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http://dx.doi.org/10.12989/was.2022.34.3.259

Aerodynamic shape optimization of a high-rise rectangular building with wings  

Paul, Rajdip (Department of Civil Engineering, Hooghly Engineering & Technology College)
Dalui, Sujit Kumar (Department of Civil Engineering, Indian Institute of Engineering Science and Technology)
Publication Information
Wind and Structures / v.34, no.3, 2022 , pp. 259-274 More about this Journal
Abstract
The present paper is focused on analyzing a set of Computational Fluid Dynamics (CFD) simulation data on reducing orthogonal peak base moment coefficients on a high-rise rectangular building with wings. The study adopts an aerodynamic optimization procedure (AOP) composed of CFD, artificial neural network (ANN), and genetic algorithm (G.A.). A parametric study is primarily accomplished by altering the wing positions with 3D transient CFD analysis using k - ε turbulence models. The CFD technique is validated by taking up a wind tunnel test. The required design parameters are obtained at each design point and used for training ANN. The trained ANN models are used as surrogates to conduct optimization studies using G.A. Two single-objective optimizations are performed to minimize the peak base moment coefficients in the individual directions. An additional multiobjective optimization is implemented with the motivation of diminishing the two orthogonal peak base moments concurrently. Pareto-optimal solutions specifying the preferred building shapes are offered.
Keywords
Artificial Neural Network (ANN); computational fluid dynamics; genetic algorithm; high-rise building; multiobjective optimization; wind tunnel;
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Times Cited By KSCI : 7  (Citation Analysis)
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1 Paul, R. and Dalui, S.K. (2016), "Wind effects on 'Z' plan-shaped tall building: A case study", Int. J. Adv. Struct. Eng., 8(3), 319-335. https://doi.org/10.1007/s40091-016-0134-9.   DOI
2 Paul, R. and Dalui, S.K. (2020), "Prognosis of wind-tempted mean pressure coefficients of cross-shaped tall buildings using artificial neural network", Periodica Polytechnica Civil Engineering, 64(4), 1124-1143. https://doi.org/10.3311/PPci.16311.   DOI
3 Paul, R. and Dalui, S.K. (2020), "Shape optimization to reduce wind pressure on the surfaces of a rectangular building with horizontal limbs", Periodica Polytechnica Civil Eng., 65(1), 134-149. https://doi.org/10.3311/PPci.16888.   DOI
4 Paul, R. and Dalui, S.K. (2021), "Optimization of alongwind and crosswind force coefficients on a tall building with horizontal limbs using surrogate modeling", Struct. Des. Tall Spec. Buildings, 30(4). https://doi.org/10.1002/tal.1830.   DOI
5 Revuz, J., Hargreaves, D.M. and Owen, J.S. (2012), "On the domain size for the steady-state CFD modelling of a tall building", Wind Struct., 15(4), 313-329.   DOI
6 Surry, D. and Djakovich, D. (1995). "Fluctuating pressures on models of tall buildings", J. Wind Eng. Ind. Aerod., 58(1-2), 81-112. https://doi.org/10.1016/0167-6105(95)00015-J.   DOI
7 Zhang, A. and Gu, M. (2008), "Wind tunnel tests and numerical simulations of wind pressures on buildings in staggered arrangement", J. Wind Eng. Ind. Aerod., 96(10-11), 2067-2079. https://doi.org/10.1016/j.jweia.2008.02.013.   DOI
8 Wang, J. and Cheng, C.M. (2010), "The application of artificial neural networks to predict wind spectra for rectangular cross-section buildings", The Fifth International Symposium on Computational Wind Engineering (CWE2010), Chapel Hill, North Carolina, May.
9 Verma, S.K., Kumar, K. and Kaur, H. (2014), "Estimation of coefficient of pressure in high-rise buildings using artificial neural network", Int. J. Eng. Res. Appl., 4(4), 105-110.
10 Sanyal, P. and Dalui, S.K. (2021), "Effects of internal angle between limbs of "Y" plan shaped tall building under wind load", J. Build. Eng., 33. https,//doi.org/10.1016/j.jobe.2020.101843.   DOI
11 Aboshosha, H., Elshaer, A., Bitsuamlak, G. and El Damatty, A. (2017), "Enhancing wind performance of tall buildings using corner aerodynamic optimization", J. Wind Eng. Ind. Aerod., 142, 198-216. https://doi.org/10.1016/j.engstruct.2017.01.019.   DOI
12 Bairagi, A.K. and Dalui, S.K. (2020), "Forecasting of Wind Induced Pressure on Setback Building Using Artificial Neural Network", Periodica Polytechnica Civil Eng., 64(3), 751-763. https://doi.org/10.3311/PPci.15769.   DOI
13 Bairagi, A.K. and Dalui, S.K. (2021), "Wind Environment Around the Setback Building Models", Build. Simulation, 14, 1525-1541. https://doi.org/10.1007/s12273-020-0758-3.   DOI
14 Balendra, T., Anwar, M.P. and Tey, K.L. (2005),"Direct Measurement of Wind-induced Displacements in Tall Building Models Using Laser Positioning Technique", J. Wind Eng. Ind. Aerod., 93(5), 399-412, 2005. https://doi.org/10.1016/j.jweia.2005.03.003.   DOI
15 Bernardini, E., Spence, S., Wei, D. and Kareem, A. (2015), "Aerodynamic shape optimization of civil structures, a CFD-enabled kriging-based approach", J. Wind Eng. Ind. Aerod., 144, 154-164. https://doi.org/10.1016/j.jweia.2015.03.011.   DOI
16 Bhattacharyya, B., Dalui, S.K. and Ahuja, A.K. (2014), "Wind induced pressure on 'E' plan shaped tall buildings", Jordon J. Civil Eng., 8(2), 120-134.
