Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Meldi, Marcello"'
The Benchmarck on the Aerodynamics of a Rectangular 5:1 Cylinder is studied using a data-driven technique which bridges numerical simulation and available experimental results. Because of intrinsic features of the tools used for investigation, in par
Externí odkaz:
http://arxiv.org/abs/2312.14526
An online Data Assimilation strategy based on the Ensemble Kalman Filter (EnKF) is used to improve the predictive capabilities of Large Eddy Simulation (LES) for the analysis of the turbulent flow in a plane channel, $Re_\tau \approx 550$. The algori
Externí odkaz:
http://arxiv.org/abs/2310.18016
Autor:
Valero, Miguel M., Meldi, Marcello
A physics-infused strategy relying on the Ensemble Kalman Filter (EnKF) is here used to augment the accuracy of a continuous Immersed Boundary Method (IBM). The latter is a classical penalty method accounting for the presence of the immersed body via
Externí odkaz:
http://arxiv.org/abs/2310.09087
A data-driven investigation of the flow around a high-rise building is performed combining heterogeneous experimental samples and RANS CFD. The coupling is performed using techniques based on the Ensemble Kalman Filter (EnKF), including advanced mani
Externí odkaz:
http://arxiv.org/abs/2301.11195
In the present study, a discrete forcing Immersed Boundary Method (IBM) is proposed for the numerical simulation of high-speed flow problems including heat exchange. The flow field is governed by the compressible Navier-Stokes equations, which are re
Externí odkaz:
http://arxiv.org/abs/2301.09349
Autor:
Moldovan, Gabriel, Mariotti, Alessandro, Cordier, Laurent, Lehnasch, Guillaume, Salvetti, Maria - Vittoria, Meldi, Marcello
The potential for data-driven applications to scale-resolving simulations of turbulent flows is assessed herein. Multigrid sequential data assimilation algorithms have been used to calibrate solvers for Large Eddy Simulation for the analysis of the h
Externí odkaz:
http://arxiv.org/abs/2212.13831
Essential features of the Multigrid Ensemble Kalman Filter (G. Moldovan, G. Lehnasch, L. Cordier, M. Meldi, A multigrid/ensemble Kalman filter strategy for assimilation of unsteady flows, Journal of Computational Physics 443-110481) recently proposed
Externí odkaz:
http://arxiv.org/abs/2210.10157
Autor:
Moldovan, Gabriel-Ionut, Mariotti, Alessandro, Cordier, Laurent, Lehnasch, Guillaume, Salvetti, Maria-Vittoria, Meldi, Marcello
Publikováno v:
In Computers and Fluids 30 August 2024 281
Publikováno v:
Phys. Rev. Fluids 6, 064602 (2021)
In this paper we investigate whether the features of the non-equilibrium cascade, which have been identified in recent studies using high-fidelity tools, can be captured in the case of the classical dissipation scaling by turbulence closures based on
Externí odkaz:
http://arxiv.org/abs/2103.10856
A sequential estimator based on the Ensemble Kalman Filter for Data Assimilation of fluid flows is presented in this research work. The main feature of this estimator is that the Kalman filter update, which relies on the determination of the Kalman g
Externí odkaz:
http://arxiv.org/abs/2012.10091