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Begiashvili BAutor o CoautorGaricano-Mena JAutor o CoautorLe Clainche SAutor o CoautorValero EAutor o CoautorFEATURE DETECTION ALGORITHMS AND MODAL DECOMPOSITION METHODS
Publicado en:World Congress In Computational Mechanics And Eccomas Congress. - 2022-01-01 (), DOI: 10.23967/eccomas.2022.117
Autores: Begiashvili B; Garicano-Mena J; Le Clainche S; Valero E
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Resumen
Various modal decomposition techniques have been developed in the last decade [1-11]. We focus on data-driven approches, and since data flow volume is increasing day by day, it is important to study the performance of order reduction and feature detection algorithms. In this work we compare the performance and feature detection behaviour of energy and frequency based algorithms (Proper Orthogonal Decomposition [1-3] and Dynamic Mode Decomposition [4-6,8-11]) on two data set testcases taken from fluid dynamics. The datasets considered (the velocity field of laminar wake around the mid-section of a very long cylinder at ReD = 100 and the pressure field of turbulent jet (axisymetric) at ReD = 106) represent different flow regimes. The performance of these algorithms is thoroughly assessed concerning both the accuracy of the results retrieved and the computational performance. From this assessment, those techniques that are potentially better suited for the applications are identified and after the possibility of parallelizing the algorithms will be studied with a final objective: To enable data-driven analysis of industrially relevant fluid mechanical problems.
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Impacto bibliométrico. Análisis de la aportación y canal de difusión
El trabajo ha sido publicado en la revista World Congress In Computational Mechanics And Eccomas Congress, Q4 Agencia Scopus (SJR), su enfoque regional y su especialización en Mechanical Engineering, le otorgan un reconocimiento lo suficientemente significativo en un nicho concreto del conocimiento científico a nivel internacional.
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Análisis de liderazgo de los autores institucionales
Existe un liderazgo significativo ya que algunos de los autores pertenecientes a la institución aparecen como primer o último firmante, se puede apreciar en el detalle: Primer Autor (BEGIASHVILI, BEKA) y Último Autor (VALERO SANCHEZ, EUSEBIO).