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 52 articles )

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  1. Bakhvalov, P. A.; Surnachev, M. D.: Method of averaged element splittings for diffusion terms discretization in vertex-centered framework (2022)
  2. Balan, Aravind; Park, Michael A.; Wood, Stephen L.; Anderson, W. Kyle; Rangarajan, Ajay; Sanjaya, Devina P.; May, Georg: A review and comparison of error estimators for anisotropic mesh adaptation for flow simulations (2022)
  3. 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)
  4. Vila-PĂ©rez, Jordi; Giacomini, Matteo; Sevilla, Ruben; Huerta, Antonio: A non-oscillatory face-centred finite volume method for compressible flows (2022)
  5. Bridel-Bertomeu, Thibault: Immersed boundary conditions for hypersonic flows using ENO-like least-square reconstruction (2021)
  6. Erb, Aaron; Hosder, Serhat: Analysis and comparison of turbulence model coefficient uncertainty for canonical flow problems (2021)
  7. Nishikawa, Hiroaki: A hyperbolic Poisson solver for wall distance computation on irregular triangular grids (2021)
  8. Nishikawa, Hiroaki: On false accuracy verification of UMUSCL scheme (2021)
  9. Ahrabi, Behzad R.; Mavriplis, Dimitri J.: An implicit block ILU smoother for preconditioning of Newton-Krylov solvers with application in high-order stabilized finite-element methods (2020)
  10. Chen, Wenqian; Ju, Yaping; Zhang, Chuhua: A collocated-grid spectral difference method for compressible flows (2020)
  11. Falsafioon, Mehdi; Arabi, Sina; Camarero, Ricardo; Guibault, Francois: Moving meshes in complex configurations using the composite sliding grid method (2020)
  12. Jude, Dylan; Sitaraman, Jayanarayanan; Lakshminarayan, Vinod; Baeder, James: An overset generalised minimal residual method for the multi-solver paradigm (2020)
  13. Komala-Sheshachala, Sanjay; Sevilla, Ruben; Hassan, Oubay: A coupled HDG-FV scheme for the simulation of transient inviscid compressible flows (2020)
  14. Kumar, Vinay; Sharma, Atul; Singh, R. K.: Central upwind scheme based immersed boundary method for compressible flows around complex geometries (2020)
  15. Nishikawa, Hiroaki: A hyperbolic Poisson solver for tetrahedral grids (2020)
  16. Nishikawa, Hiroaki: A face-area-weighted `centroid’ formula for finite-volume method that improves skewness and convergence on triangular grids (2020)
  17. Nishikawa, Hiroaki: On the loss and recovery of second-order accuracy with U-MUSCL (2020)
  18. Nishikawa, Hiroaki; White, Jeffery A.: An efficient cell-centered finite-volume method with face-averaged nodal-gradients for triangular grids (2020)
  19. Roget, Beatrice; Sitaraman, Jay; Lakshminarayan, Vinod; Wissink, Andrew: Prismatic mesh generation using minimum distance fields (2020)
  20. Rumpfkeil, Markus P.; Beran, Philip: Multi-fidelity surrogate models for flutter database generation (2020)

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