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

Identifikátory výsledku

  • Kód výsledku v 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>

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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,

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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,

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    20101 - Civil engineering

Návaznosti výsledku

  • Projekt

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

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2017

  • 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

  • ISBN

  • ISSN

    1757-899X

  • e-ISSN

  • Počet stran výsledku

    10

  • Strana od-do

    1-10

  • Název nakladatele

    IOP Publishing

  • Místo vydání

    Neuveden

  • Místo konání akce

    Prague

  • Datum konání akce

    12. 6. 2017

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku

    000419056401077