Explore the words cloud of the AROMA-CFD project. It provides you a very rough idea of what is the project "AROMA-CFD" about.
The following table provides information about the project.
SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE
|Coordinator Country||Italy [IT]|
|Total cost||1˙656˙579 €|
|EC max contribution||1˙656˙579 € (100%)|
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
|Duration (year-month-day)||from 2016-05-01 to 2021-04-30|
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|1||SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE||IT (TRIESTE)||coordinator||1˙656˙579.00|
The aim of AROMA-CFD is to create a team of scientists at SISSA for the development of Advanced Reduced Order Modelling techniques with a focus in Computational Fluid Dynamics (CFD), in order to face and overcome many current limitations of the state of the art and improve the capabilities of reduced order methodologies for more demanding applications in industrial, medical and applied sciences contexts. AROMA-CFD deals with strong methodological developments in numerical analysis, with a special emphasis on mathematical modelling and extensive exploitation of computational science and engineering. Several tasks have been identified to tackle important problems and open questions in reduced order modelling: study of bifurcations and instabilities in flows, increasing Reynolds number and guaranteeing stability, moving towards turbulent flows, considering complex geometrical parametrizations of shapes as computational domains into extended networks. A reduced computational and geometrical framework will be developed for nonlinear inverse problems, focusing on optimal flow control, shape optimization and uncertainty quantification. Further, all the advanced developments in reduced order modelling for CFD will be delivered for applications in multiphysics, such as fluid-structure interaction problems and general coupled phenomena involving inviscid, viscous and thermal flows, solids and porous media. The advanced developed framework within AROMA-CFD will provide attractive capabilities for several industrial and medical applications (e.g. aeronautical, mechanical, naval, off-shore, wind, sport, biomedical engineering, and cardiovascular surgery as well), combining high performance computing (in dedicated supercomputing centers) and advanced reduced order modelling (in common devices) to guarantee real time computing and visualization. A new open source software library for AROMA-CFD will be created: ITHACA, In real Time Highly Advanced Computational Applications.
|year||authors and title||journal||last update|
Efthymios N. Karatzas, Giovanni Stabile, Leo Nouveau, Guglielmo Scovazzi, Gianluigi Rozza
A reduced basis approach for PDEs on parametrized geometries based on the shifted boundary finite element method and application to a Stokes flow
published pages: 568-587, ISSN: 0045-7825, DOI: 10.1016/j.cma.2018.12.040
|Computer Methods in Applied Mechanics and Engineering 347||2019-08-05|
Marco Tezzele, Filippo Salmoiraghi, Andrea Mola, Gianluigi Rozza
Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems
published pages: , ISSN: 2213-7467, DOI: 10.1186/s40323-018-0118-3
|Advanced Modeling and Simulation in Engineering Sciences 5/1||2019-08-05|
POD-Galerkin reduced order methods for CFD using Finite Volume Discretisation: vortex shedding around a circular cylinder
published pages: 210, ISSN: 2038-0909, DOI: 10.1515/caim-2017-0011
|Communications in Applied and Industrial Mathematics 8 (1)||2019-06-18|
Giuseppe Pitton, Annalisa Quaini, Gianluigi Rozza
Computational reduction strategies for the detection of steady bifurcations in incompressible fluid-dynamics: Applications to Coanda effect in cardiology
published pages: 534-557, ISSN: 0021-9991, DOI: 10.1016/j.jcp.2017.05.010
|Journal of Computational Physics 344||2019-06-18|
Giuseppe Pitton, Gianluigi Rozza
On the Application of Reduced Basis Methods to Bifurcation Problems in Incompressible Fluid Dynamics
published pages: 157-177, ISSN: 0885-7474, DOI: 10.1007/s10915-017-0419-6
|Journal of Scientific Computing 73/1||2019-06-18|
Maria Strazzullo, Francesco Ballarin, Renzo Mosetti, Gianluigi Rozza
Model Reduction for Parametrized Optimal Control Problems in Environmental Marine Sciences and Engineering
published pages: B1055-B1079, ISSN: 1064-8275, DOI: 10.1137/17M1150591
|SIAM Journal on Scientific Computing 40/4||2019-04-18|
Giovanni Stabile, Gianluigi Rozza
Finite volume POD-Galerkin stabilised reduced order methods for the parametrised incompressible Navierâ€“Stokes equations
published pages: 273-284, ISSN: 0045-7930, DOI: 10.1016/j.compfluid.2018.01.035
|Computers & Fluids 173||2019-04-18|
Davide Torlo, Francesco Ballarin, Gianluigi Rozza
Stabilized Weighted Reduced Basis Methods for Parametrized Advection Dominated Problems with Random Inputs
published pages: 1475-1502, ISSN: 2166-2525, DOI: 10.1137/17m1163517
|SIAM/ASA Journal on Uncertainty Quantification 6/4||2019-04-18|
Luca Venturi, Francesco Ballarin, Gianluigi Rozza
A Weighted POD Method for Elliptic PDEs with Random Inputs
published pages: , ISSN: 0885-7474, DOI: 10.1007/s10915-018-0830-7
|Journal of Scientific Computing||2019-04-18|
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