- Engineering Building III (EB3) 3236
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Dr. Luo is interested in computational fluid dynamics, computational magnetohydrodynamics, computational aeroacoustics, fluid-structure interaction, high-performance computing, and unstructured grid generation.
At the graduate level, Dr. Luo teaches Computation Fluid Dynamics (MAE 766). This course is concerned with the finite difference, finite volume, and finite element methods for solving the governing equations in fluid dynamics. Dr. Luo guides his students toward an expertise in numerical methods and strong capabilities in programming.
At the undergraduate level, he teaches Aerodynamics I (MAE 355) and Heat transfer fundamentals (MAE 310). In Aerodynamics I, he brings in examples over the wide range of flow speeds he has encountered in his own work, like low speed flow past an Indy-racing car, transonic flow around a Boeing 747, supersonic flow past a missile, and hypersonic flow past a space shuttle.
The students who work with Dr. Luo are drawn to his area of research because they find the numerical simulations and modeling, both technically interesting and intellectually challenging, and appreciate the increasingly important role that they play in science and engineering. These students appreciate its major impact on the development, design, and analysis of modern airplanes, high speed trains, advanced ships/submarines, high performance cars, new weapon systems, and nuclear reactors, leading to work opportunities in government/industry/national labs. Dr. Luo looks for students who are self-motivated, hard-working, and strong in mathematics and computer programming.
See also Dr. Luo’s ResearcherID site and his Google Scholar link below.
Outside of work, Dr. Luo enjoys spending time with his family, exercising, and traveling.
Pierre et Marie Curie University
Pierre et Marie Curie University
Nanjing University of Aeronautics and Astronautics
Dr. Luo's long-term goal is to impact engineering and science through the development of innovative numerical methods and advanced computational techniques in the areas of computational fluid dynamics, computational aeroacoustics, and computational magnetohydrodynamics. Dr. Luo is currently developing 1) high-order spatial/temporal discretization methods based on reconstructed discontinuous Galerkin schemes for the next generation of CFD codes in aerospace and nuclear engineering, 2) a hybrid structured-unstructured grid methodology for the analysis of advanced propulsion systems, and 3) advanced unstructured grid methods in magnetohydrodynamics for the understanding and modeling of solar physics phenomena. In MAE, he collaborates with Dr. Edwards.
Honors and Awards
- A reconstructed discontinuous Galerkin method for the compressible Navier-Stokes equations on three-dimensional hybrid grids
- Liu, X. D., Xuan, L. J., Xia, Y. D., & Luo, H. (2017), Computers & Fluids, 152, 217-230.
- A parallel, high-order direct discontinuous Galerkin methods for the Navier-Stokes equations on 3D hybrid grids
- Cheng, J., Liu, X. D., Liu, T. G., & Luo, H. (2017), Communications in Computational Physics, 21(5), 1231-1257.
- A comparative study of Rosenbrock-type and implicit Runge-Kutta time integration for discontinuous galerkin method for unsteady 3D compressible Navier-Stokes equations
- Liu, X. D., Xia, Y. D., Luo, H., & Xuan, L. J. (2016), Communications in Computational Physics, 20(4), 1016-1044.
- A hybrid reconstructed discontinuous Galerkin method for compressible flows on arbitrary grids
- Cheng, J., Liu, T. G., & Luo, H. (2016), Computers & Fluids, 139, 68-79.
- A reconstructed discontinuous Galerkin method for magnetohydrodynamics on arbitrary grids
- Halashi, B. K., & Luo, H. (2016), Journal of Computational Physics, 326, 258-277.
- A direct discontinuous Galerkin method for the compressible Navier-Stokes equations on arbitrary grids
- Cheng, J., Yang, X. Q., Liu, X. D., Liu, T. G., & Luo, H. (2016), Journal of Computational Physics, 327, 484-502.
- A hybrid reconstructed discontinuous Galerkin and continuous Galerkin finite element method for incompressible flows on unstructured grids
- Pandare, A. K., & Luo, H. (2016), Journal of Computational Physics, 322, 491-510.
- A hybrid incremental projection method for thermal-hydraulics applications
- Christon, M. A., Bakosi, J., Nadiga, B. T., Berndt, M., Francois, M. M., Stagg, A. K., Xia, Y. D., & Luo, H. (2016), Journal of Computational Physics, 317, 382-404.
- Assessment of a hybrid finite element and finite volume code for turbulent incompressible flows
- Xia, Y. D., Wang, C. J., Luo, H., Christon, M., & Bakosi, J. (2016), Journal of Computational Physics, 307, 653-669.
- Fully-implicit orthogonal reconstructed Discontinuous Galerkin method for fluid dynamics with phase change
- Nourgaliev, R., Luo, H., Weston, B., Anderson, A., Schofield, S., Dunn, T., & Delplanque, J. R. (2016), Journal of Computational Physics, 305, 964-996.
- Hyperbolic Reconstructed-Discontinuous-Galerkin Method for High-Order Unsteady Viscous Simulations on Unstructured Grids
- US Army - Army Research Office(5/01/16 - 12/31/16)
- High-Fidelity Numerical Simulation of Energy Recovery from Oil Shale
- NCSU Research and Innovation Seed Funding Program(1/01/14 - 12/31/14)
- High Performance Computing for NASA's Applications
- National Aeronautics & Space Administration (NASA)(8/16/13 - 8/15/16)
- Co-Design of Hardware / Software for Predicting MAV Aerodynamics
- US Air Force - Office of Scientific Research (AFOSR)(9/01/12 - 10/31/15)
- Development and Assessment of a Reconstructed Discontinuous Galerkin Method for Compressible Flows at All Speeds
- US Dept. of Energy (DOE)(4/16/12 - 12/31/12)
- Consortium For Advanced Simulations of LWRs - Oak Ridge National Laboratory (ORNL)
- US Dept. of Energy (DOE)(11/23/11 - 9/30/19)
- Unstructured Grid CFD Component for a Modern Reactor Safety Code
- US Dept. of Energy (DOE)(10/05/11 - 9/15/12)
- Development of a Reconstructed Discontinuous Galerkin Method for Computational Magneto-hydrodynamics on Arbitrary Grids
- National Aeronautics & Space Administration (NASA)(3/01/11 - 2/28/12)
- Consortium for Advanced Simulations for Light Water Reactors (CASL) - Oak Ridge National laboratory
- US Dept. of Energy (DOE)(11/30/-1 - 9/30/19)
- Quantification of Uncertainties in WMD Neutralization Predictions by High-Fidelity Models
- Defense Threat Reduction Agency (DTRA)(10/11/10 - 10/10/13)