Photo of Xiang Yang

Xiang Yang

Assistant Professor

Affiliation(s):

  • Mechanical and Nuclear Engineering
  • Mechanical Engineering

Research Areas:

Computational and Experimental Fluid Dynamics, Thermal/Fluid Sciences

Interest Areas:

Computational fluid mechanics, reduced-order modeling, LES wall modeling, electro-convection, high speed flows, data-based turbulence modeling, drag reduction

 
 

 

Education

  • BS, Mechanical Engineering, Peking University, 2012
  • Ph D, Mechanical Engineering, Johns Hopkins University, 2016

Publications

Journal Articles

  • Xiang Yang and MF Howland, 2018, "Implication of Taylor’s hypothesis on measuring flow modulation", Journal of Fluid Mechanics, 836, pp. 222--237
  • Xiang Yang, Lozano-Dur\'an and A, 2017, "A multifractal model for the momentum transfer process in wall-bounded flows", Journal of Fluid Mechanics, 824
  • Xiang Yang, ST Bose and P Moin, 2017, "A physics-based interpretation of the slip-wall LES model", Annual Research Briefs, pp. 65--74
  • Xiang Yang, J Urzay, S Bose and P Moin, 2017, "Aerodynamic Heating in Wall-Modeled Large-Eddy Simulation of High-Speed Flows", AIAA Journal, pp. 1--12
  • Jasim Sadique, Xiang Yang, Charles Meneveau and Rajat Mittal, 2017, "Aerodynamic properties of rough surfaces with high aspect-ratio roughness elements: effect of aspect ratio and arrangements", Boundary-Layer Meteorology, 163, (2), pp. 203--224
  • Xiang Yang and Rajat Mittal, 2017, "Efficient relaxed-Jacobi smoothers for multigrid on parallel computers", Journal of Computational Physics, 332, pp. 135--142
  • Xiang Yang, George Ilhwan Park and Parviz Moin, 2017, "Log-layer mismatch and modeling of the fluctuating wall stress in wall-modeled large-eddy simulations", Physical Review Fluids, 2, (10), pp. 104601
  • Xiang Yang and C Meneveau, 2017, "Modelling turbulent boundary layer flow over fractal-like multiscale terrain using large-eddy simulations and analytical tools", Phil. Trans. R. Soc. A, 375, (2091), pp. 20160098
  • Dominik Krug, Xiang Yang, Charitha M De Silva, Ostilla-M\'onico, Rodolfo, Roberto Verzicco, Ivan Marusic and Detlef Lohse, 2017, "Statistics of turbulence in the energy-containing range of Taylor--Couette compared to canonical wall-bounded flows", Journal of Fluid Mechanics, 830, pp. 797--819
  • Xiang Yang, R Baidya, P Johnson, I Marusic and C Meneveau, 2017, "Structure function tensor scaling in the logarithmic region derived from the attached eddy model of wall-bounded turbulent flows", Physical Review Fluids, 2, (6), pp. 064602
  • Aaron Towne, Xiang Yang and Parviz Moin, 2017, "Toward models for fluctuating wall quantities in incompressible turbulent flows", Bulletin of the American Physical Society, 62
  • J Graham, K Kanov, Xiang Yang, M Lee, N Malaya, CC Lalescu, R Burns, G Eyink, A Szalay, RD Moser and others, 2016, "A Web services accessible database of turbulent channel flow and its use for testing a new integral wall model for LES", Journal of Turbulence, 17, (2), pp. 181--215
  • Xiang Yang, Jasim Sadique, Rajat Mittal and Charles Meneveau, 2016, "Exponential roughness layer and analytical model for turbulent boundary layer flow over rectangular-prism roughness elements", Journal of Fluid Mechanics, 789, pp. 127--165
  • Xiang Yang, Charles Meneveau, Ivan Marusic and Luca Biferale, 2016, "Extended self-similarity in moment-generating-functions in wall-bounded turbulence at high Reynolds number", Physical Review Fluids, 1, (4), pp. 044405
  • Xiang Yang, J Urzay and P Moin, 2016, "Heat-transfer rates in equilibrium-wall-modeled LES of supersonic turbulent flows", Annual Research Briefs, Center for Turbulence Research, Stanford University, pp. 3--15
  • Xiang Yang, I Marusic and C Meneveau, 2016, "Hierarchical random additive process and logarithmic scaling of generalized high order, two-point correlations in turbulent boundary layer flow", Physical Review Fluids, 1, (2), pp. 024402
  • Xiang Yang and C Meneveau, 2016, "Large eddy simulations and parameterisation of roughness element orientation and flow direction effects in rough wall boundary layers", Journal of Turbulence, 17, (11), pp. 1072--1085
  • Xiang Yang, Ivan Marusic and Charles Meneveau, 2016, "Moment generating functions and scaling laws in the inertial layer of turbulent wall-bounded flows", Journal of Fluid Mechanics, 791
  • Xiang Yang, 2016, "On the mean flow behaviour in the presence of regional-scale surface roughness heterogeneity", Boundary-layer meteorology, 161, (1), pp. 127--143
  • Xiang Yang and Charles Meneveau, 2016, "Recycling inflow method for simulations of spatially evolving turbulent boundary layers over rough surfaces", Journal of Turbulence, 17, (1), pp. 75--93
  • Xiang Yang, J Sadique, R Mittal and C Meneveau, 2015, "Integral wall model for large eddy simulations of wall-bounded turbulent flows", Physics of Fluids, 27, (2), pp. 025112
  • Xiang Yang and Rajat Mittal, 2014, "Acceleration of the Jacobi iterative method by factors exceeding 100 using scheduled relaxation", Journal of Computational Physics, 274, pp. 695--708
  • Xiang Yang and Sanjeeb T Bose, , "A Physical Basis of the Slip-wall Model for Wall-modeled Large-eddy Simulations"

Research Projects

Honors and Awards

  • Andreas Acrivos Dissertation Award, American Physical Society, November 2017

Service

Service to Penn State:

Service to External Organizations:

 


 

About

The Department of Mechanical and Nuclear Engineering at Penn State is one of the nation’s largest and most successful engineering departments. We serve more than 1,000 undergraduate students and more than 330 graduate students

We offer B.S. degrees in mechanical engineering and nuclear engineering as well as resident (M.S., Ph.D.) and online (M.S., M.Eng.) graduate degrees in nuclear engineering and mechanical engineering. MNE's strength is in offering hands-on experience in highly relevant research areas, such as energy, homeland security, biomedical devices, and transportation systems.

Department of Mechanical and Nuclear Engineering

137 Reber Building

The Pennsylvania State University

University Park, PA 16802-4400

Phone: 814-865-2519