Xiaozhou He

Dr. Xiaozhou He


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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14 September 2012 in Physical Review Letters
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GAGuenter Ahlers
Guenter Ahlers
EBEberhard Bodenschatz
Eberhard Bodenschatz
DFDenis Funfschilling
Denis Funfschilling
SGSiegfried Grossmann
Siegfried Grossmann
XHXiaozhou He
Xiaozhou He
RVRoberto Verzicco
Roberto Verzicco
We report results for the temperature profiles of turbulent Rayleigh-Bénard convection (RBC) in the interior of a cylindrical sample of aspect ratio Γ≡D/L=0.50 (D and L are the diameter and height, respectively). Both in the classical and in the ultimate state of RBC we find that the temperature varies as A×ln(z/L)+B, where z is the distance from the bottom or top plate. In the classical state, the coefficient A decreases in the radial direction as the distance from the side wall increases. For the ultimate state, the radial dependence of A has not yet been determined. These findings are based on experimental measurements over the Rayleigh-number range 4×1012≲Ra≲1015 for a Prandtl number Pr≃0.8 and on direct numerical simulation at Ra=2×1012, 2×1011, and 2×1010, all for Pr=0.7.

24 February 2022 in Physical Review Letters
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GAGuenter Ahlers
Guenter Ahlers
EBEberhard Bodenschatz
Eberhard Bodenschatz
RHRobert Hartmann
Robert Hartmann
XHXiaozhou He
Xiaozhou He
DLDetlef Lohse
Detlef Lohse
OSOlga Shishkina
Olga Shishkina
While the heat transfer and the flow dynamics in a cylindrical Rayleigh-Bénard (RB) cell are rather independent of the aspect ratio Γ (diameter/height) for large Γ, a small-Γ cell considerably stabilizes the flow and thus affects the heat transfer. Here, we first theoretically and numerically show that the critical Rayleigh number for the onset of convection at given Γ follows Rac,Γ∼Rac,∞(1+CΓ−2)2, with C≲1.49 for Oberbeck-Boussinesq (OB) conditions. We then show that, in a broad aspect ratio range (1/32)≤Γ≤32, the rescaling Ra→Raℓ≡Ra[Γ2/(C+Γ2)]3/2 collapses various OB numerical and almost-OB experimental heat transport data Nu(Ra,Γ). Our findings predict the Γ dependence of the onset of the ultimate regime Rau,Γ∼[Γ2/(C+Γ2)]−3/2 in the OB case. This prediction is consistent with almost-OB experimental results (which only exist for Γ=1, 1/2, and 1/3) for the transition in OB RB convection and explains why, in small-Γ cells, much larger Ra (namely, by a factor Γ−3) must be achieved to observe the ultimate regime.

5 May 2021 in Journal of Fluid Mechanics
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WXWei Xu
Wei Xu
YWYin Wang
Yin Wang
XHXiaozhou He
Xiaozhou He
XWXiaoping Wang
Xiaoping Wang
JSJörg Schumacher
Jörg Schumacher
PTPenger Tong
Penger Tong
We report a direct numerical simulation (DNS) study of the mean velocity and temperature profiles in turbulent Rayleigh–Bénard convection (RBC) at low Prandtl numbers ( RBC.

14 January 2022 in Journal of Fluid Mechanics
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YWYin Wang
Yin Wang
YWYongze Wei
Yongze Wei
PTPenger Tong
Penger Tong
XHXiaozhou He
Xiaozhou He
We report a systematic study of the collective effect of thermal plumes on the probability density function (p.d.f.) $P(\delta T)$ of temperature fluctuations $\delta T(t)$ in turbulent Rayleigh–Bénard convection. By decomposing $\delta T(t)$ into four basic fluctuation modes associated with single and multiple warm and cold plumes and a turbulent background, we derive an analytic form of $P(\delta T)$ based on the convolutions of the five independent modes. To test the derived form of $P(\delta T)$ in the multiple-plume regions, where the thermal plumes are heavily populated, we conduct time series measurements of temperature fluctuations in two convection cells; one is a vertical thin disk and the other is an upright cylinder of aspect ratio unity. For a given normalized position in most regions of the convection cell, all of the measured p.d.f.s $P(\delta T)$ for different Rayleigh numbers fall onto a single master curve, once $\delta T$ is normalized by its root-mean-square (r.m.s.) value $\sigma _T$ . It is found that the measured $P(\delta T/\sigma _T)$ at different locations along the symmetric horizontal and vertical axes of the convection cells can all be well described by the derived form of $P(\delta T/\sigma _T)$ . The fitted values of the parameters associated with the number of plumes in multiple plume clusters and their relative strengths and degrees of intermittency are closely linked to the spatial distribution of thermal plumes and local dynamics of the large-scale circulation in a closed convection cell. Our work thus provides a unified theoretical approach for understanding scalar p.d.f.s in a turbulent field, which is very useful not only for the present study but also for the study of many turbulent mixing problems of practical interest.

6 June 2022 in Journal of Fluid Mechanics
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MHMaojing Huang
Maojing Huang
YWYin Wang
Yin Wang
YBYun Bao
Yun Bao
XHXiaozhou He
Xiaozhou He
We report direct numerical simulations (DNS) of the Nusselt number $Nu$ , the vertical profiles of mean temperature $\varTheta (z)$ and temperature variance $\varOmega (z)$ across the thermal boundary layer (BL) in closed turbulent Rayleigh–Bénard convection (RBC) with slippery conducting surfaces ( $z$ is the vertical distance from the bottom surface). The DNS study was conducted in three RBC samples: a three-dimensional cuboid with length $L = H$ and width $W = H/4$ ( $H$ is the sample height), and two-dimensional rectangles with aspect ratios $\varGamma \equiv L/H = 1$ and $10$ . The slip length $b$ for top and bottom plates varied from $0$ to $\infty$ . The Rayleigh numbers $Ra$ were in the range $10^{6} \leqslant Ra \leqslant 10^{10}$ and the Prandtl number $Pr$ was fixed at $4.3$ . As $b$ increases, the normalised $Nu/Nu_0$ ( $Nu_0$ is the global heat transport for $b = 0$ ) from the three samples for different $Ra$ and $\varGamma$ can be well described by the same function $Nu/Nu_0 = N_0 \tanh (b/\lambda _0) + 1$ , with $N_0 = 0.8 \pm 0.03$ . Here $\lambda _0 \equiv L/(2Nu_0)$ is the thermal boundary layer thickness for $b = 0$ . Considering the BL fluctuations for $Pr>1$ , one can derive solutions of temperature profiles $\varTheta (z)$ and $\varOmega (z)$ near the thermal BL for $b \geqslant 0$ . When $b=0$ , the solutions are equivalent to those reported by Shishkinaet al.(Phys. Rev. Lett., vol. 114, 2015, 114302) and Wanget al.(Phys. Rev. Fluids, vol. 1, 2016, 082301(R)), respectively, for no-slip plates. For $b > 0$ , the derived solutions are in excellent agreement with our DNS data for slippery plates.

15 March 2023 in Combustion and Flame
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Journal Article
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ZZZijian Zhang
Zijian Zhang
LZLei Zhou
Lei Zhou
XHXiaozhou He
Xiaozhou He
LCLei Chen
Lei Chen
HWHaogang Wei
Haogang Wei