A shock-capturing methodology based on adaptative spatial filtering for high-order non-linear computations

By Christophe Bogey, Nicolas de Cacqueray, Christophe Bailly. Journal of Computational Physics, 2009

358 citations recorded by the source corpus.

Subfields: Atmospheric Science, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/03eeef098c1f9cd078abd268e64e4bf59713dfe6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Sergio Pirozzoli
2. Christophe Bogey
3. Christophe Bailly
4. J. Debonis

In Computational Mechanics

1. Christophe Bogey
2. Christophe Bailly
3. Sergio Pirozzoli
4. Sanjiva K. Lele
5. Tim Colonius
6. Nicolas de Cacqueray
7. P. Jordan
8. Matteo Bernardini

Citations in the corpus

• Numerical Methods for High-Speed Flows (2011, methodology): “The idea of adaptively filtering the numerical solution for shock-capturing also underlies the work of Visbal & Gaitonde (2005) and Bogey et al. (2009), who developed computational strategies based on high-accuracy central discretization of spatial derivatives, supplemented with selective filtering…”
• Influence of nozzle-exit boundary-layer conditions on the flow and acoustic fields of initially laminar jets (2010, methodology): “Sound propagation is carried out by solving the linear acoustic equations written in cylindrical coordinates, for the fluctuating velocity components and pressure as done previously by Berland, Bogey & Bailly (2007a) and Bogey et al. (2009a).”