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Random and gradient based fields in discrete particle models of heterogeneous materials

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F17%3APU125067" target="_blank" >RIV/00216305:26110/17:PU125067 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.7712/120217.5396.16710" target="_blank" >http://dx.doi.org/10.7712/120217.5396.16710</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.7712/120217.5396.16710" target="_blank" >10.7712/120217.5396.16710</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Random and gradient based fields in discrete particle models of heterogeneous materials

  • Original language description

    The proper characterization of the microstructure and macroscopic properties of random heterogeneous materials may help to interpret the observed scatter in many engineering problems. In this contribution, a lattice discrete particle model is presented in a civil engineering framework with a special emphasis on concrete structures and infrastructure. The implications of spatial variability are investigated with regard to the observed scatter in standard concrete tests. In particular, classical experiments, such as three-point bending tests, may exhibit various levels of scatter which have to be accounted for if material characteristics are to be derived from such experiments and consequently used for the analysis and design of structural systems. Therefore, random and gradient based fields are combined in this paper in an attempt to realistically capture the material properties and associated variability stemming from the microstructure and macroscopic features such as the placement of coarse aggregates. Various mechanical and statistical aspects of simulated test series are investigated, such as macroscopic fracture energy or distribution of load bearing capacity. The presented application example of three-point bend specimens incorporates not only the inherent spatial variability owing to the placement of aggregates, modelled by random fields, but also various production artefacts, such as concrete compacting characterized here by gradient based fields.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20102 - Construction engineering, Municipal and structural engineering

Result continuities

  • Project

    <a href="/en/project/LO1408" target="_blank" >LO1408: AdMaS UP – Advanced Building Materials, Structures and Technologies</a><br>

  • Continuities

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

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Uncertainty Quantification in Computational Sciences and Engineering

  • ISBN

    978-618-82844-4-9

  • ISSN

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    605-615

  • Publisher name

    Eccomas Proceedia

  • Place of publication

    Rhodes Island

  • Event location

    Vienna

  • Event date

    Aug 6, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article