
1. 中国科学院 力学研究所 非线性力学国家重点实验室,北京,100190
2. 中国科学院大学 工程科学学院,北京,100049
3. 中国空气动力研究与发展中心 计算空气动力研究所,绵阳,621000
4. 空气动力学国家重点实验室,绵阳,621000
Published:2023
移动端阅览
李世隆, 杨晓雷, 袁先旭, 等. 粗糙元取向对湍流统计量影响的数值研究[J]. 空气动力学学报, 2023, 41(4): 73−83.
LI Shilong, YANG Xiaolei, YUAN Xianxu, et al. Numerical study on the orientation effects of roughness elements on turbulence statistics[J]. 2023, 41(4): 73-83.
李世隆, 杨晓雷, 袁先旭, 等. 粗糙元取向对湍流统计量影响的数值研究[J]. 空气动力学学报, 2023, 41(4): 73−83. DOI: 10.7638/kqdlxxb-2022.0108
LI Shilong, YANG Xiaolei, YUAN Xianxu, et al. Numerical study on the orientation effects of roughness elements on turbulence statistics[J]. 2023, 41(4): 73-83. DOI: 10.7638/kqdlxxb-2022.0108.
采用直接数值模拟方法研究了椭球体粗糙元取向对粗糙壁槽道湍流统计量的影响,其中,粗糙元几何采用清晰界面浸没边界方法直接解析。考虑了四种不同粗糙元取向的粗糙壁,包括随机取向、垂直放置、朝下游倾斜45°、朝上游倾斜45°,对于每种取向选取三种不同粗糙元间距。模拟结果显示:粗糙元取向对湍流统计量有显著影响;对于小粗糙元间距(
$ l = 2.0r $
<
img text_id='M1' class='formula-img' style='display:none;' src='2022-108_M1.jpg'>
,其中
$ r $
<
img text_id='M2' class='formula-img' style='display:none;' src='2022-108_M2.jpg'>
为椭球体的最短半轴长),“随机取向”粗糙壁的砂粒粗糙度长度(
$ {k}_{s} $
<
img text_id='M3' class='formula-img' style='display:none;' src='2022-108_M3.jpg'>
)大于其他粗糙壁;对于大粗糙元间距(
$ l = 2.8r $
<
img text_id='M4' class='formula-img' style='display:none;' src='2022-108_M4.jpg'>
、
$ 3.5r $
<
img text_id='M5' clas
s='formula-img' style='display:none;' src='2022-108_M5.jpg'>
),“垂直放置”粗糙壁的
$ {k}_{s} $
<
img text_id='M3' class='formula-img' style='display:none;' src='2022-108_M3.jpg'>
最大;“朝下游倾斜45°”和“朝上游倾斜45°”粗糙壁的
$ {k}_{s} $
<
img text_id='M3' class='formula-img' style='display:none;' src='2022-108_M3.jpg'>
值和雷诺正应力(以壁面摩擦速度无量纲化)基本相同,并且其流向雷诺正应力远高于其他粗糙壁。另一方面,“朝下游倾斜45°”粗糙壁的流向分散应力高于 “朝上游倾斜45°”粗糙壁;垂向和横向分散应力远小于流向分散应力,其中“随机取向”粗糙壁的垂向和横向分散应力幅值最高。
This paper employs Direct Numerical Simulation to study the orientation effects of ellipsoid roughness elements on the statistics of rough-wall turbulent channel flows. Roughness elements are directly resolved using a sharp-interface immersed boundary method. The simulations consider roughness elements with four different orientations
namely random orientation
vertical placement
inclined 45° downstream
and inclined 45° upstream. For each orientation
three different roughness element spacings are considered. Numerical results show that the roughness elements’ orientation significantly affects turbulence statistics. For a small roughness element spacing (i.e.
l
= 2.0
r
where
r
is the minor semi-axis length of the ellipsoid)
the randomly oriented roughness elements result in the largest sandgrain roughness length (
k
s
); for large roughness elements spacing (i.e.
l
= 2.8
r
and 3.5
r
)
k
s
of the vertically placed roughness elements is the largest. The value of
k
s
and the Reynolds normal stresses in viscous units of the roughness elements inclined 45° downstream or upstream are nearly the same; the streamwise Reynolds normal stress is much higher than those of other rough walls.
On the other hand
the streamwise dispersive stress of roughness elements inclined 45° downstream is higher than that of the opposite orientation. The vertical and spanwise dispersive stresses are much smaller than the streamwise one. Randomly oriented roughness elements yield the strongest vertical and spanwise dispersive stresses.
JIMÉNEZ J. Turbulent flows over rough walls[J]. Annual Review of Fluid Mechanics, 2004, 36: 173-196. DOI:10.1146/annurev.fluid.36.050802.122103
MEJIA-ALVAREZ R, CHRISTENSEN K T. Low-order representations of irregular surface roughness and their impact on a turbulent boundary layer[J]. Physics of Fluids, 2010, 22(1): 015106. DOI:10.1063/1.3291076
CHUNG D, HUTCHINS N, SCHULTZ M P, et al. Predicting the drag of rough surfaces[J]. Annual Review of Fluid Mechanics, 2021, 53: 439-471. DOI:10.1146/annurev-fluid-062520-115127
WANG J J, YI H M, PAN C, et al. Progress in rough-wall turbulence[J]. Acta Aerodynamica Sinica, 2017, 35(5): 611-619. (in Chinese)
LIU Z Q, ZHANG C, WU X B, et al. Simulation and error analysis of wind field considering surface roughness[J]. Acta Aerodynamica Sinica, 2020, 38(4): 715-722. no. 3, pp. 425–452.
GIOMETTO M G, CHRISTEN A, MENEVEAU C, et al. Spatial characteristics of roughness sublayer Mean flow and turbulence over a realistic urban surface[J]. Boundary-Layer Meteorology, 2016, 160(3): 425-452. DOI:10.1007/s10546-016-0157-6
MIGNOT E, BARTHELEMY E, HURTHER D. Double-averaging analysis and local flow characterization of near-bed turbulence in gravel-bed channel flows[J]. Journal of Fluid Mechanics, 2009, 618: 279-303. DOI:10.1017/s0022112008004643
SEZEN S, UZUN D, TURAN O, et al. Influence of roughness on propeller performance with a view to mitigating tip vortex cavitation[J]. Ocean Engineering, 2021, 239: 109703. DOI:10.1016/j.oceaneng.2021.109703
COLEBROOK C F, BLENCH T, CHATLEY H, et al. Correspondence. turbulent flow in pipes, with particular reference to the transition region between the smooth and rough pipe laws. (includes plates)[J]. Journal of the Institution of Civil Engineers, 1939, 12(8): 393-422. DOI:10.1680/ijoti.1939.14509
NIKURADSE J. Laws of flow in rough pipes[R ] . NACA-TM-1292, 1950. https://ntrs.nasa.gov/api/citations/19930093938/downloads/19930093938.pdf
MOODY L F, PRINCETON N J. Friction factors for pipe flow[J]. Transaction of the ASME, 1644: 671–684.
YUAN J L, JOUYBARI M A. Topographical effects of roughness on turbulence statistics in roughness sublayer[J]. Physical Review Fluids, 2018, 3(11): 114603. DOI:10.1103/PhysRevFluids.3.114603
JOUYBARI M A, YUAN J, BRERETON G J, et al. Data-driven prediction of the equivalent sand-grain height in rough-wall turbulent flows[J]. Journal of Fluid Mechanics, 2021, 912: A8. Doi: 10.1017/jfm.2020.1085
MA G. Z, XU C. X, SUNG H J, et al. Scaling of rough-wall turbulence by the roughness height and steepness[J]. Journal of Fluid Mechanics, 2020, 900: R7. Doi:10.1017/jfm.2020.542
XU H H A, ALTLAND S J, YANG X I A, et al. Flow over closely packed cubical roughness[J]. Journal of Fluid Mechanics, 2021, 920: A37. DOI:10.1017/jfm.2021.456
SCOTTI A. Direct numerical simulation of turbulent channel flows with boundary roughened with virtual sandpaper[J]. Physics of Fluids, 2006, 18(3): 1-5. Doi:10.1063/1.2183806
