Dynamic mode decomposition and its application to the flutter analysis

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F21%3A00353480" target="_blank" >RIV/68407700:21220/21:00353480 - isvavai.cz</a>
Result on the web
<a href="https://otik.uk.zcu.cz/handle/11025/46218" target="_blank" >https://otik.uk.zcu.cz/handle/11025/46218</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Dynamic mode decomposition and its application to the flutter analysis
Original language description
In this talk the dynamic mode decomposition (DMD) method will be introduced. It is a data-driven and model-free method which decomposes a given set of signals to DMD modes and associated DMD eigenvalues. Thus it offers a very interesting alternative to the proper orthogonal decomposition (POD) and similar methods usually used for the low-rank representation of the high-dimensional data. The advantage of DMD is better physical interpretation of the decomposition as the DMD modes have monofrequency content and the complex DMD eigenvalues provide the frequency as well as the growth/decay rate of particular mode. Moreover the DMD has solid theoretical underpinnings given by the Koopman operator. The disadvantage of DMD is a relative ambiguity of DMD mode selection which are not sorted as in the case POD decomposition. Finally an application example of the DMD analysis to the numerical simulation of flutter vibrations is presented.
Czech name
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Czech description
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Project
<a href="/en/project/GA19-04477S" target="_blank" >GA19-04477S: Modelling and measurements of fluid-structure-acoustic interactions in biomechanics of human voice production</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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