Shock Capturing Using Compact-Differencing-Based Methods

By Miguel R. Visbal, Datta V. Gaitonde. 2005

154 citations recorded by the source corpus.

Subfields: Computational Mechanics, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/ed79f96c0e17db36bb8d29aaa94c8bc60635b308

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

1. Sanjiva K. Lele
2. Christophe Bogey
3. Christophe Bailly
4. Sergio Pirozzoli
5. Johan Larsson
6. Nicolas de Cacqueray
7. Zhijian Wang
8. Yuzhi Sun

In Statistical and Nonlinear Physics

1. Yen Liu
2. Yuzhi Sun
3. Parviz Moin
4. Christophe Bogey
5. Nicolas de Cacqueray
6. Christophe Bailly
7. Zhijian Wang

Citations in the corpus

• A shock-capturing methodology based on adaptative spatial filtering for high-order non-linear computations (2009, methodology): “In the present approach, following Visbal and Gaitonde [31] for instance, a threshold parameter rth is used to specify the regions where the shock-capturing filtering is employed.”
• High-Order Multidomain Spectral Difference Method for the Navier-Stokes Equations on Unstructured Hexahedral Grids (2006, methodology): “, ENO/WENO methods [29], compact methods [18, 34, 35], optimized methods [32].”
• Assessment of high-resolution methods for numerical simulations of compressible turbulence with shock waves (2010, methodology): “A compact scheme may be employed with adaptive Padé-type filters to stabilize the solution near shocks [14,46].”