Aggregate clustering and casting direction effects in lattice discrete particle model simulations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F19%3APU140170" target="_blank" >RIV/00216305:26110/19:PU140170 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.researchgate.net/publication/337383529_AGGREGATE_CLUSTERING_AND_CASTING_DIRECTION_EFFECTS_IN_LATTICE_DISCRETE_PARTICLE_MODEL_SIMULATIONS" target="_blank" >https://www.researchgate.net/publication/337383529_AGGREGATE_CLUSTERING_AND_CASTING_DIRECTION_EFFECTS_IN_LATTICE_DISCRETE_PARTICLE_MODEL_SIMULATIONS</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.7712/120219.6321.18788" target="_blank" >10.7712/120219.6321.18788</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Aggregate clustering and casting direction effects in lattice discrete particle model simulations

Popis výsledku v původním jazyce

The paper aims at characterizing the influence of particle placement and clustering in lattice discrete particle model (LDPM) simulations of concrete on structural response. The presented spatial variability package for LDPM enables for the first time to influence the previously independent and random particle placement. The proposed scheme correlates the particle placement to an initial random or gradient-based fields in order to mimic some of the experimentally observed phenomena such as aggregate clustering or the effect of casting direction. The study is based on high-dimensional Monte Carlo (MC) LDPM simulations of three classical concrete tests in which the inherent variability and production process are represented by the proposed particle placement schemes with varying parameters. The material property fields are kept constant at this phase of the investigation in order to isolate and quantify the potential effect of the proposed particle placement schemes on structural response. This investigation is based on a comparison of stress and strain values at peak for different tests against the case of independent and random placement. The coefficients of variation of the above-mentioned outputs are also evaluated. This research aims at evaluating the importance influencing the particle placement according to experimentally measurable phenomena before initiating research on the spatial variability of material properties and the respective correlation structure. © 2019 Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2019. All rights reserved.

Název v anglickém jazyce

Aggregate clustering and casting direction effects in lattice discrete particle model simulations

Popis výsledku anglicky

The paper aims at characterizing the influence of particle placement and clustering in lattice discrete particle model (LDPM) simulations of concrete on structural response. The presented spatial variability package for LDPM enables for the first time to influence the previously independent and random particle placement. The proposed scheme correlates the particle placement to an initial random or gradient-based fields in order to mimic some of the experimentally observed phenomena such as aggregate clustering or the effect of casting direction. The study is based on high-dimensional Monte Carlo (MC) LDPM simulations of three classical concrete tests in which the inherent variability and production process are represented by the proposed particle placement schemes with varying parameters. The material property fields are kept constant at this phase of the investigation in order to isolate and quantify the potential effect of the proposed particle placement schemes on structural response. This investigation is based on a comparison of stress and strain values at peak for different tests against the case of independent and random placement. The coefficients of variation of the above-mentioned outputs are also evaluated. This research aims at evaluating the importance influencing the particle placement according to experimentally measurable phenomena before initiating research on the spatial variability of material properties and the respective correlation structure. © 2019 Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2019. All rights reserved.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20102 - Construction engineering, Municipal and structural engineering

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)

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2019

ISBN

978-6-1882-8449-4

ISSN

—

e-ISSN

—

Počet stran výsledku

19

Strana od-do

1-19

Název nakladatele

ECCOMAS

Místo vydání

Porto, Portugal

Místo konání akce

Crete

Datum konání akce

24. 6. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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