Documentation

FEST-3D

Introduction

FEST-3D is a finite-volume solver build to compute incompressible/compressible, and inviscid/laminar/transitonal/turbulent fluid flow problems on structured grids.

Highlights: The solver provides multiple choices to the user in terms of inviscid flux calculation scheme, higher-order face-state reconstruction scheme, time-integration scheme, and turbulence and transition models.

Schemes

Inviscid flux calculation

  • AUSM
    Liou, M.-S. and Steffen, C., “A New Flux Splitting Scheme,” J. Comput. Phys., vol. 107, no. 1, pp. 23-39, 1993.
  • LDFSS
    Edwards, J.R., A low-diffusion flux-splitting scheme for Navier-Stokes calculations. Computers & Fluids, vol. 26, no. 6, pp.635-659, 1997.
  • AUSM+
    Liou, M. S., “A sequel to AUSM: AUSM+,” Journal of Computational Physics, vol. 129, no. 2, pp. 364–382, 1996.
  • AUSM+-UP
    Liou, M. S., “A sequel to AUSM, Part II: AUSM+-up for all speeds,” Journal of Computational Physics, vol. 214, no. 1, pp. 137–170, 2006.
  • SLAU
    Shima, E., and Kitamura, K., “Parameter-Free Simple Low-Dissipation AUSM-Family Scheme for All Speeds,” AIAA Journal, vol. 49, no. 8, pp. 1693–1709, 2011.

Higher-order spatial reconstruction

  • None 1rst order accurate in space
  • MUSCL 3rd order accurate in space
    van Leer, B., Towards the Ultimate Conservative Difference Scheme, V. A Second Order Sequel to Godunov's Method, J. Com. Phys., vol. 32, no. 1, pp. 101–136, 1979
  • PPM 4th order accurate in space
    Colella, P., and Woodward, P. R., “The Piecewise Parabolic Method (PPM) for gas-dynamical simulations,” Journal of Computational Physics, vol. 54, no. 1, pp. 174–201, 1984.
  • WENO 5th order accurate in space
    Shu, C.-W., “High-order Finite Difference and Finite Volume WENO Schemes and Discontinuous Galerkin Methods for CFD,” International Journal of Computational Fluid Dynamics, vol. 17, no. 2, pp. 107–118, 2003.
  • WENO-NM 5th order accurate in space (specifically for non-uniform grid)
    Huang, W.-F., Ren, Y.-X., and Jiang, X., “A simple algorithm to improve the performance of the WENO scheme on non-uniform grids,” Acta Mechanica Sinica, vol. 34, no. 1, pp. 37–47, 2018.

Temporal integration

Explicit

  • Euler Explicit First order accurate in time
  • RK2 2nd order accurate in time, Runge-Kutta method
  • RK4 4th order accurate in time, Runge-Kutta method
  • TVDRK2 Total variation diminishing RK2 method for Weno scheme
  • TVDRK3 Total variation diminishing RK3 method for Weno scheme
    Hoffmann, Klaus A., and Steve T. Chiang. "Computational fluid dynamics volume I." Engineering Education System, 2000.

Implicit

  • implicit Matrix free LU-SGS method, first order accurate in time.
    Chen, R. F., and Wang, Z. J., “Fast , Block Lower-Upper Symmetric Gauss – Seidel Scheme Introduction,” AIAA Journal, vol. 38, no. 12, pp. 2238–2245, 2000.
  • PLUSGS Preconditioned Matrix free LU-SGS method for very low speed flow; first order accuate in time
    Kitamura, K., Shima, E., Fujimoto, K., and Wang, Z. J., “Performance of Low-Dissipation Euler Fluxes and Preconditioned LU-SGS at Low Speeds,” Communications in Computational Physics, vol. 10, no. 1, pp. 90–119, 2011.

Turbulence model

  • SA
    Allmaras, S. R., Johnson, F. T., and Spalart, P. R., “Modifications and Clarifications for the Implementation of the Spalart-Allmaras Turbulence Model,” Seventh International Conference on Computational Fluid Dynamics (ICCFD7), 2012.
    Spalart, P. R., and Allmaras, S., “A one-equation turbulence model for aerodynamic flows,” 30th Aerospace Sciences Meeting and Exhibit, 1992.
  • SST
    Menter, F. R., "Two-Equation Eddy-Viscosity Turbulence Models for Engineering Applications," AIAA Journal, vol. 32, no. 8, pp. 1598-1605, 1994.
  • SST2003
    Menter, F. R., Kuntz, M., and Langtry, R., "Ten Years of Industrial Experience with the SST Turbulence Model," Turbulence, Heat and Mass Transfer 4, ed: K. Hanjalic, Y. Nagano, and M. Tummers, Begell House, Inc., pp. 625 - 632, 2003.
  • k-kL
    Menter, F. R., and Egorov, Y., “The scale-adaptive simulation method for unsteady turbulent flow predictions. part 1: Theory and model description,” Flow, Turbulence and Combustion, vol. 85, no. 1, pp. 113–138, 2010.

Transition model

  • Gamma LCTM2015
    Menter, F. R., Smirnov, P. E., Liu, T., and Avancha, R., “A One-Equation Local Correlation-Based Transition Model,” Flow, Turbulence and Combustion, vol. 95, no. 4, pp. 583–619, 2015.
  • SA-BC
    Cakmakcioglu, S. C., Bas, O., and Kaynak, U., “A correlation-based algebraic transition model,” Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, vol. 232, no. 21, pp. 3915–3929, 2018.

FEST-3D Team

Over the last five years, many individuals have contributed to the development of FEST-3D. The team includes:

  • Jatinder Pal Singh Sandhu
    Ph.D. Student (Current)
    Added turbulence and transition models:SST, SA, k-kL; implicit time-integration method: LU-SGS and PLU-SGS; approximate Reimann solver: SLAU, AUSM+-UP, AUSM+; and 5th order weno scheme

  • R. D. Teja
    B.Tech Student (2016)
    Parallelized FEST-3D using MPI routines

  • Raskesh Ramakrishnan
    Dual Degree Student (2016)
    Modified FEST-3D into a three-dimensional laminar flow solver_

  • Anant Girdhar
    B.Tech Student (2015)
    Developed the FEST-3D code as a modular two-dimensional inviscid flow solver for strutured grids

All the above individuals were guided by Dr. Santanu Ghosh.