The wind flow around the buildings with different rooftops is studied numerically using large-eddy simulation (LES). The filtered Navier-Stokes equations in LES are used to compute the large eddies, whereas the dynamic Smagorinsky subgrid-scale (SGS) model calculates the small eddies. A turbulent spot method is applied for the synthesis of artificial turbulent fields at the inlet. In this separated and reattached flow, our aim is to analyze the wakes’ vortical structure along with the buildings of different heights and shapes. A large number of engineering applications involve precise predictions of the airflow around buildings to ensure performance and safety. To validate the numerical solver, a comparison is performed with the earlier reported numerical and experimental data. The turbulent flow characteristics are discussed in terms of instantaneous flow structure and time-averaged statistical flow quantities. All the cases are simulated for a Reynolds number to understand the turbulent airflow patterns. The flow shows a separable bubble at the leading edge of the rooftop of the building that leads to recirculation at the lee side of the first row of buildings. Due to the recirculation, the suction arises near the leading edge of the building to assure a continuous flow of air around the obstacles. Further, Reynold stresses show high momentum fluxes in the frontal region of the buildings.
BarlowJBestMBohnenstengelSI, et al. Developing a research strategy to better understand, observe, and simulate urban atmospheric processes at kilometer to subkilometer scales. Bull Am Meteorol Soc2017; 98(10): ES261–ES264.
2.
PiringerMJoffreSBaklanovA, et al. The surface energy balance and the mixing height in urban areas—activities and recommendations of COST-Action 715. Boundary Layer Meteorol2007; 124: 3–24.
3.
HaanFLKareemA. Anatomy of turbulence effects on the aerodynamics of an oscillating prism. J Eng Mech2009; 135(9): 987–999.
4.
YangXLiY. The impact of building density and building height heterogeneity on average urban albedo and street surface temperature. Build Environ2015; 90: 146–156.
5.
KimJ-JBaikJ-J. Effects of inflow turbulence intensity on flow and pollutant dispersion in an urban street canyon. J Wind Eng Ind Aerodynamics2003; 91(3): 309–329.
6.
HeistDKBrixeyLARichmond-BryantJ, et al. The effect of a tall tower on flow and dispersion through a model urban neighborhood : Part 1. Flow characteristics. J Environ Monit2009; 11: 2163–2170.
7.
FernandoHJSZajicDDi SabatinoS, et al. Flow, turbulence, and pollutant dispersion in urban atmospheresa. Phys Fluids2010; 22(5): 051301.
8.
HangJLiYSandbergM, et al. The influence of building height variability on pollutant dispersion and pedestrian ventilation in idealized high-rise urban areas. Build Environ2012; 56: 346–360.
9.
BlockenBStathopoulosTvan BeeckJPAJ. Pedestrian-level wind conditions around buildings: review of wind-tunnel and CFD techniques and their accuracy for wind comfort assessment. Build Environ2016; 100: 50–81.
10.
XuXYangQYoshidaA, et al. Characteristics of pedestrian-level wind around super-tall buildings with various configurations. J Wind Eng Ind Aerodynamics2017; 166: 61–73.
11.
KwonDKKareemA. Comparative study of major international wind codes and standards for wind effects on tall buildings. Eng Struct2013; 51: 23–35.
12.
NgE. Policies and technical guidelines for urban planning of high-density cities - air ventilation assessment (AVA) of Hong Kong. Build Environ2009; 44(7): 1478–1488.
13.
CooperKRNakayamaMSasakiY, et al. Unsteady aerodynamic force measurements on a super-tall building with a tapered cross section. J Wind Eng Ind Aerodynamics1997; 72: 199–212.
14.
TanakaHTamuraYOhtakeK, et al. Experimental investigation of aerodynamic forces and wind pressures acting on tall buildings with various unconventional configurations. J Wind Eng Ind Aerodynamics2012; 107-108: 179–191.
15.
KimYCKandaJ. Wind pressures on tapered and set-back tall buildings. J Fluid Struct2013; 39: 306–321.
16.
AminJAAhujaAK. Characteristics of wind forces and responses of rectangular tall buildings. Int J Adv Struct Eng2014; 6: 1–14.
17.
XuZXieJ. Assessment of across-wind responses for aerodynamic optimization of tall buildings. Wind Structures2015; 21(5): 505–521.
18.
