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SU2

SU2, Multiphysics Simulation and Design Software

LGPL-2.1aerospace/cfd
★ 2k
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An open-source C++ and Python suite for solving PDE-based multiphysics problems and PDE-constrained aerodynamic design optimization.

About the Project

Why use this?

SU2 is an open-source collection of software tools for solving partial-differential-equation analysis and PDE-constrained optimization problems on unstructured meshes. Its CFD solver handles direct, adjoint, and linearized solutions of the Euler, Navier-Stokes, and Reynolds-Averaged Navier-Stokes equations, with support for compressible and incompressible flow, heat transfer, and non-ideal gases.

Aerospace engineers choose SU2 when they need not only flow analysis but also gradient-based shape optimization, adjoint sensitivity analysis, and high-performance multiphysics simulation. It is widely applicable to aircraft, propulsion, automotive, marine, and renewable-energy problems, and its modular C++/Python architecture makes it suitable for research into new numerical methods and design workflows. [215][216][223]

Key Features

  • Euler, Navier-Stokes, and RANS solvers with direct, adjoint, and linearized analysis
  • Discrete adjoints and PDE-constrained shape optimization
  • Compressible, incompressible, non-ideal, and heat-transfer flow capabilities
  • Unstructured-mesh CFD with MPI parallelization
  • C++ core with Python tooling for optimization and automation
Replaces / Alternative to
ANSYS Fluent, STAR-CCM+, commercial adjoint optimization tools
Free layer
open-source