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Characterisation of Spatial Variability in Lattice Models

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F17%3APU125077" target="_blank" >RIV/00216305:26110/17:PU125077 - isvavai.cz</a>

  • Výsledek na webu

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Characterisation of Spatial Variability in Lattice Models

  • Popis výsledku v původním jazyce

    The paper aims to characterize different sources of spatial variability in lattice discrete particle models (LDPM) of heterogenous materials in order to support the hypotheses on a causal relationship between spatial variability, auto-correlation length of the random fields, type of spectral function and meso/micro-structure of the material. The associated microstructural features are mimicked by the proposed particle placement schemes for LDPM, which are no longer independent and random, but are correlated to initial random or gradient-based field. The study is based on high-dimensional Monte Carlo (MC) LDPM simulations of 3 classical concrete tests in which the inherent variability and production process are represented by the proposed particle placement schemes with varying parameters. Although the material property fields are kept constant, the captured functional form for the coefficient of variation of the load capacity and various power spectral parameters clearly supports the hypotheses on a causal relationship between spatial variability features and internal structure of the material. Furthermore, the different orientations of the gradient-based filed may be evaluated as a sensitivity to different casting directions, affecting not only scattering of the response, but also the mean values. This research represents an extreme case of high-dimensional MC problem and as such is yet limited to scientific clusters (supercomputers). As a proof of concept, however, the implications are important to the entire disciplin of structural reliability and safety due to the ability to obtain the functional form for mean values and coefficient of variation of response series and as such represents a fundamental concept for spatial variability based structural reliability.

  • Název v anglickém jazyce

    Characterisation of Spatial Variability in Lattice Models

  • Popis výsledku anglicky

    The paper aims to characterize different sources of spatial variability in lattice discrete particle models (LDPM) of heterogenous materials in order to support the hypotheses on a causal relationship between spatial variability, auto-correlation length of the random fields, type of spectral function and meso/micro-structure of the material. The associated microstructural features are mimicked by the proposed particle placement schemes for LDPM, which are no longer independent and random, but are correlated to initial random or gradient-based field. The study is based on high-dimensional Monte Carlo (MC) LDPM simulations of 3 classical concrete tests in which the inherent variability and production process are represented by the proposed particle placement schemes with varying parameters. Although the material property fields are kept constant, the captured functional form for the coefficient of variation of the load capacity and various power spectral parameters clearly supports the hypotheses on a causal relationship between spatial variability features and internal structure of the material. Furthermore, the different orientations of the gradient-based filed may be evaluated as a sensitivity to different casting directions, affecting not only scattering of the response, but also the mean values. This research represents an extreme case of high-dimensional MC problem and as such is yet limited to scientific clusters (supercomputers). As a proof of concept, however, the implications are important to the entire disciplin of structural reliability and safety due to the ability to obtain the functional form for mean values and coefficient of variation of response series and as such represents a fundamental concept for spatial variability based structural reliability.

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/LO1408" target="_blank" >LO1408: AdMaS UP - Pokročilé stavební materiály, konstrukce a technologie</a><br>

  • Návaznosti

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

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

    COMUS17 - Eccomas Thematic Conference - COMPUTATIONAL MODELLING OF MULTI-UNCERTAINTY AND MULTI-SCALE PROBLEMS

  • ISBN

    9788494690969

  • ISSN

  • e-ISSN

  • Počet stran výsledku

    12

  • Strana od-do

    1-12

  • Název nakladatele

    ECCOMAS

  • Místo vydání

    Porto, Portugal

  • Místo konání akce

    Vienna

  • Datum konání akce

    6. 8. 2017

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku