Flow Field Analysis of a Turbulent Channel Controlled by Scalloped Riblets DOI Creative Commons
Haidong Yu, Yi Huang, Yiqian Wang

et al.

Aerospace Research Communications, Journal Year: 2023, Volume and Issue: 1

Published: Dec. 18, 2023

Riblets are small protruding surfaces along the direction of flow, and one most well-known passive turbulent drag reduction methods. We investigated a scalloped riblet, shape which was constructed by smoothly connecting two third-order polynomials not as sharp in tip corresponding triangular riblets with same height-width ratio. Numerical simulations were performed for channel flow without riblet control at an estimated optimum width W+=20 ratio id="m2">0.5 . A rate id="m3">5.77% obtained, is generally larger than reported rates from literature. Mean fields second-order statistics velocity, vorticity, Liutex, quantity introduced to represent vortices, reported. It found that streamwise vortices just above tips, have length scale id="m4">200300 wall units, important influence on those thus turbulence generation cycle mechanism. Pre-multiplied energy spectra velocity Liutex component reveal scales field. Instantaneous vortical visualized method provided emphases tips. should be noted class suitable investigations influences curvatures valley future.

Language: Английский

Liutex-Based Sub-Grid Model for Large Eddy Simulation of Turbulent Flow DOI

Emran Hossen,

Yifei Yu, Chaoqun Liu

et al.

AIAA SCITECH 2022 Forum, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 3, 2025

Language: Английский

Citations

0

Numerical study of the kinematic and acoustic characteristics of bubble clusters DOI
Fuqiang Deng, Di Zhao, Lingxin Zhang

et al.

Journal of Hydrodynamics, Journal Year: 2023, Volume and Issue: 35(1), P. 61 - 75

Published: Feb. 1, 2023

Language: Английский

Citations

10

Investigation on the vortical structures by the Liutex method in turbulent channels at Reτ = 180 with scalloped and triangular riblet control DOI

Zhang-dan Yu,

Shang Jiang,

Hai-dong Yu

et al.

Journal of Hydrodynamics, Journal Year: 2024, Volume and Issue: 36(1), P. 35 - 52

Published: Feb. 1, 2024

Language: Английский

Citations

1

Comparison of Liutex and Other Vortex Identification Methods Based on Vortex Models DOI
Yifei Yu, Chaoqun Liu

Springer proceedings in physics, Journal Year: 2024, Volume and Issue: unknown, P. 20 - 33

Published: Jan. 1, 2024

Language: Английский

Citations

1

Flow behavior analysis in boundary layer transition based on the Liutex–shear decomposition DOI Creative Commons
Bi-yu Pang, Yuan Ding, Yiqian Wang

et al.

AIP Advances, Journal Year: 2023, Volume and Issue: 13(2)

Published: Feb. 1, 2023

The Liutex based vortex identification method is superior to previous methods in that it overcomes the issues of threshold problem, shear contamination, etc., with a clear physical meaning direction vector represents local axis rotation, while magnitude equal twice angular velocity rigid-rotation part flow. current study focuses on interaction between represented rotation and residual during development Λ hairpin boundary layer transition. temporal–spatial evolution typical vortical structures are analyzed Liutex–shear decomposition particular attention paid position strength changes shear. Vortex core lines extracted investigate mutual interactions inside vortices. It demonstrated for vortex, spanwise rotating motions formed at head region can persist long time under influence surrounding shear, tail stretches down near wall but then becomes weaker due dissipation. High-shear regions tend be located top or below When legs gets stronger, will rolled up form new On one hand, together newly consist which, turn, leads generation second- third-level other also generates many smaller streamwise vortices region. results show very important

Language: Английский

Citations

3

Identification of vortex boundaries in two-dimensional incompressible flows based on the Liutex-shear interaction DOI
Bi-yu Pang,

Zhang-dan Yu,

Bowen Yan

et al.

Journal of Hydrodynamics, Journal Year: 2023, Volume and Issue: 35(5), P. 825 - 831

Published: Oct. 1, 2023

Language: Английский

Citations

3

Liutex – Unique and Rigorous Definition and Identification of Vortex DOI
Chaoqun Liu

Springer proceedings in physics, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19

Published: Jan. 1, 2024

Language: Английский

Citations

0

Large Eddy Simulation by Using Wang’s Liutex-Based Subgrid Model DOI

V.L. Shah,

Emran Hossen,

Chaoqun Liu

et al.

Springer proceedings in physics, Journal Year: 2024, Volume and Issue: unknown, P. 117 - 143

Published: Jan. 1, 2024

Language: Английский

Citations

0

Omega-Liutex method for the interaction among wave, current and fixed vertical cylinder DOI
Bo Han,

Zhi Pan,

Weiwen Zhao

et al.

Journal of Hydrodynamics, Journal Year: 2023, Volume and Issue: 35(1), P. 83 - 94

Published: Feb. 1, 2023

Language: Английский

Citations

0

Rotational vector-based analysis of turbulent structures in channel flow using large eddy simulation simulation DOI
Shen Zhang, Nan Gui, Xingtuan Yang

et al.

Fluid Dynamics Research, Journal Year: 2023, Volume and Issue: 55(4), P. 045505 - 045505

Published: July 12, 2023

Abstract Even with modern measurement techniques and data from direct numerical simulation (DNS), it is very difficult to identify the individual attached eddies understand their dynamical behavior due multi-scale nature of in wall-bounded flows, which puts these issues at center current debate. However, Liutex vector ( L for short), a rotational field information on both rotation axis swirling strength, has recently been developed by Prof. Liu’s group as more accurate clear definition vortex. Combining conventional methods may provide detailed about complex flow structures well insights into flow’s mixing transport features. We simulated channel large eddy implementing an inflow condition based box turbulence. After validating results DNS data, we used isosurfaces profiles track ordered Based observe numerous turbulent phenomena that have described other works different visualization techniques. Moreover, shear contamination wall most severe while all root-mean-square component variations are negligible. Due presence background shear, peak location vorticity fluctuation closer than corresponding fluctuation, displacement brought greatest spanwise (z-component) fluctuation. According two-point correlation components, streamwise size does not vary considerably y + , however, increases gradually increases.

Language: Английский

Citations

0