2 citations · 3 across the 5 of their papers we have counts for
5 papers
Synchronization and optimization of Large Eddy Simulation using an online Ensemble Kalman Filter
Lucas Villanueva, Karine Truffin, Marcello Meldi
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 th…
A physics-infused Immersed Boundary Method using online sequential Data Assimilation
Miguel M. Valero, Marcello Meldi
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 classic…
Augmented state estimation of urban settings using intrusive sequential Data Assimilation
Lucas Villanueva, Miguel Martinez Valero, Anina Sarkic Glumac +1
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 techniqu…
A Discrete Immersed Boundary Method for the numerical simulation of heat transfer in compressible flows
Hamza Riahi, Eric Goncalves, Marcello Meldi
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…
Implementation of a discrete Immersed Boundary Method in OpenFOAM
E. Constant, C. Li, J. Favier +3
In this paper, the Immersed Boundary Method (IBM) proposed by Pinelli is implemented for finite volume approximations of incompressible Navier-Stokes equations solutions in the ope…