On the use of higher-order finite-difference schemes on curvilinear and deforming meshes
- M. Visbal, D. Gaitonde
- Computer Science
- 1 September 2002
A simple technique is adopted which ensures metric cancellation and thus ensures freestream preservation even on highly distorted curvilinear meshes, and metric cancellation is guaranteed regardless of the manner in which grid speeds are defined.
High-Order Schemes for Navier-Stokes Equations: Algorithm and Implementation Into FDL3DI
- D. Gaitonde, M. Visbal
- Mathematics
- 1 August 1998
Abstract : A spectrum of higher-order schemes is developed to solve the Navier-Stokes equations in finite-difference formulations. Pade type formulas of up to sixth order with a five-point stencil…
Pade-Type Higher-Order Boundary Filters for the Navier-Stokes Equations
- D. Gaitonde, M. Visbal
- Mathematics
- 2000
The use of procedures based on higher-order finite-difference formulas is extended to solve complex fluid-dynamic problems on highly curvilinear discretizations and with multidomain approaches. The…
High-Order-Accurate Methods for Complex Unsteady Subsonic Flows
- M. Visbal, D. Gaitonde
- Engineering
- 1999
Several issues related to the application of very high-order schemes for the finite difference simulation of the full Navier-Stokes equations are investigated. The schemes utilize an implicit,…
Further development of a Navier-Stokes solution procedure based on higher-order formulas
- D. Gaitonde, M. Visbal
- Mathematics
- 11 January 1999
Progress in shock wave/boundary layer interactions
- D. Gaitonde
- Engineering
- 24 June 2013
High-order accurate methods for unsteady vortical flows on curvilinear meshes
- M. Visbal, D. Gaitonde
- Engineering
- 12 January 1998
This paper investigates several issues related to the application of very high-order schemes for the finitedifference simulation of the full Navier-Stokes equations, and finds filtering to be a superior alternative to damping in several cases.
Shock Capturing Using Compact-Differencing-Based Methods
- M. Visbal, D. Gaitonde
- Physics
- 10 January 2005
A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks
- A. Mohan, D. Gaitonde
- Computer Science
- 24 April 2018
A deep learning based approach is demonstrated to build a ROM using the POD basis of canonical DNS datasets, for turbulent flow control applications and finds that a type of Recurrent Neural Network, the Long Short Term Memory (LSTM) shows attractive potential in modeling temporal dynamics of turbulence.
Magnetic control of flow past a blunt body: Numerical validation and exploration
- J. Poggie, D. Gaitonde
- Physics
- 1 April 2002
Computational and theoretical studies of a Mach 5 flow over a hemisphere were carried out to validate a new computer code for magnetogasdynamic simulation, and to examine the possibility of heat…
...
...