IMAGE-BASED RANDOM FIELDS IN NUMERICAL MODELING OF HETEROGENEOUS MATERIALS

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F24%3A00382844" target="_blank" >RIV/68407700:21110/24:00382844 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.14311/APP.2024.49.0077" target="_blank" >https://doi.org/10.14311/APP.2024.49.0077</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14311/APP.2024.49.0077" target="_blank" >10.14311/APP.2024.49.0077</a>

Result language
angličtina
Original language name
IMAGE-BASED RANDOM FIELDS IN NUMERICAL MODELING OF HETEROGENEOUS MATERIALS
Original language description
Modeling of spatial variability using random fields is nowadays standard in computational modeling of heterogeneous materials. The only difficulty remains in determining the input parameters of the random field in order to represent the modeled material morphology as accurately as possible. The most frequent method of constructing a random field relies on various covariance kernels that primarily use as input the values of the correlation lengths, which are typically estimated ad-hoc. However, another possibility is to extract input parameters from the modeled material morphology. Moreover, this approach enables to calculate the covariance kernel itself. The performance of the image-based procedure is compared with standard methods of random field construction on the response of the two-phase elastic material.
Czech name
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Czech description
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Project
<a href="/en/project/GF22-35755K" target="_blank" >GF22-35755K: SUMO: Sustainable design empowered by materials modelling, semantic interoperability and multi-criteria optimization</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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