Three square plan shaped tall buildings are arranged at the vertices of an equilateral triangle of varying size. The octagonal plan shaped principal building is also positioned randomly such that the position of the principal building is never overlapped with the square plan shaped buildings. The effect of interference of the square buildings on the wind-induced responses of the principal building is thoroughly measured by computational fluid dynamics using large eddy simulation turbulence model. Metamodels for drag and lift coefficients of the principal building in the interfering conditions are established. Interference factors for the pressure coefficients at different faces of the principal building is calculated and cast into efficient mathematical models. Pareto optimality for the maximum interference criterion is obtained. The optimal positions of the principal and interfering buildings for maximum interference are plotted. Selected cases from the Pareto optima are analysed to obtain the transient wind effects for those interference cases. The peak and root-mean-square pressure coefficients of these interfering conditions are compared with that of the isolated condition. The difference between the power spectra of the isolated and interfering conditions are also depicted.
CelikIBCehreliZNYavuzI (2005) Index of resolution quality for large eddy simulations. Journal of Fluids Engineering127(5): 949–958. DOI: 10.1115/1.1990201.
2.
ChakrabortySDaluiSKAhujaAK (2014) Wind load on irregular plan shaped tall building - a case study. Wind and Structures19(1): 59–73. DOI: 10.12989/was.2014.19.1.059.
3.
ChenZFuXXuY, et al. (2021) A perspective on the aerodynamics and aeroelasticity of tapering: partial reattachment. Journal of Wind Engineering and Industrial Aerodynamics212(October 2020): 104590. DOI: 10.1016/j.jweia.2021.104590.
DebKPratapAAgarwalS, et al. (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation6(2): 182–197. DOI: 10.1109/4235.996017.
6.
FangK-TLinDKJWinkerP, et al. (2000) Uniform design: theory and application. Technometrics42(3): 237–248.
7.
FrankeJHirschCJensenAg, et al. (2004) Recommendations on the Use of CFD in Wind Engineering. Cost Action C. (January), 1–11.
8.
GermanoMPiomelliUMoinP, et al. (1991) A dynamic subgrid‐scale eddy viscosity model. Physics of Fluids A: Fluid Dynamics3(7): 1760–1765.
9.
HuGTseKTKwokKCS, et al. (2015) Large eddy simulation of flow around an inclined finite square cylinder. Journal of Wind Engineering and Industrial Aerodynamics146: 172–184. DOI: 10.1016/j.jweia.2015.08.008.
10.
HuGLiuLTaoD, et al. (2020) Deep learning-based investigation of wind pressures on tall building under interference effects. Journal of Wind Engineering and Industrial Aerodynamics201: 104138. DOI: 10.1016/j.jweia.2020.104138.
11.
HuiYTamuraYYangQ (2017) Analysis of interference effects on torsional moment between two high-rise buildings based on pressure and flow field measurement. Journal of Wind Engineering and Industrial Aerodynamics164: 54–68. DOI: 10.1016/j.jweia.2017.02.008.
12.
KarR.DaluiS. K. (2016). Wind interference effect on an octagonal plan shaped tall building due to square plan shaped tall buildings. International Journal of Advanced Structural Engineering, 8(1), 73–86. DOI: 10.1007/s40091-016-0115-z.
13.
KarRDaluiSKBhattacharjyaS (2019) An efficient optimization approach for wind interference effect on octagonal tall building. Wind and Structures: An International Journal28(2): 111–128. DOI: 10.12989/was.2019.28.2.111.
14.
KavehALaknejadiKAlinejadB (2012) Performance-based multi-objective optimization of large steel structures. Acta Mechanica223(2): 355–369. DOI: 10.1007/s00707-011-0564-1.
15.
KavehARastegar MoghaddamMKhanzadiM (2018) Efficient multi-objective optimization algorithms for construction site layout problem. Scientia Iranica25(4): 2051–2062. DOI: 10.24200/sci.2017.4216.
16.
KavehAVaziriniaY (2018) Optimization of tower crane location and material quantity between supply and demand points: a comparative study. Periodica Polytechnica Civil Engineering62(3): 732–745. DOI: 10.3311/PPci.11816.
17.
KrönkeISockelH (2007) Measurement of extreme aerodynamic interference forces acting on circular cylinders in turbulent boundary layers. Journal of Wind Engineering and Industrial Aerodynamics95(9–11): 1229–1241. DOI: 10.1016/j.jweia.2007.02.009.