17 Dagnew, A.K. and Bitsuamlak, G.T. (2014), "Computational evaluation of wind loads on a standard tall building using LES", Wind Struct., 18(5), 567-598. https://doi.org/10.12989/was.2014.18.5.567.   DOI
18 Van Druenen, T., van Hooff, T., Montazeri, H. and Blocken, B. (2019), "CFD evaluation of building geometry modifications to reduce pedestrian-level wind speed", Build. Environ., 63, 106293. https://doi.org/10.1016/j.buildenv.2019.106293.   DOI
19 Xin, Q. (2011), Diesel Engine System Design, Woodhead Publishing in Mechanical Engineering, Sawston, Cambridge.
20 Chakraborty, S., Dalui, S.K. and Ahuja, A.K. (2014b), "Experimental and numerical study of surface pressure on "+" plan shape tall building", Jordon J. Civil Eng., 8(3), 251-262. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002686.   DOI
21 Elshaer, A., Bitsuamlak, G. and Damatty, A. El. (2015), "Aerodynamic shape optimization for corners of tall buildings using CFD", 14th International Conference on Wind Engineering (ICWE), At Porto Alegre, Brazil. June.
22 Elshaer, A. and Bitsuamlak, G. (2018), "Multiobjective aerodynamic optimization of tall building openings for wind-induced load reduction", J. Struct. Eng., 144(10), 04018198. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002199.   DOI
23 Irwin, P.A. (2007), "Bluff body aerodynamics in wind engineering", J. Wind Eng. Ind. Aerod., 96(6-7), 701-712. https://doi.org/10.1016/j.jweia.2007.06.008.   DOI
24 I.S: 875 (Part-3) (2015), Code of Practice for The Design Loads (Other than Earthquake) for Buildings And Structures (Part-3, Wind Loads), New Delhi, India.
25 Kareem, A. (1986), "The effect of Aerodynamic interference on the dynamic response of prismatic structures", J. Wind Eng. Ind. Aerod., 25(3), 365-372.   DOI
26 David Hunter, D. and Yu, H. (2012), "Selection of Proper Neural Network Sizes and Architectures-A Comparative Study", IEEE Transactions Ind. Informatics, 8(2), 228-240. https://doi.org/10.1109/TII.2012.2187914.   DOI
27 Chakraborty, S., Dalui, S.K. and Ahuja, A.K. (2014), "Wind Load on irregular plan shaped tall building- A case study", Wind Struct, 18(6), 59-73. https://doi.org/10.12989/was.2014.19.1.059.   DOI
28 Daemei, A.B. and Eghbali, S.R. (2019), "Study on aerodynamic shape Optimization of tall buildings using architectural modifications in order to reduce wake region", Wind Struct., 29(2), 139-147. https://doi.org/10.12989/was.2019.29.2.139.   DOI
29 Dagnew, A.K. and Bitsuamlak, G.T. (2013), "Computational evaluation of wind loads on buildings: A review", Wind Struct., 16(6), 629-660. https://doi.org/10.12989/was.2013.16.6.629.   DOI
30 Donald, M. (1963), "An Algorithm for Least-Squares Estimation of Nonlinear Parameters", SIAM J. Appl. Mathem., 11(2), 431-441. https://doi.org/10.1137/0111030.   DOI
31 Zhi, L., Chen, B. and Fang, M. (2015), "Wind load estimation of super-tall buildings based on response data", Struct. Eng. Mech., 56(4), 625-648. https://doi.org/10.12989/sem.2015.56.4.625.   DOI
32 Vyavahare, A.Y., Godbole, P.N. and Nikose, T. (2012), "Analysis of tall building for across wind response", Int. J. Civil Struct. Eng., 2(3).
33 Xie. J. (2012), "Aerodynamic optimization in super-tall building designs", The Seventh International Colloquium on Bluff Body Aerodynamics and its Applications (BBAA7), Shanghai, China. September.
