About: Probabilistic modelling of heterogeneous materials based on image analysis

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.esco2014.femhub.com/docs/ESCO2014_Book_of_Abstracts.pdf
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 kernels 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 structure of multi-phase random material. The whole concept is demonstrated on a simple numerical example of 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 kernels 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 structure of multi-phase random material. The whole concept is demonstrated on a simple numerical example of heat conduction where interesting phenomena can be clearly understood. (en)
Title	Probabilistic modelling of heterogeneous materials based on image analysis Probabilistic modelling of heterogeneous materials based on image analysis (en)
skos:prefLabel	Probabilistic modelling of heterogeneous materials based on image analysis Probabilistic modelling of heterogeneous materials based on image analysis (en)
skos:notation	RIV/68407700:21110/14:00223509!RIV15-GA0-21110___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GAP105/12/1146), P(GPP105/11/P370)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Zeman, Jan Kučerová, Anna Sýkora, Jan
http://linked.open.../riv/druhVysledku	O - Ostatní výsledky nezařaditelné do žádného z výše uvedených druhů výsledku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta stavební
http://linked.open...dnocenehoVysledku	39679
http://linked.open...ai/riv/idVysledku	RIV/68407700:21110/14:00223509
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Stochastic finite element method; Random fields; Two-point probability density function; Covariance function (en)
http://linked.open.../riv/klicoveSlovo	Random fields Covariance function Stochastic finite element method Two-point probability density function
http://linked.open...ontrolniKodProRIV	[591AAD94D2FE]
http://linked.open...in/vavai/riv/obor	JM
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Methods for paralelization of engineering problems using low-cost technologies Artificial neural networks in multi-scale modelling of transport processes in heterogeneous materials
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Kučerová, Anna Sýkora, Jan Zeman, Jan
http://localhost/t...ganizacniJednotka	21110

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