18.
LakshmananNArunachalamSSelvi RajanS, et al. (2002) Correlations of aerodynamic pressures for prediction of across wind response of structures. Journal of Wind Engineering and Industrial Aerodynamics90(8): 941–960. DOI: 10.1016/S0167-6105(02)00213-1.
19.
LiCYTseTKTHuG (2020) Dynamic mode decomposition on pressure flow field analysis: flow field reconstruction, accuracy, and practical significance. Journal of Wind Engineering and Industrial Aerodynamics205: 104278. DOI: 10.1016/j.jweia.2020.104278.
20.
LinNLetchfordCTamuraY, et al. (2005) Characteristics of wind forces acting on tall buildings. Journal of Wind Engineering and Industrial Aerodynamics93(3): 217–242. DOI: 10.1016/j.jweia.2004.12.001.
21.
LoYKimYC (2019) Estimation of wind-induced response on high-rise buildings immersed in interfered flow. Journal ofApplied Science and Engineering22(3): 429–448. DOI: 10.6180/jase.201909.
22.
LoY-LKimYCLiY-C (2016) Downstream interference effect of high-rise buildings under turbulent boundary layer flow. Journal of Wind Engineering and Industrial Aerodynamics159: 19–35. DOI: 10.1016/j.jweia.2016.10.002.
23.
MaraTGTerryBKHoTCE, et al. (2014) Aerodynamic and peak response interference factors for an upstream square building of identical height. Journal of Wind Engineering and Industrial Aerodynamics133: 200–210. DOI: 10.1016/j.jweia.2014.06.010.
24.
MenterFR (2012) Best Practice: Scale-Resolving Simulations in ANSYS CFD. ANSYS Germany GmbH.
25.
MittalHSharmaAGairolaA (2019) Investigation of pedestrian-level wind environment near two high-rise buildings in different arrangements. Advances in Structural Engineering22(12): 2620–2634. DOI: 10.1177/1369433219849832.
26.
Alves PortelaFPapadakisGVassilicosJC (2017) The turbulence cascade in the near wake of a square prism. Journal of Fluid Mechanics825: 315–352. DOI: 10.1017/jfm.2017.390.
27.
RajoraRVeeravalliSVAhmadS (2020) Aerodynamic interference of straight and tapered cylinder pairs near the first critical wind speed. Journal of Wind Engineering and Industrial Aerodynamics201: 104171. DOI: 10.1016/j.jweia.2020.104171.
SharmaAMittalHGairolaA (2019) Detached-eddy simulation of interference between buildings in tandem arrangement. Journal of Building Engineering21: 129–140. DOI: 10.1016/j.jobe.2018.10.004.
30.
SohankarADavidsonLNorbergC (2000) Large eddy simulation of flow past a square cylinder: comparison of different subgrid scale models. Journal of Fluids Engineering122(1): 39–47. DOI: 10.1115/1.483224.
31.
SyLDYamadaHKatsuchiH (2019) Interference effects of wind-over-top flow on high-rise buildings. Journal of Wind Engineering and Industrial Aerodynamics187: 85–96. DOI: 10.1016/j.jweia.2019.02.001.
32.
WasalaSHStoreyRCNorrisSE, et al. (2015) Aeroacoustic noise prediction for wind turbines using Large Eddy Simulation. Journal of Wind Engineering and Industrial Aerodynamics145: 17–29. DOI: 10.1016/j.jweia.2015.05.011.
33.
XingQQianJ (2018) CFD analysis of wind interference effects of three high-rise buildings. Journal of Asian Architecture and Building Engineering17(3): 487–494. DOI: 10.3130/jaabe.17.487.
34.
YuXFXieZNZhuJB, et al. (2015) Interference effects on wind pressure distribution between two high-rise buildings. Journal of Wind Engineering and Industrial Aerodynamics142: 188–197. DOI: 10.1016/j.jweia.2015.04.008.
35.
YuXXieZGuM (2018) Interference effects between two tall buildings with different section sizes on wind-induced acceleration. Journal of Wind Engineering and Industrial Aerodynamics182: 16–26. DOI: 10.1016/j.jweia.2018.09.012.
36.
ZuGBLamKM (2018) Across-wind excitation mechanism for interference of twin tall buildings in staggered arrangement. Journal of Wind Engineering and Industrial Aerodynamics177(December): 167–185. DOI: 10.1016/j.jweia.2018.04.019.
