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Frontiers of Earth Science

ISSN 2095-0195

ISSN 2095-0209(Online)

CN 11-5982/P

Postal Subscription Code 80-963

2018 Impact Factor: 1.205

Front. Earth Sci.    2019, Vol. 13 Issue (4) : 705-720    https://doi.org/10.1007/s11707-019-0790-8
RESEARCH ARTICLE
Numerical and experimental study of the aerodynamic characteristics around two-dimensional terrain with different slope angles
Pingzhi FANG1(), Deqian ZHENG2, Liang LI2, Wenyong MA3, Shengming TANG1
1. Shanghai Typhoon Institute of China Meteorological Administration, Shanghai 200030, China
2. School of Civil Engineering and Architecture, Henan University of Technology, Zhengzhou 450001, China
3. Wind Engineering Research Center, Shijiazhuang Tiedao University, Shijiazhuang 050043, China
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Abstract

Complicated terrain was considered and simplified as two-dimensional (2D) terrain in a dynamical downscaling model and a parametric wind field model for typhoons developed by the Shanghai Typhoon Institute. The 2D terrain was further modeled as uphill and downhill segments with various slope angles relative to the incoming flow. The wind speed ratios and pressure characteristics around the 2D terrain were numerically and experimentally investigated in this study. Aerodynamic characteristics of the 2D terrain with a limited-length upper surface were first investigated in the wind tunnel with sheared incoming flow. The corresponding numerical investigation was also conducted by using the commercial computational fluid dynamics code FLUENT with the realizable k-ε turbulence model. Special efforts were made to maintain the inflow boundary conditions throughout the computational domain. Aerodynamic characteristics were then investigated for the ideal 2D terrain with an unlimited-length upper surface by using a numerical method with uniform incoming flow. Comparisons of the different terrain models and incoming flows from the above studies show that the wind pressure coefficients and the wind speed ratios are both affected by the slope angle. A negative peak value of the wind pressure coefficients exists at the escarpment point, where flow separation occurs, for the uphill and downhill terrain models with slope angles of 40° and 30°, respectively. Correspondingly, the streamwise wind speed ratios at the points above the escarpment point for the uphill terrain model increase with increasing slope angle, reach their peak values at the slope angle of α = 40° and decrease when the slope angle increases further. For the downhill terrain model, similar trends exist at the points above the escarpment point with the exception that the critical slope angle is α = 30°.

