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NuMath
(Numerical Methods in aerospace technology)
is a research group belonging to the
School of Aeronautical and Space Engineering
(Polytechnic University of Madrid)
. The objective of the group is to develop new numerical methods to improve several aspects related to the aerospace technology.
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Stability Analysis
Multiphase Flow
High Order Methods
CFD Industrial Applications
Mesh Generation
Complex Systems
Energy Measurements
Lattice Boltzmann Method
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Flow Databases
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2D cylinder - Re
D
= 60
NUMATH We are working on this section, please come back later 2D Cylinder – RED = 60 50%
Turbulent Channel Flow - Re
T
= 200
NUMATH Download Description of the database Download the Database (12GB) Download the Script loadDB.m...
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Horses3D
Overview HORSES3D is a 3D parallel code that uses the high–order Discontinuous Galerkin...
Dynamic Mode Decomposition (DMD)
Dynamic Mode Decomposition (DMD) is a feature detection algorithm that allows to identify recurring patterns...
Optimization Algorithms and Game Theory
Optimization Algorithms and Game Theory An optimization tool is developed specially for stability problems,...
Optimization, Stability and Sensitivity
On the stability analysis of compressible and turbulent Navier-Stokes flows, a smart and efficient use...
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NUMATH
Category: Journal Articles
Year
2022 |
Authors
M Chávez-Modena, LM González, E Valero
Numerical optimization of the fin shape experiments of a heat conjugate problem surface air/oil heat exchanger (SACOC)
International Journal of Heat and Mass Transfer 182, 121971
Year
2022 |
Authors
J Kou, S Joshi, A Hurtado-de-Mendoza, K Puri, C Hirsch, E Ferrer
Immersed boundary method for high-order flux reconstruction based on volume penalization
Journal of Computational Physics 448, 110721
Year
2022 |
Authors
J Kou, A Hurtado-de-Mendoza, S Joshi, S Le Clainche, E Ferrer
Eigensolution analysis of immersed boundary method based on volume penalization: applications to high-order schemes
Journal of Computational Physics 449, 110817
Year
2022 |
Authors
J Kou, S Le Clainche, E Ferrer
Data-driven eigensolution analysis based on a spatio-temporal Koopman decomposition, with applications to high-order methods
Journal of Computational Physics 449, 110798
Year
2022 |
Authors
W Laskowski, G Rubio, E Valero, E Ferrer
A functional oriented truncation error adaptation method
Journal of Computational Physics 451, 110883
Year
2022 |
Authors
FM de Lara, E Ferrer
Accelerating high order discontinuous Galerkin solvers using neural networks: 1D Burgers’ equation
Computers & Fluids, 105274
Year
2019 |
Authors
M Wu | Z Han | H Nie | W Song | S Le Clainche | E Ferrer
A Transition Prediction Method for Flows over Airfoils Based on Dynamic Mode Decomposition
Chinese Journal of Aeronautics, Vol 32, p 2408-2421, 2019
Year
2019 |
Authors
AM Rueda-Ramirez | G Rubio | E Ferrer | E Valero
Truncation Error Estimation in the p-Anisotropic Discontinuous Galerkin Spectral Element Method
Journal of Scientific Computing, Vol 78(1), p 433-466, 2019
Year
2019 |
Authors
LM Gonzalez | JM Gimenez | E Ferrer
Instability onset for a submerged cylinder
Physics of Fluids, Vol. 31(1), 014106, 2019
Year
2019 |
Authors
AM Rueda-Ramirez | J Manzanero | E Ferrer | G Rubio | E Valero
A p-Multigrid Strategy with Anisotropic p-Adaptation Based on Truncation Errors for High-Order Discontinuous Galerkin Methods
Journal of Computational Physics, Vol 378, p 209-233, 2019
Numath
About Us
Research
Stability Analysis
Multiphase Flow
High Order Methods
CFD Industrial Applications
Mesh Generation
Complex Systems
Energy Measurements
Lattice Boltzmann Method
People
Projects
Flow Databases
Turbulent Channel Flow – ReT=200
2D cylinder – Re
D
= 60
Tools
Horses3D
Optimization Algorithms and Game Theory
Optimization, Stability and Sensitivity
Dynamic Mode Decomposition (DMD)
Publications
Journal Articles
Chapters
Books
Conferences
Events
Employment
Seminars