Biblio

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R
Darmofal, D. L., Murman, E. M., and Love, M., Re-engineering aerodynamics education, AIAA conference paper, no. 2001-0870, 2001.
Fidkowski, K. J., and Darmofal, D. L., Review of output-based error estimation and mesh adaptation in computational fluid dynamics, AIAA Journal, vol. 49, no. 4, 2011, pp. 673–694.
Kudo, J., Robust Adaptive High-Order RANS Methods, Masters Thesis, Massachusetts Institute of Technology, 2014.
Siu, K., A Robust, Locally Preconditioned Multigrid Algorithm for the Euler Equations, Masters Thesis, Texas A&M University, 1998.
Cain, M., A Robust, Locally Preconditioned Multigrid Algorithm for the Navier-Stokes Equations, Masters Thesis, Texas A&M University, 1999.
Darmofal, D. L., and Siu, K., A Robust Multigrid Algorithm for the Euler Equations with Local Preconditioning and Semi-coarsening, Journal of Computational Physics, vol. 151, no. 2, 1999, pp. 728 - 756.
Sun, H., A Robust Simplex Cut-Cell Method for Adaptive High-Order Finite Element Discretizations of Aerodynamics and Multi-Physics Problems, Phd Thesis, Massachusetts Institute of Technology, 2013.
Sun, H., Darmofal, D. L., and Haimes, R., A robust simplex cut-cell method for high-order discontinuous Galerkin discretizations of three-dimensional aerodynamic problems, AIAA conference paper, no. 2013–3082, 2013.
Darmofal, D. L., The role of vorticity dynamics in vortex breakdown, AIAA conference paper, no. AIAA-93-3036, 1993.
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Galbraith, M. C., Allmaras, S. R., and Darmofal, D. L., SANS RANS solutions for 3D benchmark configurations, AIAA conference paper, no. 2018–1570, 2018.
Drela, M., Huang, A. C., and Darmofal, D. L., Screened expanding turning vane concept, AIAA conference paper, no. 2019–1613, 2019.
Drela, M., Huang, A., and Darmofal, D., Screened Expanding Turning Vane Concept, Experiments in Fluids, In Press.
Krakos, J. A., Wang, Q., Hall, S. R., and Darmofal, D. L., Sensitivity analysis of limit cycle oscillations, Journal of Computational Physics, vol. 231, no. 8, 2012, pp. 3228 - 3245.
Lavainne, J., Sensitivity of a Compressor Repeating-stage to Geometry Variation, Masters Thesis, Massachusetts Institute of Technology, 2003.
Barter, G. E., Shock Capturing with PDE-Based Artificial Viscosity for an Adaptive, Higher-Order, Discontinuous Galerkin Finite Element Method, Masters Thesis, Massachusetts Institute of Technology, 2008.
Barter, G. E., and Darmofal, D. L., Shock capturing with PDE-based artificial viscosity for DGFEM: Part I, Formulation, Journal of Computational Physics, vol. 229, no. 5, 2010, pp. 1810–1827.
Fidkowski, K. J., A Simplex Cut-Cell Adaptive Method for High-Order Discretizations of the Compressible Navier-Stokes Equations, Phd Thesis, Massachusetts Institute of Technology, 2007.
Singh, K. D., Software Development for an Improved Particle Image Velocimetry, Masters Thesis, Texas A&M University, 1998.
Wong, J. S., Darmofal, D. L., and Peraire, J., The solution of the compressible Euler equations at low Mach numbers using a stabilized finite element algorithm, Computer Methods in Applied Mechanics and Engineering, vol. 190, no. 43, 2001, pp. 5719 - 5737.
Jayasinghe, Y. S., A Space-time Adaptive Method for Flows in Oil Reservoirs, Masters Thesis, Massachusetts Institute of Technology, 2015.
Jayasinghe, Y. S., Darmofal, D. L., Burgess, N. K., Galbraith, M. C., and Allmaras, S. R., A space-time adaptive method for reservoir flows: Formulation and one-dimensional application, Computational Geosciences, vol. 22, 2018, pp. 107-123.
Zhang, S., Drela, M., Allmaras, S. R., Galbraith, M. C., and Darmofal, D. L., A strongly-coupled non-parametric integral boundary layer method for aerodynamic analysis with free transition, AIAA conference paper, no. 2019-1154, 2019.
Darmofal, D. L., A Study of the Mechanisms of Axisymmetric Vortex Breakdown, Phd Thesis, Massachusetts Institute of Technology, 1993.

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