Since a fluid flow model simulation might take a long time computation, even more if it is included a turbulence model, it would be necessary to develop new techniques which could accelerate that computational time. With the Reduced Basis Method (RBM) it is possible to compute a realtime solution of a parametrized partial differential equation (PDE), by using Galerkin projection onto a lowdimension space of basis. This space is properly selected by the Greedy algorithm for which it is necessary a residualbased a posteriori error estimation. In this talk, we present a RBM for the equations which model the fluid dynamics. We present the numerical analysis involved in the construction of the reduced model, and some numerical tests in which we show the speedup for the computation of the solution.
You are here
Reduced basis method for parametric fluid mechanics problems
Research Group:
Enrique Delgado Avila
Institution:
University of Sevilla, Spain
Location:
A005
Schedule:
Thursday, May 4, 2017  17:00
Abstract:
Openings
 Public Calls for Professors
 Temporary Professors/Researchers/Visiting Professors
 SISSA Mathematical Fellowships
 Marie SklodowskaCurie Grants
 Post Doctoral Fellowships
 PhD Scolarships
 SIS Fellowships
 Undergraduate Fellowships
 Postgraduate Fellowships
 MSc in Mathematics
 MSc in Data Science and Scientific Computing (DSSC)
 Professional Master Courses
Upcoming events

Flavia Santarcangelo
Isoperimetry in MCP spaces
Friday, January 25, 2019  10:00

Stefano Baranzini
Examples of extremal metrics
Monday, January 28, 2019  14:30

Patrick Gerard
Complex Cauchy matrices, inverse spectral problems and colourful invariant tori
Tuesday, January 29, 2019  16:30

Jacopo Stoppa
Variants of the cscK equation
Monday, February 11, 2019  14:30
Today's Lectures

Ugo Boscain
11:00 to 13:00

Giovanni Noselli
14:00 to 16:00
Recent publications

S. Bianchini; L. Spinolo,Characteristic boundary layers...

G. Dal Maso; R. Toader,On the Cauchy problem for the...

N. Giuliani; A. Mola; L. Heltai,πBEM : A flexible parallel im...

F. Auricchio; M. Conti; A. Lefieux; S. Morganti; A. Reali; G. Rozza; A. Veneziani,