Keywords numerical simulation      wind tunnel test      aerodynamic characteristics      critical slope angle     
Corresponding Author(s): Pingzhi FANG   
Just Accepted Date: 18 September 2019   Online First Date: 12 November 2019    Issue Date: 30 December 2019
 Cite this article:   
Pingzhi FANG,Deqian ZHENG,Liang LI, et al. Numerical and experimental study of the aerodynamic characteristics around two-dimensional terrain with different slope angles[J]. Front. Earth Sci., 2019, 13(4): 705-720.
 URL:  
https://academic.hep.com.cn/fesci/EN/10.1007/s11707-019-0790-8
https://academic.hep.com.cn/fesci/EN/Y2019/V13/I4/705
Fig.1  (a) Sketches of the simplified 2D uphill terrain model with a limited length-upper surface of 7L. Aerodynamic characteristics at 5 locations along the slope surface and 11 points over each location along the slope surface were measured; and (b) the corresponding physical model in the wind tunnel with the Cobra Probes.
Fig.2  (a) Comparisons of the mean wind profiles among the wind tunnel test, fitted logarithmic law, the prescribed inlet flow at the inlet boundary (x = -10L) and the approaching flow before the uphill terrain model (x = -5L); and (b) comparisons near the land surface.
Fig.3  (a) Overview of the CFD domain and mesh scheme; and (b) close view of the mesh scheme around the terrain model with limited-length upper surface.
Wind field Model constants
u/(m·s−1) z0/m z0/m C2 se sk
0.3752 1.5538 × 104 9.7 × 105 1.9 1.2 0.4
Tab.1  Model constants for the wind field with the realizable k-ε turbulence model
Boundary BC Mathematical implication
Inlet Velocity-Inlet U U u*= 1κln(z+ z0z0)
k k =1.5× (Ug Iug )2=0.28 m2/s2
ε ε =Cμ1/2kUz, Cμ=0.09
Outlet Pressure-Outlet k, ε: the same as those at the inlet boundary
Top Symmetry (U, P, k, ε)/z=0
Side Symmetry (U, P, k, ε)/y=0
Terrain surface Wall Standard wall function: Ks=0
Land surface Wall User defined wall function with δB=7.0and Ks=10.0z0
Tab.2  BCs for the wind field with the realizable k-ε turbulence model
Fig.4  Comparisons of the mean wind pressure distribution from the terrain model with limited-length upper surface: (a) uphill model with α = 15°; (b) uphill model with α = 30°; (c) downhill model with α = 15°; and (d) downhill model with α = 30°.
Fig.5  Comparisons of the wind speed ratios from the uphill terrain model with limited-length upper surface: (a) streamwise wind speed ratios for slope angle α = 15°; (b) streamwise wind speed ratios for slope angle α = 30°; (c) vertical wind speed ratios for slope angle α = 15°; and (d) vertical wind speed ratios for slope angle α = 30°.
Fig.6  Comparisons of the wind speed ratios from the downhill terrain model with limited-length upper surface: (a) streamwise wind speed ratios for slope angle α = 15°; (b) streamwise wind speed ratios for slope angle α = 30°; (c) vertical wind speed ratios for slope angle α = 15°; and (d) vertical wind speed ratios for slope angle α = 30°.
Fig.7  Comparisons of the topographic multiplier from the uphill terrain model with limited-length upper surface among the available results: (a) comparisons for the slope angle α = 15° and (b) comparisons for the slope angle α = 30°.
Fig.8  (a) Overview of the CFD domain and mesh scheme and (b) close view of the mesh scheme around the terrain model with unlimited-length upper surface.
Fig.9  Variations in the mean wind pressure coefficients at locations along the slope surface with different slope angles for the ideal 2D terrain model with uniform incoming flow: (a) uphill terrain model and (b) downhill terrain model.
Fig.10  Variations in the streamwise wind speed ratios with the different slope angles for the 2D ideal uphill terrain model with uniform incoming flow.
Fig.11  Variations in the vertical wind speed ratios with the different slope angles for the ideal 2D uphill terrain model with uniform incoming flow.
Fig.12  Variations in the streamwise wind speed ratios with the different slope angles for the ideal 2D downhill terrain model with uniform incoming flow.
Fig.13  Variations in the vertical wind speed ratios with the different slope angles for the ideal 2D downhill terrain model with uniform incoming flow.
1 B Blocken , T Stathopoulos , J Carmeliet (2007). CFD simulation of the atmospheric boundary layer: wall function problems. Atmos Environ, 41(2): 238–252
https://doi.org/10.1016/j.atmosenv.2006.08.019
2 A J Bowen , D Lindley (1977). A wind-tunnel investigation of the wind speed and turbulence characteristics close to the ground over various escarpment shapes. Boundary-Layer Meteorol, 12(3): 259–271
https://doi.org/10.1007/BF00121466
3 S Cao , T Tamura (2006). Experimental study on roughness effects on turbulent boundary layer flow over a two-dimensional steep hill. J Wind Eng Ind Aerodyn, 94(1): 1–19
https://doi.org/10.1016/j.jweia.2005.10.001
4 S Cao , T Tamura (2007). Effects of roughness blocks on atmospheric boundary layer flow over a two-dimensional low hill with/without sudden roughness change. J Wind Eng Ind Aerodyn, 95(8): 679–695
https://doi.org/10.1016/j.jweia.2007.01.002
5 S Cao , T Wang , Y Ge , Y Tamura (2012). Numerical study on turbulent boundary layers over two-dimensional hills-effects of surface roughness and slope. J Wind Eng Ind Aerodyn, 104–106: 342–349
https://doi.org/10.1016/j.jweia.2012.02.022
