FUN3D

The solver has been applied to a number of complex large-scale problems by groups at NASA Langley, industry, and academia. (See the Applications section of this manual.) Internally, the software has been used to study airframe noise, space transportation vehicles, flow control devices using synthetic jets, the design of wind tunnel and flight experiments, and so forth. Boeing, Lockheed, Cessna, New Piper, and others have used the tools for applications such as high-lift, cruise performance, and studies of revolutionary concepts. The software has also been used for military applications, large-scale computer science research at national labs, as well as algorithmic studies performed at universities around the country. For example, researchers at Georgia Tech have been using FUN3D as their base for rotorcraft work.


References in zbMATH (referenced in 29 articles )

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  1. Chen, Wenqian; Ju, Yaping; Zhang, Chuhua: A collocated-grid spectral difference method for compressible flows (2020)
  2. Kumar, Vinay; Sharma, Atul; Singh, R. K.: Central upwind scheme based immersed boundary method for compressible flows around complex geometries (2020)
  3. Rumpfkeil, Markus P.; Beran, Philip: Multi-fidelity surrogate models for flutter database generation (2020)
  4. Ching, Eric J.; Lv, Yu; Gnoffo, Peter; Barnhardt, Michael; Ihme, Matthias: Shock capturing for discontinuous Galerkin methods with application to predicting heat transfer in hypersonic flows (2019)
  5. Du, Pan; Agarwal, Ramesh K.: Numerical drag prediction of NASA Common research models using different turbulence models (2019)
  6. Bakhvalov, Pavel; Kozubskaya, Tatiana: Reprint of: “EBR-WENO scheme for solving gas dynamics problems with discontinuities on unstructured meshes” (2018)
  7. Dong, Yidao; Deng, Xiaogang; Gao, Xiang; Xiong, Min; Wang, Guangxue: A comparative study of boundary conditions for the density-based solvers in the framework of OpenFoam (2018)
  8. Garicano-Mena, Jesús; Lani, Andrea; Degrez, Gérard: An entropy-variables-based formulation of residual distribution schemes for non-equilibrium flows (2018)
  9. Pan, Dongxin; Zhong, Chengwen; Zhuo, Congshan: An implicit gas-kinetic scheme for turbulent flow on unstructured hybrid mesh (2018)
  10. Antoniadis, Antonis F.; Tsoutsanis, Panagiotis; Drikakis, Dimitris: Assessment of high-order finite volume methods on unstructured meshes for RANS solutions of aeronautical configurations (2017)
  11. Bakhvalov, Pavel; Kozubskaya, Tatiana: EBR-WENO scheme for solving gas dynamics problems with discontinuities on unstructured meshes (2017)
  12. Nishikawa, Hiroaki; Liu, Yi: Accuracy-preserving source term quadrature for third-order edge-based discretization (2017)
  13. Nishikawa, Hiroaki; Nakashima, Yoshitaka; Watanabe, Norihiko: Effects of high-frequency damping on iterative convergence of implicit viscous solver (2017)
  14. Choudhary, Aniruddha; Roy, Christopher J.; Luke, Edward A.; Veluri, Subrahmanya P.: Code verification of boundary conditions for compressible and incompressible computational fluid dynamics codes (2016)
  15. Günther, Stefanie; Gauger, Nicolas R.; Wang, Qiqi: Simultaneous single-step one-shot optimization with unsteady PDEs (2016)
  16. Jessup, Elizabeth; Motter, Pate; Norris, Boyana; Sood, Kanika: Performance-based numerical solver selection in the Lighthouse framework (2016)
  17. Jones, Martin; Yamaleev, Nail K.: Effect of lateral, downward, and frontal gusts on flapping wing performance (2016)
  18. Mueller, Jens-Dominik: Essentials of computational fluid dynamics (2016)
  19. Todarello, Giovanni; Vonck, Floris; Bourasseau, Sébastien; Peter, Jacques; Désidéri, Jean-Antoine: Finite-volume goal-oriented mesh adaptation for aerodynamics using functional derivative with respect to nodal coordinates (2016)
  20. Vilela de Abreu, Rodrigo; Jansson, Niclas; Hoffman, Johan: Computation of aeroacoustic sources for a Gulfstream G550 nose landing gear model using adaptive FEM (2016)

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