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Statements

Subject Item
n2:RIV%2F68407700%3A21110%2F14%3A00223488%21RIV15-GA0-21110___
rdf:type
n15:Vysledek skos:Concept
dcterms:description
Macroscopically heterogeneous materials, characterized mostly by comparable heterogeneity lengthscale and structural sizes, can no longer be modelled by deterministic approach. It is convenient to introduce stochastic approach with uncertain material parameters quantified as random fields. Nevertheless, introduction of random fields brings higher demands on quality of input data, especially on inputs of covariance functions representing the spatial randomness. The present contribution is devoted to the construction of random fields based on image analysis utilizing statistical descriptors, which were developed to describe the different morphology of two-phase random material. The whole concept is demonstrated on a simple numerical example of stationary heat conduction where interesting phenomena can be clearly understood. Macroscopically heterogeneous materials, characterized mostly by comparable heterogeneity lengthscale and structural sizes, can no longer be modelled by deterministic approach. It is convenient to introduce stochastic approach with uncertain material parameters quantified as random fields. Nevertheless, introduction of random fields brings higher demands on quality of input data, especially on inputs of covariance functions representing the spatial randomness. The present contribution is devoted to the construction of random fields based on image analysis utilizing statistical descriptors, which were developed to describe the different morphology of two-phase random material. The whole concept is demonstrated on a simple numerical example of stationary heat conduction where interesting phenomena can be clearly understood.
dcterms:title
Stochastic Modelling of Heterogeneous Materials based on Image Analysis Stochastic Modelling of Heterogeneous Materials based on Image Analysis
skos:prefLabel
Stochastic Modelling of Heterogeneous Materials based on Image Analysis Stochastic Modelling of Heterogeneous Materials based on Image Analysis
skos:notation
RIV/68407700:21110/14:00223488!RIV15-GA0-21110___
n3:aktivita
n21:P
n3:aktivity
P(GAP105/12/1146), P(GPP105/11/P370)
n3:dodaniDat
n6:2015
n3:domaciTvurceVysledku
n5:4695046 n5:5131391 n5:7182333
n3:druhVysledku
n9:D
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n12:predkladatel
n3:idSjednocenehoVysledku
47553
n3:idVysledku
RIV/68407700:21110/14:00223488
n3:jazykVysledku
n7:eng
n3:klicovaSlova
Stochastic finite element method; Random fields; Two-point probability density function; Covariance function
n3:klicoveSlovo
n11:Two-point%20probability%20density%20function n11:Covariance%20function n11:Stochastic%20finite%20element%20method n11:Random%20fields
n3:kontrolniKodProRIV
[7C992F19DB44]
n3:mistoKonaniAkce
Svratka
n3:mistoVydani
Brno
n3:nazevZdroje
20 th International Conference Engineering Mechanics 2014
n3:obor
n16:JM
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n13:GAP105%2F12%2F1146 n13:GPP105%2F11%2FP370
n3:rokUplatneniVysledku
n6:2014
n3:tvurceVysledku
Sýkora, Jan Kučerová, Anna Zeman, Jan
n3:typAkce
n14:EUR
n3:zahajeniAkce
2014-05-12+02:00
s:issn
1805-8248
s:numberOfPages
4
n20:hasPublisher
Vysoké učení technické v Brně
n19:isbn
978-80-214-4871-1
n17:organizacniJednotka
21110