A numerical method for large-eddy simulation in complex geometries
By Krishnan Mahesh, G. Constantinescu, Parviz Moin. 2004
617 citations recorded by the source corpus.
Subfields: Computational Mechanics
View Paper: https://www.semanticscholar.org/paper/1f5463e0bae983102d87ffa967dc1934224b022f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Thierry Poinsot
- Sanjiva K. Lele
- Tim Colonius
- Zhiyin Yang
- Franck Nicoud
- Pramod K. Subbareddy
- Marcus Herrmann
- Vincent Moureau
Citations in the corpus
- Computational aeroacoustics: progress on nonlinear problems of sound generation (2004, methodology): “[105] Mahesh K, Constantinescu G, Moin P.”
- Review of computational fluid dynamics for wind turbine wake aerodynamics (2011, background): “119 Several authors have indeed mentioned premature turbulence decay and related it to possible numerical dissipation (see e.g. Bechmann, 33 Stovall et al. 35 and Troldborg et al. 114 ).”
- Large-eddy simulation: Past, present and the future (2015, background): “A non-dissipative algorithm for unstructured grids was developed and applied to a variety of flows including a turbine combustor.(94,95) There are also other issues when employing unstructured grids for LES such as the effects of different grid topologies (i.”
- Pore‐scale modeling of fluid‐particles interaction and emerging poromechanical effects (2013, result): “As a last note, we can remark that the sets of elements that we obtain from the triangulation and the tessellation systems are also quite similar to the ones found in unstructured FV mesh [30, 31].”
- Development and assessment of a coupled strategy for conjugate heat transfer with Large Eddy Simulation: Application to a cooled turbine blade (2009, background): “Recent progresses in Large Eddy Simulation (LES) (Sagaut, 2000; Mahesh et al., 2004; Poinsot and Veynante, 2005) and the continuously increasing computer power offered by the newly developed parallel computer architectures, allow to accurately predict turbulent flows in complex geometries (Acharya…”
- Numerical methods for unsteady compressible multi-component reacting flows on fixed and moving grids (2005, background): “Existing LES solvers for unstructured meshes are limited to second-order [7] or third-order [15] methods.”
- Study of trajectories of jets in crossflow using direct numerical simulations (2005, methodology): “The algorithm has been validated for a variety of problems (see Mahesh et al. 2004) over a range of Reynolds numbers.”
- A fully discrete, kinetic energy consistent finite-volume scheme for compressible flows (2009, methodology): “For the spatial fluxes, ensuring that the discrete equations are consistent as well gives us a simple set of constraints on the fluxes, similar to the incompressible flow formulation in [26], as well as the skew-symmetric form presented in [9].”
- Direct numerical simulation of round turbulent jets in crossflow (2007, neutral): “At any point along the jet trajectory (defined by the centre streamline), a new coordinate system s–n is obtained by rotating the x–y axes about the z-axis by an angle θ .”
- Large eddy simulation of propeller wake instabilities (2017, methodology): “The algorithm has been validated for a variety of problems over a range of Reynolds numbers (see Mahesh et al. 2004).”