KumarSHRajanSSAndrewJA, et al. Aerodynamic coefficients for a rectangular tall building under sub-urban terrain using wind tunnel. Asian J Civil Eng2016; 17(3): 325–333.
19.
ZhangJWLiQS. Wind tunnel test and field measurement study of wind effects on a 600-m-high super-tall building. Struct Des Tall Spec Build2017; 26(17): e1385.
20.
HassanliSChauhanKZhaoM, et al. Application of through-building openings for wind energy harvesting in built environment. J Wind Eng Ind Aerodynamics2019; 184: 445–455.
21.
HuiYYuanKChenZ, et al. Characteristics of aerodynamic forces on high-rise buildings with various façade appurtenances. J Wind Eng Ind Aerodynamics2019; 191: 76–90.
22.
HertwigDGoughHLGrimmondS, et al. Wake characteristics of tall buildings in a realistic urban canopy. Boundary Layer Meteorol2019; 172: 239–270.
23.
YangQLiuZHuiY, et al. Modification of aerodynamic force characteristics on high-rise buildings with arrangement of vertical plates. J Wind Eng Ind Aerodynamics2020; 200: 104155.
24.
ChenZKimBLeeD-E. Aerodynamic characteristics and lateral displacements of a set of two buildings in a linked tall building system. Sensors2021; 21(12): 4046.
25.
MontazeriHBlockenB. CFD simulation of wind-induced pressure coefficients on buildings with and without balconies: validation and sensitivity analysis. Build Environ2013; 60: 137–149.
26.
XieJ. Aerodynamic optimization of super-tall buildings and its effectiveness assessment. J Wind Eng Ind Aerodynamics2014; 130: 88–98.
27.
Toja-SilvaFPeraltaCLopez-GarciaO, et al. Roof region dependent wind potential assessment with different RANS turbulence models. J Wind Eng Ind Aerodynamics2015; 142: 258–271.
28.
MouBHeB-JZhaoD-X, et al. Numerical simulation of the effects of building dimensional variation on wind pressure distribution. Eng Appl Comput Fluid Mech2017; 11(1): 293–309.
29.
ElshaerABitsuamlakGEl DamattyA. Enhancing wind performance of tall buildings using corner aerodynamic optimization. Eng Struct2017; 136: 133–148.
30.
de Macêdo WahrhaftigAda SilvaMA. Using computational fluid dynamics to improve the drag coefficient estimates for tall buildings under wind loading. Struct Des Tall Spec Build2018; 27(3): e1442.
31.
MittalHSharmaAGairolaA. A review on the study of urban wind at the pedestrian level around buildings. J Build Eng2018; 18: 154–163.
32.
BairagiAKDaluiSK. Comparison of aerodynamic coefficients of setback tall buildings due to wind load. Asian J Civil Eng2018; 19: 205–221.
33.
MengF-QHeB-JZhuJ, et al. Sensitivity analysis of wind pressure coefficients on CAARC standard tall buildings in CFD simulations. J Build Eng2018; 16: 146–158.
34.
Baghaei DaemeiAKhotbehsaraEMNobaraniEM, et al. Study on wind aerodynamic and flow characteristics of triangular-shaped tall buildings and CFD simulation in order to assess drag coefficient. Ain Shams Eng J2019; 10(3): 541–548.
35.
LiYChenL. Study on the influence of voids on high-rise building on the wind environment. Build Simul2020; 13: 419–438.
36.
JafariMAlipourA. Methodologies to mitigate wind-induced vibration of tall buildings: A state-of-the-art review. J Build Eng2021; 33: 101582.
37.
NoormohamadianMSalajeghehE. Evaluation and minimization of moment coefficient of tall buildings with trilateral cross-section via a surrogate model. SN Appl Sci2021; 3(2): 1–14.
38.
DaemeiABDarvishAAeinehvandR, et al. Large-eddy Simulation (LES) on the square and triangular tall buildings to measure drag force. Adv Civil Eng2021; 2021(6666895): 1–11.
39.
AristodemouEMottetLConstantinouA, et al. Turbulent flows and pollution dispersion around tall buildings using adaptive large eddy Simulation (LES). Buildings2020; 10(7): 127.
40.
VitaGSalvadoriSMisulDA, et al. Effects of inflow condition on RANS and LES predictions of the flow around a high-rise building. Fluids2020; 5(4): 233.
41.
