Photo of Xiang Yang

Xiang Yang

Assistant Professor

Affiliation(s):

  • Mechanical Engineering

132 Research Building East

xzy48@psu.edu

Personal or Departmental Website

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, Haosen Xu, Xinyi Huang and Mingwei Ge, 2019, "Drag forces on sparsely packed cube arrays", Journal of Fluid Mechanics, 880, pp. 992-1019
  • Mingwei Ge, Ying Wu, Yongqian Liu and Xiang Yang, 2019, "A two-dimensional Jensen model with a Gaussian-shaped velocity deficit", Renewable Energy, 141, pp. 46-56
  • Xiang Yang, Suhaib Zafar, Jianxun Wang and Heng Xiao, 2019, "Predictive large-eddy-simulation wall modeling via physics-informed neural networks", Physical Review Fluids, 4, (3), pp. 034602
  • Mingwe Ge, Xiang Yang and Ivan Marusic, 2019, "Velocity probability distribution scaling in wall-bounded flows at high Reynolds numbers", Physical Review Fluids, 4, (3), pp. 034101
  • Xiang Yang and Charles Meneveau, 2019, "Hierarchical random additive model for wall-bounded flows at high Reynolds numbers", Fluid Dynamics Research, 51, (1), pp. 011405
  • Xiang Yang, Rio Baidya, Yu Lv and Ivan Marusic, 2018, "Hierarchical random additive model for the spanwise and wall-normal velocities in wall-bounded flows at high Reynolds numbers", Physical Review Fluids, 3, (12), pp. 124606
  • Michael Howland and Xiang Yang, 2018, "Dependence of small-scale energetics on large scales in turbulent flows", Journal of Fluid Mechanics, 852, pp. 641-662
  • Xiang Yang and Yu Lv, 2018, "A semi-locally scaled eddy viscosity formulation for LES wall models and flows at high speeds", Theoretical and Computational Fluid Dynamics, 32, (5), pp. 617-627
  • Haosen Xu and Xiang Yang, 2018, "Fractality and the law of the wall", Physical Review E, 97, (5)
  • Xiang Yang and Mahdi Abkar, 2018, "A hierarchical random additive model for passive scalars in wall-bounded flows at high Reynolds numbers", Journal of Fluid Mechanics, 842, pp. 354-380
  • Peter Ma, Xiang Yang and Matthias Ihme, 2018, "Structure of wall-bounded flows at transcritical conditions", Physical Review Fluids, 3, (3), pp. 034609
  • Xiang Yang and Michael Howland, 2018, "Implication of Taylor’s hypothesis on measuring flow modulation", Journal of Fluid Mechanics, 836, pp. 222-237
  • Aaron Towne, Adrian Lozano-Duran and Xiang Yang, , "Resolvent-based estimation of space-time flow statistics", Journal of Fluid Mechanics

Research Projects

  • June 2018 - July 2018, "Modeling electrical currents through an ion-selective membrane in the overlimiting regime," (Sponsor: Center for Turbulence Research).

Honors and Awards

  • CTR summer program fellowship, Center for Turbulence Research, June 2018 - July 2018
  • Andreas Acrivos Dissertation Award, American Physical Society, November 2017

Service

Service to Penn State:

  • Committee Work, Committee Member, RCCI Executive Committee, October 2019

Service to External Organizations:

 


 

About

With more than 60 faculty members, 330 graduate students, and 800 undergraduate students, the Penn State Department of Mechanical Engineering embraces a culture that welcomes individuals with a diversity of backgrounds and expertise. Our faculty and students are innovating today what will impact tomorrow’s solutions to meeting our energy needs, homeland security, biomedical devices, and transportation systems. We offer B.S. degrees in mechanical engineering as well as resident (M.S., Ph.D.) and online (M.S.) graduate degrees in mechanical engineering. See how we’re inspiring change and impacting tomorrow at me.psu.edu.

Department of Mechanical Engineering

137 Reber Building

The Pennsylvania State University

University Park, PA 16802-4400

Phone: 814-865-2519