[ 201NUMACFDV24 ] VL Computational Fluid Dynamics
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| Workload |
Ausbildungslevel |
Studienfachbereich |
VerantwortlicheR |
Semesterstunden |
Anbietende Uni |
| 3 ECTS |
B3 - Bachelor 3. Jahr |
Mathematik |
Herbert Egger |
2 SSt |
Johannes Kepler Universität Linz |
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| Detailinformationen |
| Quellcurriculum |
Bachelorstudium Technische Mathematik 2025W |
| Lernergebnisse |
Kompetenzen |
| (*)The students understand the numerical solution of initial and initial boundary value problems arising in fluid mechanics.
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Fertigkeiten |
Kenntnisse |
(*)- understand and analyse basic models of fluid flow;
- select appropriate discretization methods for the resulting systems of
differential equations;
- assess the stability, accuracy and computational costs of the
discretization schemes;
- implement the proposed methods on a computer and verify their behavior;
- study efficient solvers for linear and nonlinear systems arising in
fluid mechanics.
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(*)Navier-Stokes equations and generalizations; weak formulations;
existence and uniqueness results;
Brezzi theory; LBB condition; appropriate finite element schemes;
convergence analysis;
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| Beurteilungskriterien |
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| Abhaltungssprache |
English |
| Lehrinhalte wechselnd? |
Nein |
| Frühere Varianten |
Decken ebenfalls die Anforderungen des Curriculums ab (von - bis) TM1WBVONKM2: VO Numerische Methoden der Kontinuumsmechanik 2 (2006W-2024S)
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| Präsenzlehrveranstaltung |
| Teilungsziffer |
- |
| Zuteilungsverfahren |
Direktzuteilung |
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