Edge is a CFD flow solver for unstructured grids of arbitrary elements. It solves the three-dimensional, compressible Reynolds-Averaged Navier-Stokes (RANS) equations on hybrid grids. The code is currently being extended for LES and DES simulations. Edge is an industrial strength code designed for realistic, large scale, parallel computations. The unstructured formulation allows Edge to be used for problems of arbitrarily complex geometry. However, Edge can be run on any Unix/Linux platform including small PC computers. The Edge flow solver is based on a node-centered finite volume scheme. For steady flows, the equations are integrated towards steady state with an explicit multi-stage Runge-Kutta scheme. To accelerate convergence, residual smoothing and a multi-grid technique can be employed. Low Mach-number preconditioning is also available. Time-accurate computations are implemented using dual time-stepping: implicit time marching with explicit sub-iterations.

References in zbMATH (referenced in 25 articles , 1 standard article )

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  1. Bakhvalov, P. A.; Surnachev, M. D.: Method of averaged element splittings for diffusion terms discretization in vertex-centered framework (2022)
  2. Nishikawa, Hiroaki: A hyperbolic Poisson solver for wall distance computation on irregular triangular grids (2021)
  3. Nishikawa, Hiroaki: A hyperbolic Poisson solver for tetrahedral grids (2020)
  4. Bakhvalov, P. A.: On gradient calculation in flux correction method (2019)
  5. Shahriari, Nima; Kollert, Matthias R.; Hanifi, Ardeshir: Control of a swept-wing boundary layer using ring-type plasma actuators (2018)
  6. Bakhvalov, P. A.; Kozubskaya, T. K.: Modification of flux correction method for accuracy improvement on unsteady problems (2017)
  7. Nishikawa, Hiroaki; Liu, Yi: Accuracy-preserving source term quadrature for third-order edge-based discretization (2017)
  8. Economon, Thomas D.; Mudigere, Dheevatsa; Bansal, Gaurav; Heinecke, Alexander; Palacios, Francisco; Park, Jongsoo; Smelyanskiy, Mikhail; Alonso, Juan J.; Dubey, Pradeep: Performance optimizations for scalable implicit RANS calculations with SU2 (2016)
  9. Nair, Vineeth; Alenius, Emma; Boij, Susann; Efraimsson, Gunilla: Inspecting sound sources in an orifice-jet flow using Lagrangian coherent structures (2016)
  10. Sejekan, Chandan B.; Ollivier-Gooch, Carl F.: Improving finite-volume diffusive fluxes through better reconstruction (2016)
  11. Eliasson, Peter; Weinerfelt, Per: High-order implicit time integration for unsteady turbulent flow simulations (2015)
  12. Otero, Evelyn; Eliasson, Peter: Acceleration on stretched meshes with line-implicit LU-SGS in parallel implementation (2015)
  13. Otero, Evelyn; Eliasson, Peter: Parameter investigation with line-implicit lower-upper symmetric Gauss-Seidel on 3D stretched grids (2015)
  14. Alenius, Emma: Mode switching in a thick orifice jet, an LES and dynamic mode decomposition approach (2014)
  15. Jalali, Alireza; Sharbatdar, Mahkame; Ollivier-Gooch, Carl: Accuracy analysis of unstructured finite volume discretization schemes for diffusive fluxes (2014)
  16. Yao, Hua-Dong; Davidson, Lars; Eriksson, Lars-Erik; Peng, Shia-Hui; Grundestam, Olof; Eliasson, Peter: Surface integral analogy approaches for predicting noise from 3D high-lift now-noise wings (2014)
  17. Nordström, Jan; Eriksson, Sofia; Eliasson, Peter: Weak and strong wall boundary procedures and convergence to steady-state of the Navier-Stokes equations (2012)
  18. Amoignon, Olivier: AESOP -- a numerical platform for aerodynamic shape optimization (2010)
  19. Berggren, Martin; Ekstrom, Sven-Erik; Nordstrom, Jan: A discontinuous Galerkin extension of the vertex-centered edge-based finite volume method (2009)
  20. Eriksson, Sofia; Nordström, Jan: Analysis of the order of accuracy for node-centered finite volume schemes (2009)

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