HaqueJMollaMMKhanMAI, et al. Graphics process unit accelerated lattice Boltzmann simulation of indoor air flow: Effects of sub-grid scale model in large-eddy simulation. Proc IMechE, Part C: J Mechanical Engineering Science2020; 234(20): 4024–4040.
42.
HassanSMollaMMNagP, et al. Unsteady RANS simulation of wind flow around a building shape obstacle. Build Simul2022; 15(2): 291–312.
43.
SmagorinskyJ. General circulation experiments with the primitive equations. I. The basic experiment. Mon Weather Rev1963; 91: 99–164.
44.
LillyDK. The representation of small-scale turbulence in numerical simulation experiments. In: Proceedings of IBM scientific computing symposium on environmental sciences, Yorktown Heights, NY, 1967, pp.195–210. White Plains, NY: IBM Data Process. Div.
45.
MasonPJ. Large-eddy simulation: A critical review of the technique. Q J R Meteorol Soc1994; 120(515): 1–26.
46.
HuntJCRStretchDBritterRE. Length scales instably stratified turbulent flows their use in turbulence models. In: PuttockJS (ed.) Stably stratified flows and dense gas dispersion. Oxford: Clarendon Press, 1988, pp.285–322.
47.
CanutoVMChengY. Determination of the Smagorinsky–Lilly constant Cs. Phys Fluids1997; 9(5): 1368–1378.
48.
RedelspergerJLMahéFCarlottiP. A simple and general subgrid model suitable both for surface layer and free-stream turbulence. Boundary Layer Meteorol2001; 101: 375–408.
49.
GermanoMPiomelliUMoinP, et al. A dynamic subgrid-scale eddy viscosity model. Phys Fluids Fluid Dyn1991; 3(7): 1760–1765.
50.
LillyD. A proposed modification of Germano subgrid-scale closure method. Phys Fluids1992; 4: 633–635.
51.
GermanoM. Turbulence: the filtering approach. J Fluid Mech1992; 238: 325–336.
52.
KrögerHKornevN. Synthesis of turbulent velocity feilds at inflow boundaries in LES and hybrid methods. In: 10th International symposium on turbulence and shear flow phenomena (TSFP10), Chicago, IL, July2017, pp.P–32.
53.
WellerHGTaborGJasakH, et al. A tensorial approach to computational continuum mechanics using object-oriented techniques. Comput Phys1998; 12(6): 620–631.
54.
JasakHJemcovATukovicZ. OpenFOAM: A C++ library for complex physics simulations. In: International workshop on coupled methods in numerical dynamics, IUC, Dubrovnik, Croatia.
55.
WerthM. Vergleichende Studie zu Windlastmodellen im Hochbau: Numerische Strömungsberechnung vs. Druckmessungen im Windkanal. MSc Thesis, Graz University of Technology, Graz, 2019.
56.
LarKermaniERoohiEPorté-AgelF. Evaluating the modulated gradient model in large eddy simulation of channel flow with OpenFOAM. J Turbulence2018; 19(7): 600–620.
57.
ZahiriA-PRoohiE. Anisotropic minimum-dissipation (AMD) subgrid-scale model implemented in OpenFOAM: Verification and assessment in single-phase and multi-phase flows. Comput Fluids2019; 180: 190–205.
58.
RoachePJ. Quantification of uncertainty in computational fluid dynamics. Annu Rev Fluid Mech1997; 29(1): 123–160.
59.
CadafalchJPérez-SegarraCDConsulR, et al. Verification of finite volume computations on steady-state fluid flow and heat transfer. J Fluid Eng2002; 124(1): 11–21.
60.
CelikIBGhiaURoachePJ, et al. Procedure for estimation and reporting of uncertainty due to discretization in CFD applications. J Fluids Eng2008; 130(7): 078001.
61.
RoachePJ. Perspective: a method for uniform reporting of grid refinement studies. J Fluids Eng1994; 116(3): 405–413.
62.
BourgeoisJASattariPMartinuzziRJ. Alternating half-loop shedding in the turbulent wake of a finite surface-mounted square cylinder with a thin boundary layer. Phys Fluids2011; 23(9): 095101.
63.
SaeediMLePoudrePPWangB-C. Direct numerical simulation of turbulent wake behind a surface-mounted square cylinder. J Fluid Struct2014; 51: 20–39.
64.
YousifMZLimH. Improved delayed detached-eddy simulation and proper orthogonal decomposition analysis of turbulent wake behind a wall-mounted square cylinder. AIP Adv2021; 11(4): 045011.
