A5073259063- Fluid Dynamics and Turbulent Flows
- Computational Fluid Dynamics and Aerodynamics
- Advanced Numerical Methods in Computational Mathematics
- Fluid Dynamics and Vibration Analysis
- Model Reduction and Neural Networks
- Lattice Boltzmann Simulation Studies
- Aerodynamics and Acoustics in Jet Flows
- Wind and Air Flow Studies
- Wind Energy Research and Development
- Acoustic Wave Phenomena Research
- Numerical methods for differential equations
- Solidification and crystal growth phenomena
- Vehicle Noise and Vibration Control
- Aerosol Filtration and Electrostatic Precipitation
- Aerodynamics and Fluid Dynamics Research
- Advanced Mathematical Modeling in Engineering
- Meteorological Phenomena and Simulations
- Energy Load and Power Forecasting
- Wind Turbine Control Systems
- Gas Dynamics and Kinetic Theory
- Turbomachinery Performance and Optimization
- Vibration and Dynamic Analysis
- Probabilistic and Robust Engineering Design
- Fluid Dynamics and Thin Films
- Underwater Acoustics Research
Universidad Politécnica de Madrid
2015-2024
Purdue University West Lafayette
2021
National Renewable Energy Centre
2007-2020
Zhejiang University
2019
University of Oxford
2010-2012
Institut Químic de Sarrià
2001
We present the latest developments of our High-Order Spectral Element Solver (), an open source high-order discontinuous Galerkin framework, capable solving a variety flow applications, including compressible flows (with or without shocks), incompressible flows, various RANS and LES turbulence models, particle dynamics, multiphase aeroacoustics. provide overview spatial discretisation (including energy/entropy stable schemes) anisotropic p-adaptation capabilities. The solver is parallelised...
Aeroacoustic noise is a major concern in wind turbine design that can be minimized by optimizing the airfoils shape rotating blades. To this end, we present framework for airfoil optimization to reduce trailing edge of Far-field evaluated using Amiet's theory coupled with TNO-Blake model calculate wall pressure spectrum and fast turn-around XFOIL simulations evaluate boundary layer parameters. The computational first validated NACA0012 at 0° angle attack. Particle swarm used find optimized...
Abstract We present a machine learning-based mesh refinement technique for steady and unsteady incompressible flows. The clustering proposed by Otmani et al. (Phys Fluids 35(2):027112, 2023) is used to mark the viscous turbulent regions flow past cylinder at $$Re=40$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>R</mml:mi> <mml:mi>e</mml:mi> <mml:mo>=</mml:mo> <mml:mn>40</mml:mn> </mml:mrow> </mml:math> (steady laminar flow), $$Re=100$$ <mml:mn>100</mml:mn>...
SUMMARY We explore the recently developed snapshot‐based dynamic mode decomposition (DMD) technique, a matrix‐free Arnoldi type method, to predict 3D linear global flow instabilities. apply DMD technique flows confined in an L‐shaped cavity and compare resulting modes their counterparts issued from classic, matrix forming, instability analysis (i.e. BiGlobal approach) direct numerical simulations. Results show that which uses snapshots generated by non‐linear incompressible discontinuous...
Abstract This paper presents limits for stability of projection type schemes when using high order pressure-velocity pairs same degree. Two h/p variational methods encompassing continuous and discontinuous Galerkin formulations are used to explain previously observed lower on the time step be stable [18], h- or p-refinement strategies considered. In addition, analysis included in this work shows that these do not depend only but product latter kinematic viscosity, which is particular...
We develop a reduced order model to represent the complex flow behaviour around vertical axis wind turbines. First, we simulate turbines using an accurate high discontinuous Galerkin–Fourier Navier–Stokes Large Eddy Simulation solver with sliding meshes and extract snapshots in time. Subsequently, construct based on dynamic mode decomposition approach that selects modes frequency. show only few are necessary reconstruct of original simulation, even for blades rotating turbulent regimes....
SUMMARY In this work, various turbulent solutions of the two‐dimensional (2D) and three‐dimensional compressible Reynolds averaged Navier–Stokes equations are analyzed using global stability theory. This analysis is motivated by onset flow unsteadiness (Hopf bifurcation) for transonic buffet conditions where moderately high numbers effects must be considered. The phenomenon involves a complex interaction between separated shock wave. efficient numerical methodology presented in paper...
In this contribution, we consider the Dynamic Mode Decomposition (DMD) framework as a purely data-driven tool to investigate both standard and actuated turbulent channel databases via Direct Numerical Simulation (DNS). Both have comparable Reynolds number Re ≈ 3600. The actuation consists in imposition of streamwise-varying sinusoidal spanwise velocity at wall, known lead drag reduction. Specifically, composite-based DMD analysis is conducted, with hybrid snapshots composed by skin friction...
High order discontinuous Galerkin methods allow accurate solutions through the use of high polynomials inside each mesh element. Increasing polynomial leads to accuracy, but increases cost. On one hand, require more restrictive time steps when using explicit temporal schemes, and on other hand quadrature rules lead costly evaluations per iteration. We propose accelerate Neural Networks. To this aim, we train a Network discretisation, extract corrective forcing that can be applied low...
We propose to accelerate a high order discontinuous Galerkin solver using neural networks. include corrective forcing low polynomial simulation enhance its accuracy. The is obtained by training deep fully connected network, but only for short time frame. With this forcing, we can run the faster (with large steps and cost per step) while improving explored idea 1D Burgers' equation in (Marique Ferrer, CAF 2022), have extended work 3D Navier-Stokes equations, with without Large Eddy Simulation...