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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20102 - Construction engineering, Municipal and structural engineering

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)

Publication year

2019

Confidentiality

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

Article name in the collection

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

—

Number of pages

19

Pages from-to

1-19

Publisher name

ECCOMAS

Place of publication

Porto, Portugal

Event location

Crete

Event date

Jun 24, 2019

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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