Development and validation of hybrid grid-based and grid-free computational VπLES method

Sina Samarbakhsh

doi:10.18453/rosdok_id00003970

Sina Samarbakhsh

Development and validation of hybrid grid-based and grid-free computational VπLES method

Universität Rostock, 2022

https://doi.org/10.18453/rosdok_id00003970

Abstract: A novel hybrid grid-based and grid-free computational method which is called VπLES is proposed and validated over several benchmark cases. VπLES splits the flow structures into large scale ones, resolved on the grid (Eulerian approach), and small scale ones, represented by vortex particles (Lagrangian approach). Two transport equations for grid and particle solution are derived which are dynamically coupled through the existence of coupling terms in each of them. The method resembles LES with an effort to directly reproduce the subgrid motion at least in the statistical sense.

Dissertation Freier Zugang

Titel:

Development and validation of hybrid grid-based and grid-free computational VπLES method

Beteiligte Personen:

Sina Samarbakhsh[VerfasserIn]
	126952545X
Nikolai Kornev[AkademischeR BetreuerIn]
	0000-0001-9953-8713
	140958908
	Lehrstuhl für Modellierung und Simulation (LeMoS), Universität Rostock
Suad Jakirlić[AkademischeR BetreuerIn]
	115506276

Beteiligte Körperschaften:

Universität Rostock[Grad-verleihende Institution]
	38329-6
Universität Rostock, Fakultät für Maschinenbau und Schiffstechnik[Grad-verleihende Institution]
	10085033-9

Zusammenfassung:

A novel hybrid grid-based and grid-free computational method which is called VπLES is proposed and validated over several benchmark cases. VπLES splits the flow structures into large scale ones, resolved on the grid (Eulerian approach), and small scale ones, represented by vortex particles (Lagrangian approach). Two transport equations for grid and particle solution are derived which are dynamically coupled through the existence of coupling terms in each of them. The method resembles LES with an effort to directly reproduce the subgrid motion at least in the statistical sense. [Englisch]

Dokumenttyp:

Dissertation

Einrichtung:

Fakultät für Maschinenbau und Schiffstechnik

Sprache:

Englisch

Sachgruppe der DNB:

620 Ingenieurwissenschaften und Maschinenbau

Veröffentlichung /
Entstehung:

Rostock: Universität Rostock

2022

Verantwortlichkeitsangabe: