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 43 articles )

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  1. 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)
  2. 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)
  3. 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
  4. Kashi, Aditya; Nadarajah, Sivakumaran: An asynchronous incomplete block LU preconditioner for computational fluid dynamics on unstructured grids (2021)
  5. 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)
  6. Morelli, Myles; Bellosta, Tommaso; Guardone, Alberto: Development and preliminary assessment of the open-source CFD toolkit SU2 for rotorcraft flows (2021)
  7. Morelli, Myles; Bellosta, Tommaso; Guardone, Alberto: Efficient radial basis function mesh deformation methods for aircraft icing (2021)
  8. Chen, Liming; Qiu, Haobo; Gao, Liang; Jiang, Chen; Yang, Zan: Optimization of expensive black-box problems via gradient-enhanced Kriging (2020)
  9. 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)
  10. 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)
  11. Gori, G.; Zocca, M.; Guardone, A.; Le Maître, O. P.; Congedo, P. M.: Bayesian inference of thermodynamic models from vapor flow experiments (2020)
  12. Kulkarni, Mandar D.; Canfield, Robert A.; Patil, Mayuresh J.: Nonintrusive continuum sensitivity analysis for fluid applications (2020)
  13. Lam, Remi R.; Zahm, Olivier; Marzouk, Youssef M.; Willcox, Karen E.: Multifidelity dimension reduction via active subspaces (2020)
  14. Mohanamuraly, P.; Hascoët, L.; Müller, J.-D.: Seeding and adjoining zero-halo partitioned parallel scientific codes (2020)
  15. Razaaly, Nassim; Persico, Giacomo; Gori, Giulio; Congedo, Pietro Marco: Quantile-based robust optimization of a supersonic nozzle for organic rankine cycle turbines (2020)
  16. van den Bos, Laurent; Sanderse, Benjamin; Bierbooms, Wim; van Bussel, Gerard: Generating nested quadrature rules with positive weights based on arbitrary sample sets (2020)
  17. Vassilevski, Yuri; Terekhov, Kirill; Nikitin, Kirill; Kapyrin, Ivan: Parallel finite volume computation on general meshes (2020)
  18. Wong, Chun Yui; Seshadri, Pranay; Parks, Geoffrey T.; Girolami, Mark: Embedded ridge approximations (2020)
  19. Zhang, Xin-Lei; Michelén-Ströfer, Carlos; Xiao, Heng: Regularized ensemble Kalman methods for inverse problems (2020)
  20. Cheng, Kai; Lu, Zhenzhou; Zhen, Ying: Multi-level multi-fidelity sparse polynomial chaos expansion based on Gaussian process regression (2019)

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