SU2

SU2

SU2 is an open-source software for performing multiphysics simulation and design optimization. It specializes in computational fluid dynamics and aerodynamic shape optimization. SU2 is widely used in academia and industry for problems involving aerodynamics, aeroelasticity, and m
cfd aerodynamics multiphysics open-source

SU2: Open-Source Multiphysics Simulation and Design Optimization Software

SU2 is an open-source software for performing multiphysics simulation and design optimization. It specializes in computational fluid dynamics and aerodynamic shape optimization. SU2 is widely used in academia and industry for problems involving aerodynamics, aeroelasticity, and multiphase physics.

What is SU2?

SU2 is an open-source software suite for multiphysics simulation and design optimization. It originated as a dedicated computational fluid dynamics (CFD) solver but has expanded to handle aerodynamics, aeroelasticity, and multiphase physics problems. Some of the key features and applications of SU2 include:

- Reynolds-averaged Navier-Stokes (RANS) and large eddy simulation (LES) for aerodynamic analysis and design optimization

- Discrete adjoint solver for efficient gradient-based shape optimization

- Structural finite element analysis solver for fluid-structure interaction and aeroelastic simulations

- Conjugate heat transfer and multiphase capabilities

- Applications in aerospace engineering, automotive design, turbomachinery, biomedical devices and more

SU2 is written in C++ and Python and has an active community contributing to its development. It leverages techniques like object-oriented programming, software portability layers, and auto-differentiation tools. SU2 aims to provide accuracy, modularity, and rapid implementation of state-of-the-art multiphysics analysis and design techniques. It is free, open-source software distributed under the GNU Lesser General Public License.

SU2 Features

Features

  1. Computational fluid dynamics
  2. Aerodynamic shape optimization
  3. Aeroelasticity analysis
  4. Multiphysics simulations
  5. Parallel processing capabilities

Pricing

  • Open Source

Pros

Open source and free

Wide range of simulation capabilities

Active development community

Used in academia and industry

Cons

Steep learning curve

Limited user support compared to commercial software

Requires expertise in CFD and programming


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