YUAN J, PIOMELLI U. Roughness effects on the Reynolds stress budgets in near-wall turbulence[J]. Journal of Fluid Mechanics, 2014, 760: R1. DOI:10.1017/jfm.2014.608
HANTSIS Z, PIOMELLI U. Roughness effects on scalar transport[J]. Physical Review Fluids, 2020, 5(11): 114607. DOI:10.1103/physrevfluids.5.114607
YUAN J, PIOMELLI U. Numerical simulations of sink-flow boundary layers over rough surfaces[J]. Physics of Fluids, 2014, 26(1): 015113. DOI:10.1063/1.4862672
YUAN J, PIOMELLI U. Numerical simulation of a spatially developing accelerating boundary layer over roughness[J]. Journal of Fluid Mechanics, 2015, 780: 192–214. DOI:10.1017/jfm.2015.437
WU W, BANYASSADY R, PIOMELLI U. Large-eddy simulation of impinging jets on smooth and rough surfaces[J]. Journal of Turbulence, 2016, 17(9): 847-869. DOI:10.1080/14685248.2016.1181761
JOUYBARI M A, BRERETON G , YUAN J. Turbulence structures over realistic and synthetic wall roughness in open channel flow at Re τ = 1000[J ] . Journal of Turbulence, 2019, 20(11-12): 723-749. doi. org/10.1080/14685248.2019. 1706741
MANGAVELLI S C, YUAN J L, BRERETON G J. Effects of surface roughness topography in transient channel flows[J]. Journal of Turbulence, 2021, 22(7): 434-460. DOI:10.1080/14685248.2021.1927057
BRERETON G J, YUAN J. Wall-roughness eddy viscosity for Reynolds-averaged closures[J]. International Journal of Heat and Fluid Flow, 2018, 73: 74-81. DOI:10.1016/j.ijheatfluidflow.2018.07.009
BRERETON G J, JOUYBARI M A, YUAN J. Toward modeling of turbulent flow over surfaces of arbitrary roughness[J]. Physics of Fluids, 2021, 33: 065121. Doi:10.1063/5.0051097
CHUNG D, CHAN L, MACDONALD M, et al. A fast direct numerical simulation method for characterising hydraulic roughness[J]. Journal of Fluid Mechanics, 2015, 773: 418-431.
JIMÉNEZ J, MOIN P. The minimal flow unit in near-wall turbulence[J]. Journal of Fluid Mechanics, 1991, 225: 213-240. DOI:10.1017/s0022112091002033
MACDONALD M, CHUNG D, HUTCHINS N, et al. The minimal-span channel for rough-wall turbulent flows[J]. ournal of Fluid Mechanics, 2017, 816: 5-42. Doi: 10.1017/jfm. 2017.69 2017: arXiv: 1703.00950.https://arxiv.org/abs/1703.00950
YANG X L, SOTIROPOULOS F, CONZEMIUS R J, et al. Large-eddy simulation of turbulent flow past wind turbines/farms: the Virtual Wind Simulator (VWiS)[J]. Wind Energy, 2015, 18(12): 2025-2045. DOI:10.1002/we.1802
CALDERER A, YANG X, ANGELIDIS D, et al. Virtual flow simulator[R ] . University of Minnesota, VFS-Wind;004806MLTPL00, 2015. https://doi.org/10.11578/dc.20171025.1758
LI S L, YANG X L, JIN G D, et al. Wall-resolved large-eddy simulation of turbulent channel flows with rough walls[J]. Theoretical and Applied Mechanics Letters, 2021, 11(1): 100228. DOI:10.1016/j.taml.2021.100228
QIN J, YANG X, LI Z. Hybrid diffuse and sharp interface immersed boundary methods for particulate flows in the presence of complex boundaries[J]. Communications in Computational Physic, 2022, 31(4): 1242-1271. DOI:10.4208/cicp.OA-2021-0166
GE L, SOTIROPOULOS F. A numerical method for solving the 3D unsteady incompressible Navier-Stokes equations in curvilinear domains with complex immersed boundaries[J]. Journal of Computational Physics, 2007, 225(2): 1782-1809. DOI:10.1016/j.jcp.2007.02.017
0
Views
0
下载量
0
CSCD
Publicity Resources
Related Articles
Related Author
Related Institution
京公网安备11010802024621