Zobrazeno 1 - 10
of 2 147
pro vyhledávání: '"Lehmkuhl, P."'
This study analyzes the behavior of a differentially heated channel flow by means of a direct numerical simulations (DNS) with variable thermophysical properties under low-speed conditions focusing on the impact of the temperature gradient on the tur
Externí odkaz:
http://arxiv.org/abs/2411.07669
A wall-resolved large-eddy simulation (LES) of the fluid flow around a 30P30N airfoil is conducted at a Reynolds number of Rec=750,000 and an angle of attack (AoA) of 9 degrees. The simulation results are validated against experimental data from prev
Externí odkaz:
http://arxiv.org/abs/2411.05592
Autor:
Montalà, Ricard, Font, Bernat, Suárez, Pol, Rabault, Jean, Lehmkuhl, Oriol, Rodriguez, Ivette
This paper presents a deep reinforcement learning (DRL) framework for active flow control (AFC) to reduce drag in aerodynamic bodies. Tested on a 3D cylinder at Re = 100, the DRL approach achieved a 9.32% drag reduction and a 78.4% decrease in lift o
Externí odkaz:
http://arxiv.org/abs/2411.05536
Designing active-flow-control (AFC) strategies for three-dimensional (3D) bluff bodies is a challenging task with critical industrial implications. In this study we explore the potential of discovering novel control strategies for drag reduction usin
Externí odkaz:
http://arxiv.org/abs/2405.17210
This study presents novel active-flow-control (AFC) strategies aimed at achieving drag reduction for a three-dimensional cylinder immersed in a flow at a Reynolds number based on freestream velocity and cylinder diameter of (Re_D=3900). The cylinder
Externí odkaz:
http://arxiv.org/abs/2405.17655
Autor:
Eiximeno, Benet, Miró, Arnau, Begiashvili, Beka, Valero, Eusebio, Rodriguez, Ivette, Lehmkuhl, Oriol
This paper describes the numerical implementation in a high-performance computing environment of an open-source library for model order reduction in fluid dynamics. This library, called pyLOM, contains the algorithms of proper orthogonal decompositio
Externí odkaz:
http://arxiv.org/abs/2405.15529
The control efficacy of classical periodic forcing and deep reinforcement learning (DRL) is assessed for a turbulent separation bubble (TSB) at $Re_\tau=180$ on the upstream region before separation occurs. The TSB can resemble a separation phenomeno
Externí odkaz:
http://arxiv.org/abs/2403.20295
Publikováno v:
Philosophy of Physics, 2(1), id.4, 2024
We present a detailed analysis of Penrose's gravito-optical analogy between the focusing effects of particular families of Ricci- and Weyl-curved spacetime regions on the one hand, and anastigmatic and astigmatic optical lenses on the other. We put t
Externí odkaz:
http://arxiv.org/abs/2310.07337
Autor:
Johannes Keßels, Stefanie Wolf, Wolfgang Römer, Lukas Dörwald, Philipp Schulte, Frank Lehmkuhl
Publikováno v:
Environmental Sciences Europe, Vol 36, Iss 1, Pp 1-18 (2024)
Abstract Background The July flood 2021 at the mountain front of the Eifel-Ardennes Mountains and their foreland resulted in the flooding of the lignite mining area of Inden in Germany. The mining activities resulted in large-scale anthropogenic chan
Externí odkaz:
https://doaj.org/article/ef4152f9fcda4f9987bd02ed15ae1be5
Autor:
Suárez, Pol, Alcántara-Ávila, Francisco, Miró, Arnau, Rabault, Jean, Font, Bernat, Lehmkuhl, Oriol, Vinuesa, R.
This paper presents for the first time successful results of active flow control with multiple independently controlled zero-net-mass-flux synthetic jets. The jets are placed on a three-dimensional cylinder along its span with the aim of reducing the
Externí odkaz:
http://arxiv.org/abs/2309.02462