Pavel Popov

 

  • Dr. Pavel Popov has broad interests in computational combustion with applications to aerospace propulsion. His research interests include combustion instability in aerospace engines, stochastic modelling of turbulent combustion, plasma-combustion interactions simulation of multiphase flow, turbulence modelling and high-performance computing.

  • Dr. Popov has developed and contributed to the development of a number of computational algorithms which have been successfully used to simulate combustion processes. These include a particle/finite volume code for the computation of turbulent combustion with significant local extinction, reduced-order methods for the simulation and uncertainty quantification of liquid-propellant rocket engine instability, and high-order finite difference methods for the simulation of plasma-combustion instability.

  • APSDFD Gallery of Fluid Motion Poster Award, 2016
  • AFOSR grant FA9550-12-1-0156, 2015
  • Cornell Fluid Dynamics Seminar - Jayesh prize for outstanding presentation, 2011
  • PhD in Aerospace Engineering - Cornell University, 2013
  • MS in Aerospace Engineering - Cornell University, 2010
  • BS in Mechanical Engineering - Cornell University, 2007
  • Combustion
  • Aerospace propulsion
  • Computational fluid dynamics
  • High-performance computing
  • Stochastic computation
  • Popov, P.P., Buchta, D.A., Anderson, M.J., Massa, L., Capecelatro, J., Bodony, D.J. and Freund, J.B., Machine Learning-Assisted Early Ignition Prediction in a Complex Flow, Combustion and Flame, 206, pp. 451-466, 2019
  • Nguyen, T.M., Popov, P.P., and Sirignano, W.A., Longitudinal Combustion Instability in a Rocket Engine with a Single Coaxial Injector, Journal of Propulsion and Power, 2017, https://doi.org/10.2514/1.B36516
  • Popov, P.P., Sideris, A., and Sirignano, W.A., Low-probability Events Leading to Rocket Engine Combustion Instability, AIAA Journal, 55, (3), pp. 919-929, 2017
  • Jarrahbashi, D., Sirignano, W.A., Popov, P.P., and Hussain, F., Numerical Simulation of Liquid Round Jet Atomization, Physical Review Fluids, 2, 090504, 2017
  • Popov, P.P., and Sirignano, W.A., Transverse Combustion Instability in a Rectangular Rocket Motor, Journal of Propulsion and Power, 32, (1), 2016, pp. 620-627
  • Jarrahbashi, D., Sirignano, W.A., Popov, P.P., and Hussain, F., Early Spray Development at High Gas Density: Hole, Ligament and Bridge Formations, Journal of Fluid Mechanics, 792, 2016, pp. 186-231
  • Popov, P.P., Sideris, A, and Sirignano, W.A., Triggering and Restabilization of Combustion Instability with Rocket Motor Acceleration, AIAA Journal, 54, (4), 2016, pp. 1652-1659
  • Popov, P.P., Sirignano, W.A., and Sideris, A., Propellant Injector Influence on Liquid-Propellant Rocket Engine Instability, Journal of Propulsion and Power, 31, 2015, pp. 320-331
  • Popov, P.P., Sideris, A., and Sirignano, W.A., Stochastic Modelling of Transverse Wave Instability in a Liquid-Propellant Rocket Engine, Journal of Fluid Mechanics, 745, 2014, pp. 62-91
  • Popov, P.P., and Pope, S.B., Large Eddy Simulation/Probability Density Function Simulations of Bluff-Body Stabilized Flames, Combustion and Flame, 161, 2014, pp. 3100-3133
  • Popov, P.P., and Pope, S.B., Implicit and Explicit Schemes for Mass Consistency Preservation in Hybrid Particle/Finite-Volume Algorithms for Turbulent Reactive Flows, Journal of Computational Physics, 257, 2014, pp. 352-373
  • Sirignano, W.A., and Popov, P.P., Two-Dimensional Model for Liquid-Rocket Transverse Combustion Instability, AIAA Journal, 51, 2013, pp. 2919-2934
  • Popov, P.P., and Pope, S.B., The Direct Richardson p-th Order (DRP) Schemes: A New Class of Time Integration Schemes for Stochastic Differential Equations, SIAM Journal on Scientific Computing, 34, 2012, pp. A137-A160
  • Popov, P.P., Wang, H., and Pope, S.B., Specific Volume Coupling and Convergence Properties in Hybrid Particle/Finite Volume Algorithms for Turbulent Reactive Flows, Journal of Computational Physics, 294, 2015, pp.110-126
  • Wang, H., Popov, P.P., and Pope, S.B., Weak Second Order Splitting Schemes for Lagrangian Monte Carlo Particle Methods for the Composition PDF/FDF Transport Equations, Journal of Computational Physics, 229, 2010, pp. 1852-1878
  • Popov, P.P., McDermott, R., and Pope, S.B., An Accurate Time Advancement Algorithm for Particle Tracking, Journal of Computational Physics, 227, 2008, pp. 8792-8806