CFD motivated applications of model order reduction

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F17%3A43902642" target="_blank" >RIV/60461373:22340/17:43902642 - isvavai.cz</a>
Alternative codes found
RIV/61388998:_____/17:00480978
Result on the web
<a href="http://www.ugn.cas.cz/actually/event/2017/sna/sna-sbornik.pdf" target="_blank" >http://www.ugn.cas.cz/actually/event/2017/sna/sna-sbornik.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
CFD motivated applications of model order reduction
Original language description
The ongoing advances in numerical mathematics and available computing power combined with the industrial needs promote a development of more and more complex models. However, such models are, due to their complexity, expensive from the point of view of the data storage and the time necessary for their evaluation. The model order reduction (MOR) seeks to reduce the computational complexity of large scale models. We present an approach to MOR based on the proper orthogonal decomposition (POD) with Galerking projection, which is well described for example by Pinnau or Volkwein. The problems arising from the nonlinearities present in the original model are adressed within the framework of the discrete empirical interpolation method (DEIM) of Chaturantabut and Sorensen.
Czech name
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Czech description
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Project
<a href="/en/project/GA13-01251S" target="_blank" >GA13-01251S: Experimental verification of rate-based distillation columns design based on mass/heat transfer coefficients measured directly in the columns</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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