34 Li, Y., Tian, X., Tee, K.F., Li, Q.S. and Li, Y.G. (2018), "Aerodynamic treatments for reduction of wind loads on High-rise Building", J. Wind Eng. Ind. Aerod., 172, 107-115. https://doi.org/10.1016/j.jweia.2017.11.006.   DOI
35 Kenneth, L. (1944), "A Method for the Solution of Certain Non-Linear Problems in Least Squares", Quart. Appl. Mathem., 2(2), 164-168.   DOI
36 Kijewski, T. and Kareem, A. (1998), "Dynamic wind effects: A comparative study of provisions in codes and standards with wind tunnel data", Wind Struct., 1(1), 77-109. https://doi.org/10.12989/was.1998.1.1.077.   DOI
37 Elshaer, A., Bitsuamlak, G. and El Damatty, A. (2017), "Enhancing wind performance of tall buildings using corner aerodynamic optimization", Eng. Struct., 136, 133-148. https://doi.org/10.1016/j.engstruct.2017.01.019.   DOI
38 Sun, F. and Gu, M. (2014), "A numerical solution to fluid-structure interaction of membrane structures under wind action", Wind Struct., 19(1), 35-58. https://doi.org/10.12989/was.2014.19.1.035.   DOI
39 Tominaga, Y. and Stathopoulos, T. (2012), "CFD modelling of pollution dispersion in building array, evaluation of turbulent scalar flux modelling in RANS model using LES results", J. Wind Eng. Ind. Aerod., 104-106(May-July), 484-491. https://doi.org/10.1016/j.jweia.2012.02.004.   DOI
40 Elshaer, A., Bitsuamlak, G. and Damatty, A. El. (2016), "Aerodynamic shape optimization of tall buildings using twisting and corner modifications", 8th International Colloquium on Bluff Body Aerodynamics and Applications, Northeastern University, Boston, Massachusetts, USA. June.
41 Gu, M. and Xie Z.N. (2011), "Interference effects of two and three super-tall buildings under wind action", Acta Mechanica Sinica, 27(5), 687-696. https://doi.org/10.1007/s10409-011-0498-9.   DOI
42 Hagan, M.T. and Menhaj, M.B. (1994), "Training feed-forward networks with the Marquardt algorithm", IEEE Transactions Neural Networks, 5(6), 989-993. https://doi.org/10.1109/72.329697.   DOI
43 Kareem, A., Spence, S., Bernardini, E., Bobby, S. and Wei, D. (2013), "Using computational fluid dynamics to optimize tall building design", CTBUH J., Issue III, 38-43. 10.1016/0167-6105(87)90028-6.   DOI
44 Lin, N., Letchford, C., Tamura, Y. and Liang, B. (2004), "Characteristics of wind forces acting on tall buildings", J. Wind Eng. Ind. Aerod., 93(3), 217-242. https://doi.org/10.1016/j.jweia.2004.12.001.   DOI
45 Kim, Y., You, K. and Ko, N. (2008), "Across-wind Responses of an Aeroelastic Tapered Tall Building", J. Wind Eng. Ind. Aerod., 96(8-9), 1307-1319. 10.1016/j.jweia.2008.02.038.   DOI
46 Kwok, K.C.S., Hitchcock, P.A. and Burton, M.D. (2009), "Perception of Vibration and Occupant Comfort in Wind Excited Tall Buildings", J. Wind Eng. Ind. Aerod., 97(7-8), 368-380. https://doi.org/10.1016/j.jweia.2009.05.006.   DOI
47 Liang, S., Li, Q.S., Lui, S., Zhang, L. and Gu, M. (2004), "Torsional dynamic wind loads on rectangular tall buildings", Eng. Struct., 26(1), 129-137. https://doi.org/10.1016/j.engstruct.2003.09.004.   DOI
48 Mallick, M. and Mohanta, A. (2019), "Prediction of wind-induced mean pressure coefficients using GMDH neural network", J. Aeros. Eng., 33(1), 1-17. https://orcid.org/0000-0002-6025-266X.
49 MATLAB (2016), TheMathWorks, Massachusetts, United States.
50 Melbourne, W.H. (1993), "Turbulence and the leading edge phenomenon", J. Wind Eng. Ind. Aerod., 49(1-3), 45-63. https://doi.org/10.1016/0167-6105(93)90005-9.   DOI
51 Muehleisen, R.T. and Patrizi, S. (2013), "A new parametric equations for the wind pressure coefficient for low-rise buildings", Energy Build., 57, 245-249. https://doi.org/10.1016/j.enbuild.2012.10.051.   DOI
52 Nikose, T.J. and Sonparote, R.S. (2018), "Dynamic along wind response of tall buildings using Artificial Neural Network", Cluster Comput., 22(4), 1-16. https://doi.org/10.1007/s10586-018-2027-0.   DOI