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SU2 code
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SU2 code : ウィキペディア英語版
SU2 code

SU2 is a suite of open-source software tools written in C++ for the numerical solution of partial differential equations (PDE) and performing PDE constrained optimization. The primary applications are computational fluid dynamics and aerodynamic shape optimization,〔(F. Palacios, M. R. Colonno, A. C. Aranake, A. Campos, S. R. Copeland, T. D. Economon, A. K. Lonkar, T. W. Lukaczyk, T. W. R. Taylor, and J. J. Alonso, "Stanford University Unstructured (SU2): An open-source integrated computational environment for multi-physics simulation and design", AIAA Paper 2013-0287, 51st AIAA Aerospace Sciences Meeting and Exhibit. January 7th - 10th, 2013. Grapevine, Texas, USA. )〕 but has been extended to treat more general equations such as electrodynamics and chemically reacting flows.
SU2 is being developed by individuals and organized teams around the world. The SU2 Lead Developers are: Dr. Francisco Palacios and Dr. Thomas D. Economon.
The most active groups developing SU2 are:
* Prof. Juan J. Alonso's group at Stanford University.
* Prof. Piero Colonna's group at Delft University of Technology.
* Prof. Nicolas R. Gauger's group at Kaiserslautern University of Technology.
* Prof. Alberto Guardone's group at Polytechnic University of Milan.
* Prof. Rafael Palacios' group at Imperial College London.
==Capabilities==
The SU2 tools suite solution suite includes〔(SU2 about page )〕
*High-fidelity analysis and adjoint-based design using unstructured mesh technology.
*Compressible and incompressible Euler, Navier-Stokes, and RANS solvers.
*Additional PDE solvers for electrodynamics, linear elasticity, heat equation, wave equation and thermochemical non-equilibrium.
*Convergence acceleration (multi-grid, preconditioning, etc.).
*Sensitivity information via the continuous adjoint methodology〔(A. Bueno-Orovio, C. Castro, F. Palacios, and E. Zuazua "Continuous Adjoint Approach for the Spalart-Allmaras Model in Aerodynamic Optimization", AIAA Journal Vol. 50, No. 3, March 2012. )〕 approach.
*Adaptive, goal-oriented mesh refinement and deformation.
*Modularized 〔(SU2 tools list )〕 C++ object-oriented design.
*Parallelization with MPI.
*Python scripts for automation.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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