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Dr David Petty

Dr David Petty

Lecturer

PhD (Aerospace Engineering), The University of Queensland, 2015

BE (Mechanical & Space) with Hons / BSc (Mathematics), The University of Queensland, 2009

UNSW Canberra
School of Eng & Tech

Dr David Petty joined 91成人版抖音as a lecturer in 2022. Research into high-fidelity variable-density turbulence modelling was undertaken at the University of Illinois at Urbana-Champaign as a research scientists in the Center for Exascale Simulation of Plasma-Coupled Combustion. Another active area of research is state-to-state modelling of vibrational nonequilibrium gasdynamics in supersonic expanding flows.

Research Experience

  • Hypersonics
  • Turbulence Modelling and Simulation
  • Nonequilibrium real-gas physics
Phone
+61-2-5114 5393
E-mail
d.petty@adfa.edu.au
Location
Building 17 Room 127 School of Engineering and Information Technology, The University of New South Wales Canberra, PO Box 7916, Canberra BC ACT 2610, AUSTRALIA
  • Journal articles | 2019
    Petty DJ; Pantano C, 2019, 'A semi-Lagrangian direct-interaction closure of the spectra of isotropic variable-density turbulence', Journal of Fluid Mechanics, 876, pp. 186 - 236,
    Journal articles | 2016
    Smith TA; Petty DJ; Pantano C, 2016, 'A Roe-like numerical method for weakly hyperbolic systems of equations in conservation and non-conservation form', Journal of Computational Physics, 316, pp. 117 - 138,
    Journal articles | 2013
    Petty DJ; Wheatley V; Smart MK; Razzaqi SA, 2013, 'Effects of oxygen enrichment on scramjet performance', AIAA Journal, 51, pp. 226 - 235,
  • Conference Papers | 2024
    Petty DJ; O'Byrne S, 2024, 'Linearly implicit integration of vibrational master equation using automatic differentiation', in AIP Conference Proceedings,
    Conference Papers | 2012
    Barth JE; Wheatley V; Smart MK; Petty DJ; Basore KD, 2012, 'Flow physics inside a shape-transitioning scramjet engine', in 18th AIAA/3AF International Space Planes and Hypersonic Systems and Technologies Conference 2012

My Research Supervision

  • Direct Simulation Monte Carlo implementation on FPGAs