SU2

The SU2 suite is an open-source collection of C++ based software tools for performing Partial Differential Equation (PDE) analysis and solving PDE-constrained optimization problems. The toolset is designed with Computational Fluid Dynamics (CFD) and aerodynamic shape optimization in mind, but is extensible to treat arbitrary sets of governing equations such as potential flow, elasticity, electrodynamics, chemically-reacting flows, and many others. SU2 is under active development by the Aerospace Design Lab (ADL) of the Department of Aeronautics and Astronautics at Stanford University and many members of the community, and is released under an open-source license.


References in zbMATH (referenced in 54 articles )

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  1. Elizabeth Julia Monte, Alexandru Andrei Vasile, James Lowman, Nasser Mohieddin Abukhdeir: OpenCMP: An Open-Source Computational Multiphysics Package (2022) not zbMATH
  2. Li, Gaohua; Wang, Fuxin: A multiple instance solver framework based on dynamic overset grid method for flow field simulation of array configuration with moving components (2022)
  3. Martins, Joaquim R. R. A.: Aerodynamic design optimization: challenges and perspectives (2022)
  4. Arizmendi Gutiérrez, Bárbara; Noce, Alberto Della; Gallia, Mariachiara; Bellosta, Tommaso; Guardone, Alberto: Numerical simulation of a thermal ice protection system including state-of-the-art liquid film model (2021)
  5. Benjamin Rodenberg, Ishaan Desai, Richard Hertrich, Alexander Jaust, Benjamin Uekermann: FEniCS-preCICE: Coupling FEniCS to other simulation software (2021) not zbMATH
  6. Chen, Li-Wei; Cakal, Berkay A.; Hu, Xiangyu; Thuerey, Nils: Numerical investigation of minimum drag profiles in laminar flow using deep learning surrogates (2021)
  7. Devaraj, Manoj Kumar K.; Jutur, Prahallada; Rao, Srisha M. V.; Jagadeesh, Gopalan; Anavardham, Ganesh T. K.: Length scale for the estimation of buzz frequency in the limit of high mechanical blockage in mixed-compression intakes (2021)
  8. E. Alinovi, J. Guerrero: FLUBIO -An unstructured, parallel, finite-volume based Navier–Stokes and convection-diffusion like equations solver for teaching and research purposes (2021) not zbMATH
  9. Ghantasala, Aditya; Najian Asl, Reza; Geiser, Armin; Brodie, Andrew; Papoutsis, Efthymios; Bletzinger, Kai-Uwe: Realization of a framework for simulation-based large-scale shape optimization using vertex morphing (2021)
  10. Kashi, Aditya; Nadarajah, Sivakumaran: An asynchronous incomplete block LU preconditioner for computational fluid dynamics on unstructured grids (2021)
  11. Mazhar, Farrukh; Javed, Ali; Xing, Jing Tang; Shahzad, Aamer; Mansoor, Mohtashim; Maqsood, Adnan; Shah, Syed Irtiza Ali; Asim, Kamran: On the meshfree particle methods for fluid-structure interaction problems (2021)
  12. Morelli, Myles; Bellosta, Tommaso; Guardone, Alberto: Development and preliminary assessment of the open-source CFD toolkit SU2 for rotorcraft flows (2021)
  13. Morelli, Myles; Bellosta, Tommaso; Guardone, Alberto: Efficient radial basis function mesh deformation methods for aircraft icing (2021)
  14. Roshan Samuel, Shashwat Bhattacharya, Ali Asad, Soumyadeep Chatterjee, Mahendra K. Verma, Ravi Samtaney, Syed Fahad Anwer: SARAS: A general-purpose PDE solver for fluid dynamics (2021) not zbMATH
  15. Yutuk, Kaan; Tikenogullari, Alp; Tuncer, Ismail H.: Numerical investigation of vortical flows over a close-coupled delta canard-wing configuration (2021)
  16. Chen, Liming; Qiu, Haobo; Gao, Liang; Jiang, Chen; Yang, Zan: Optimization of expensive black-box problems via gradient-enhanced Kriging (2020)
  17. Ekici, Kivanc; Djeddi, Reza; Li, Hang; Frankel, Jay I.: Modeling periodic and non-periodic response of dynamical systems using an efficient Chebyshev-based time-spectral approach (2020)
  18. Gori, G.; Zocca, M.; Cammi, G.; Spinelli, A.; Congedo, P. M.; Guardone, A.: Accuracy assessment of the non-ideal computational fluid dynamics model for siloxane MDM from the open-source SU2 suite (2020)
  19. Gori, G.; Zocca, M.; Guardone, A.; Le Maître, O. P.; Congedo, P. M.: Bayesian inference of thermodynamic models from vapor flow experiments (2020)
  20. Kulkarni, Mandar D.; Canfield, Robert A.; Patil, Mayuresh J.: Nonintrusive continuum sensitivity analysis for fluid applications (2020)

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