Yu Lv

Prof. Yu Lv


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2019 in Fuel
Verified
Journal Article
Closed access
Xinlu HanXinlu Han
Xinlu Han
Zhihua WangZhihua Wang
Zhihua Wang
SWShixing Wang
Shixing Wang
RWRonald Whiddon
Ronald Whiddon
YHYong He
Yong He
AKAlexander A. Konnov
Alexander A. Konnov

1 August 2015 in Journal of Computational Physics
Verified
Journal Article
Closed access
YLYu Lv
Yu Lv
MIMatthias Ihme
Matthias Ihme

1 October 2016 in Journal of Computational Physics
Verified
Journal Article
Closed access
YLYu Lv
Yu Lv
YSYee Chee See
Yee Chee See
MIMatthias Ihme
Matthias Ihme

24 January 2022 in Physical Review Fluids
Verified
Journal Article
Closed access
PDF file
PCPeng E. S. Chen
Peng E. S. Chen
YLYu Lv
Yu Lv
HXHaosen H. A. Xu
Haosen H. A. Xu
YSYipeng Shi
Yipeng Shi
XYXiang I. A. Yang
Xiang I. A. Yang
A practical application of universal wall scalings is near-wall turbulence modeling. In this paper, we exploit the semilocal scaling [Patel, Boersma, and Pecnik, Phys. Rev. Fluids, 2, 084604 (2017)] and derive an eddy conductivity closure for wall-modeled large-eddy simulation of high-speed flows. We show that while the semilocal scaling does not collapse high-speed direct numerical simulation (DNS) data, the resulting eddy conductivity and the wall model work fairly well. The paper attempts to answer the following outstanding question: why the semilocal scaling fails but the resulting eddy conductivity works well. We conduct DNSs of Couette flows at Mach numbers from M=1.4 to 6. We add a source term in the energy equation to get a cold wall, a close-to-adiabatic wall, and a hot wall. Detailed analysis of the flows' energy budgets shows that aerodynamic heating is the answer to our question: Aerodynamic heating is not accounted for in Patel et al.'s semilocal scaling but is modeled in the equilibrium wall model. We incorporate aerodynamic heating in the semilocal scaling and show that the new scaling successfully collapses the high-speed DNS data. We also show that incorporating aerodynamic heating or not, the semilocal scaling gives rise to the exact same eddy conductivity, thereby answering the outstanding question.

10 May 2018 in Energy & Fuels
Verified
Journal Article
Closed access
YLYingzu Liu
Yingzu Liu
Zhihua WangZhihua Wang
Zhihua Wang
KWKaidi Wan
Kaidi Wan
YLYu Lv
Yu Lv
JXJun Xia
Jun Xia
KCKefa Cen
Kefa Cen

10 November 2022 in Journal of Fluid Mechanics
Verified
Journal Article
Closed access
PDF file
PCPeng E.S. Chen
Peng E.S. Chen
GHGeorge P. Huang
George P. Huang
YSYipeng Shi
Yipeng Shi
XYXiang I.A. Yang
Xiang I.A. Yang
YLYu Lv
Yu Lv
The mean velocity follows a logarithmic scaling in the surface layer when normalized by the friction velocity, i.e. a velocity scale derived from the wall-shear stress. The same logarithmic scaling exists for the mean temperature when one normalizes the temperature with the friction temperature, i.e. a scale derived from the wall heat flux. This temperature normalization poses challenges to adiabatic walls, for which the wall heat flux is zero, and the logarithmic temperature scaling becomes singular. This paper aims to establish a temperature transformation that applies to both isothermal walls and adiabatic walls. We show that by accounting for the diffusive flux, both the Van Driest transformation and the semi-local transformation (and other transformations alike) apply to adiabatic walls. We also show that the classic Walz equation works well for adiabatic walls because it models the diffusive flux, albeit in a rather crude way. For validation/testing, we conduct direct numerical simulations of supersonic Couette flows at Mach numbers $M=1$ , 3 and 6, and various Reynolds numbers. The two walls are adiabatic, and a source term is included to cancel the aerodynamic heating in the domain. We show that the adiabatic wall data collapse onto the same incompressible logarithmic law of the wall like the isothermal wall data.