Zobrazeno 1 - 10
of 1 979
pro vyhledávání: '"Schmid, Peter A."'
The simulation of fluid flow problems, specifically incompressible flows governed by the Navier-Stokes equations (NSE), holds fundamental significance in a range of scientific and engineering applications. Traditional numerical methods employed for s
Externí odkaz:
http://arxiv.org/abs/2409.04731
Direct numerical simulations (DNS) stand out as formidable tools in studying turbulent flows. Despite the fact that the achievable Reynolds number remains lower than those available through experimental methods, DNS offers a distinct advantage: the c
Externí odkaz:
http://arxiv.org/abs/2406.02574
Publikováno v:
J. Fluid Mech. 999 (2024) A43
We study the effect of acceleration and deceleration on the stability of channel flows. To do so, we derive an exact solution for laminar profiles of channel flows with arbitrary, time-varying wall motion and pressure gradient. This solution then all
Externí odkaz:
http://arxiv.org/abs/2312.12701
Many engineering applications rely on the evaluation of expensive, non-linear high-dimensional functions. In this paper, we propose the RONAALP algorithm (Reduced Order Nonlinear Approximation with Active Learning Procedure) to incrementally learn a
Externí odkaz:
http://arxiv.org/abs/2311.10550
Direct Numerical Simulations (DNSs) are one of the most powerful tools for studying turbulent flows. Even if achievable Reynolds numbers are lower than those obtained with experimental means, there is a clear advantage since the entire velocity field
Externí odkaz:
http://arxiv.org/abs/2311.05204
The Koopman operator presents an attractive approach to achieve global linearization of nonlinear systems, making it a valuable method for simplifying the understanding of complex dynamics. While data-driven methodologies have exhibited promise in ap
Externí odkaz:
http://arxiv.org/abs/2310.10745
The temporal linear stability of plane Poiseuille flow modified by spanwise forcing applied at the walls is considered. The forcing consists of a stationary streamwise distribution of spanwise velocity that generates a steady transversal Stokes layer
Externí odkaz:
http://arxiv.org/abs/2308.11525
Leveraging recent work on data-driven methods for constructing a finite state space Markov process from dynamical systems, we address two problems for obtaining further reduced statistical representations. The first problem is to extract the most sal
Externí odkaz:
http://arxiv.org/abs/2308.10864
Autor:
Margaritis, Athanasios T., Scherding, Clément, Marxen, Olaf, Schmid, Peter J., Sayadi, Taraneh
In this paper, we present a methodology to achieve high-fidelity simulations of chemically reacting hypersonic flows and demonstrate our numerical solver's capabilities on a selection of configurations. The numerical tools are developed based on prev
Externí odkaz:
http://arxiv.org/abs/2210.05547
Publikováno v:
Physical Review Fluids, 8(2023), 023201
In this paper, we present a novel model-agnostic machine learning technique to extract a reduced thermochemical model for reacting hypersonic flows simulation. A first simulation gathers all relevant thermodynamic states and the corresponding gas pro
Externí odkaz:
http://arxiv.org/abs/2210.04269