3APU127128" target="_blank" >RIV/00216305:26110/17:PU127128 - isvavai.cz</a>

Result on the web

<a href="http://iopscience.iop.org/article/10.1088/1757-899X/245/3/032078" target="_blank" >http://iopscience.iop.org/article/10.1088/1757-899X/245/3/032078</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1088/1757-899X/245/3/032078" target="_blank" >10.1088/1757-899X/245/3/032078</a>

Result language

angličtina

Original language name

Optimization-Based Inverse Identification of the Parameters of a Concrete Cap Material Model

Original language description

Issues concerning the advanced numerical analysis of concrete building structures in sophisticated computing systems currently require the involvement of nonlinear mechanics tools. The efforts to design safer, more durable and mainly more economically efficient concrete structures are supported via the use of advanced nonlinear concrete material models and the geometrically nonlinear approach. The application of nonlinear mechanics tools undoubtedly presents another step towards the approximation of the real behaviour of concrete building structures within the framework of computer numerical simulations. However, the success rate of this application depends on having a perfect understanding of the behaviour of the concrete material models used and having a perfect understanding of the used material model parameters meaning. The effective application of nonlinear concrete material models within computer simulations often becomes very problematic because these material models very often contain parameters (material constants) whose values are difficult to obtain. However, getting of the correct values of material parameters is very important to ensure proper function of a concrete material model used. Today, one possibility, which permits successful solution of the mentioned problem, is the use of optimization algorithms for the purpose of the optimization-based inverse material parameter identification. Parameter identification goes hand in hand with experimental investigation while it trying to find parameter values of the used material model so that the resulting data obtained from the computer simulation will best approximate the experimental data. This paper is focused on the optimization-based inverse identification of the parameters of a concrete cap material model which is known under the name the Continuous Surface Cap Model. Within this paper, material parameters of the model are identified on the basis of interaction between nonlinear computer simulations,

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20101 - Civil engineering

Project

<a href="/en/project/GA17-23578S" target="_blank" >GA17-23578S: Damage assessment identification for reinforced concrete subjected to extreme loading</a><br>

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

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

Article name in the collection

World Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium - WMCAUS

ISBN

—

ISSN

1757-899X

e-ISSN

—

Number of pages

10

Pages from-to

1-10

Publisher name

IOP Publishing

Place of publication

Neuveden

Event location

Prague

Event date

Jun 12, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000419056401077