Probabilistic modelling of heterogeneous materials based on image analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F14%3A00223509" target="_blank" >RIV/68407700:21110/14:00223509 - isvavai.cz</a>
Result on the web
<a href="http://www.esco2014.femhub.com/docs/ESCO2014_Book_of_Abstracts.pdf" target="_blank" >http://www.esco2014.femhub.com/docs/ESCO2014_Book_of_Abstracts.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Probabilistic modelling of heterogeneous materials based on image analysis
Original language 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 ofheat conduction where interesting phenomena can be clearly understood.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
JM - Structural engineering
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů