Biblio

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Author [ Title(Desc)] Type Year
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M
Yano, M., “Massively Parallel Solver for the High-Order Galerkin Least-Squares Method”, Masters Thesis, Massachusetts Institute of Technology, 2009.
Carson, H. A., Huang, A. C., Galbraith, M. C., Allmaras, S. R., and Darmofal, D. L., “Mesh optimization via error sampling and synthesis: An update”, AIAA conference paper, no. 2020-0087, 2020.
Srinivasan, V., “Multidiscipinary Simulation of a Flexible Hydrofoil”, Masters Thesis, Texas A&M University, 1998.
Oliver, T. A., “Multigrid Solution for High-order Discontinuous Galerkin Discretizations of the Compressible Navier-Stokes Equations”, Masters Thesis, Massachusetts Institute of Technology, 2004.
N
Cary, A., “Non-axisymmetric Effects in Vortex Breakdown”, Phd Thesis, University of Michigan, 1997.
Zhang, S., Galbraith, M. C., Allmaras, S. R., Drela, M., and Darmofal, D. L., “A non-parametric discontinuous Galerkin formulation of the integral boundary layer equations with strong viscous/inviscid coupling”, AIAA conference paper, no. 2017-4278, 2017.
Zhang, S., “A Non-parametric Discontinuous Galerkin Formulation of the Integral Boundary Layer Equations with Strong Viscous-inviscid Coupling”, Masters Thesis, Massachusetts Institute of Technology, 2018.
O
Liu, E. H., “Optimization and validation of discontinuous Galerkin code for the 3D Navier-Stokes equations”, Masters Thesis, Massachusetts Institute of Technology, 2011.
Yano, M., “An Optimization Framework for Adaptive Higher-Order Discretizations of Partial Differential Equations on Anisotropic Simplex Meshes”, Phd Thesis, Massachusetts Institute of Technology, 2012.
Yano, M., and Darmofal, D. L., “An optimization framework for anisotropic simplex mesh adaptation: Application to aerodynamic flows”, AIAA conference paper, no. 2012–0079, 2012.
Yano, M., and Darmofal, D. L., “An optimization-based framework for anisotropic simplex mesh adaptation”, Journal of Computational Physics, vol. 231, no. 22, 2012, pp. 7626–7649.
Modisette, J. M., “An Output-based Adaptive and Higher-Order Method for a Rotor in Hover”, Masters Thesis, Massachusetts Institute of Technology, 2008.
Modisette, J. M., and Darmofal, D. L., “An output-based adaptive and higher-order method for a rotor in hover”, AIAA conference paper, no. 2008-7343, 2008.
P
Fidkowski, K. J., Oliver, T. A., Lu, J., and Darmofal, D. L., “p-Multigrid solution of high-order discontiunous Galerkin discretizations of the compressible Navier-Stokes equations”, Journal of Computational Physics, vol. 207, no. 1, 2005, pp. 92–113.
Park, M. A., and Darmofal, D. L., “Parallel anisotropic tetrahedral adaptation”, AIAA conference paper, no. 2008-917, 2008.
Mavriplis, D. J., Darmofal, D. L., Keyes, D. E., and Turner, M. G., “Petaflops opportunities for the NASA fundamental aeronautics program”, AIAA conference paper, no. 2007-4084, 2007.
Bradshaw, S. D., “Physics-based, Reduced-order Combustor Flow Modeling”, Masters Thesis, Massachusetts Institute of Technology, 2002.
Lu, J., “An a Posteriori Error Control Framework for Adaptive Precision Optimization Using Discontinuous Galerkin Finite Element Method”, Phd Thesis, Massachusetts Institute of Technology, 2005.
Diosady, L. T., and Darmofal, D. L., “Preconditioning methods for discontinuous Galerkin solutions of the Navier-Stokes equations”, Journal of Computational Physics, vol. 228, 2009, pp. 3917–3935.
Carson, H. A., “A Priori Analysis of Global and Local Output Error Estimates for CG, DG and HDG Finite Element Discretizations”, Masters Thesis, Massachusetts Institute of Technology, 2016.
Garzon, V. E., “Probabilistic Aerothermal Design of Compressor Airfoils”, Phd Thesis, Massachusetts Institute of Technology, 2003.
Kountras, A., “Probabilistic Analysis of Turbine Blade Durability”, Masters Thesis, Massachusetts Institute of Technology, 2004.
Lamb, C. M., “Probabilistic Performance-Based Geometric Tolerancing of Compressor Blades”, Masters Thesis, Massachusetts Institute of Technology, 2005.
Moeckel, C. W., “Probabilistic Turbine Blade Thermal Analysis of Manufacturing Variability and Toleranced Designs”, Masters Thesis, Massachusetts Institute of Technology, 2006.
Carson, H. A., “Provably Convergent Anisotropic Output-Based Adaptation for Continuous Finite Element Discretizations”, Phd Thesis, Massachusetts Institute of Technology, 2019.

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