6 M Cindori , F Juretic , H Kozmar , I Dzijan (2018). Steady RANS model of the homogeneous atmospheric boundary layer. J Wind Eng Ind Aerodyn, 173: 289–301
https://doi.org/10.1016/j.jweia.2017.12.006
7 COST Action 732 (2005–2009). Quality assurance and improvement of micro-scale meteorological models.
8 R E Dickinson , R M Errico , F Giorgi , G T Bates (1989). A regional climate model for the western United States. Clim Change, 15(3): 383–422
https://doi.org/10.1007/BF00240465
9 L J Fan (2006). Statistical downscaling of local and regional climate scenarios over china. Dissertation for Doctoral Degree. Beijing: Graduate School of Chinese Academy of Sciences (Institute of Atmospheric Physics) (in Chinese)
10 P Z Fang , M Gu , J G Tan , Z H Han (2015). A method to solve the wall function problem in simulating the atmospheric boundary layer. Journal of Vibration and Shock, 34(2): 85–90 (in Chinese)
11 W C Hu , Q S Yang , J Zhang (2018). Comparative study on wind topographic factor of hilly terrain by different codes and standards. Engineering Mechanics, 35(10): 206–214 (in Chinese)
12 T Ishihara , K Hibi , S Oikawa (1999). A wind tunnel study of turbulent flow over a three-dimensional steep hill. J Wind Eng Ind Aerodyn, 83(1–3): 95–107
13 T Ishihara , Y Fujino , K Hibi (2001). A wind tunnel study of separated flow over a two-dimensional ridge and a circular hill. J Wind Eng Ind Aerodyn, 89: 573–576
14 T Ishihara , K Hibi (2002). Numerical study of turbulent wake flow behind a three-dimensional steep hill. Wind Struct, 5(2–4): 317–328
15 P S Jackson , J C R Hunt (1975). Turbulent wind flow over a low hill. Q J R Meteorol Soc, 101(430): 929–955
https://doi.org/10.1002/qj.49710143015
16 F Juretic , H Kozmar (2014). Computational modeling of the atmospheric boundary layer using various two-equation turbulence models. Wind Struct, 19(6): 687–708
https://doi.org/10.12989/was.2014.19.6.687
17 Y Kamada , Q Li , T Maeda , K Yamada (2019). Wind tunnel experimental investigation of flow field around two-dimensional single hill models. Renew Energ, 136: 1107–1118
https://doi.org/10.1016/j.renene.2018.09.083
18 K Kondo , M Tsuchiya , S Sanada (2002). Evaluation of effect of micro-topography on design wind velocity. J Wind Eng Ind Aerodyn, 90(12–15): 1707–1718
https://doi.org/10.1016/S0167-6105(02)00281-7
19 B E Launder , D B Spalding (1974). The numerical computation of turbulent flows. Comput Methods Appl Mech Eng, 3(2): 269–289
https://doi.org/10.1016/0045-7825(74)90029-2
20 Z Liu , T Ishihara , T Tanaka , X He (2016). LES study of turbulent flow fields over a smooth 3-D hill and a smooth 2-D ridge. J Wind Eng Ind Aerodyn, 153: 1–12
https://doi.org/10.1016/j.jweia.2016.03.001
21 Y F Lun , A Mochida , H Yoshino , S Murakami (2007). Applicability of linear type revised k–ε models to flow over topographic features. J Wind Eng Ind Aerodyn, 95(5): 371–384
https://doi.org/10.1016/j.jweia.2006.09.004
22 A Makridis , J Chick (2013). Validation of a CFD model of wind turbine wakes with terrain effects. J Wind Eng Ind Aerodyn, 123(4): 12–29
https://doi.org/10.1016/j.jweia.2013.08.009
23 N G Mortensen , L Landberg (1993). Wind Altas Analysis and Application Program (WASP) User’s Guide. Roskilde, Denmark: Riso National Laboratory
24 T H Shih , W W Liou , A Shabbir , Z Yang , J Zhu (1995). A new eddy viscosity model for high Reynolds number turbulent flows model development and validation. Comput Fluids, 24(3): 227–238
https://doi.org/10.1016/0045-7930(94)00032-T
25 Y Tominaga , A Mochida , R Yoshie , H Kataoka , T Nozu , M Yoshikawa , T Shirasawa (2008). AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings. J Wind Eng Ind Aerodyn, 96(10–11): 1749–1761
https://doi.org/10.1016/j.jweia.2008.02.058
26 J P Van Doormaal , G D Raithby (1984). Enhancements of the SIMPLE method for predicting incompressible fluid flows. Numer Heat Tra-Appl, 7(2): 147–163
27 D B Walton , F P Sun , A Hall , S Capps (2015). A hybrid dynamical-statistical downscaling technique. Part I: development and validation of the technique. J Clim, 28(12): 4597–4617
https://doi.org/10.1175/JCLI-D-14-00196.1
28 W Wang , W J Shaw , T E Seiple , J P Rishel , Y Xie (2008). An evaluation of a diagnostic wind model (CALMET). J Appl Meteorol Climatol, 47(6): 1739–1756
https://doi.org/10.1175/2007JAMC1602.1
29 R L Wilby , T M L Wigley (1997). Downscaling general circulation model output: a review of methods and limitations. Prog Phys Geogr, 21(4): 530–548
https://doi.org/10.1177/030913339702100403
30 J C Wyngaard (2004). Toward numerical modeling in the “terra incognita”. J Atmos Sci, 61(14): 1816–1826
https://doi.org/10.1175/1520-0469(2004)061<1816:TNMITT>2.0.CO;2
31 B W Yan , Q S Li , Y C He , P W Chan (2016). RANS simulation of neutral atmospheric boundary layer flows over complex terrain by proper imposition of boundary conditions and modification on the k–ε model. Environ Fluid Mech, 16(1): 1–23
https://doi.org/10.1007/s10652-015-9408-1
32 W Yang , J Andréasson , L Phil Graham , J Olsson , J Rosberg , F Wetterhall (2010). Distribution-based scaling to improve usability of regional climate model projections for hydrological climate change impacts studies. Hydrol Res, 41(3–4): 211–229
https://doi.org/10.2166/nh.2010.004
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