Comparative Study of Wind Pressure Variations on Rectangular Buildings using Python Programming
DOI:
https://doi.org/10.51983/tarce-2022.11.2.3494Keywords:
Design Wind Pressure, Design Wind Velocity, Python Programming, Terrain Simulation, IS 875 (Part 3)Abstract
In this research article an attempt has been made to analyse the design wind pressure on the rectangular buildings using Python programming. For this purpose, design wind pressure is calculated and compared using IS 875 (Part 3) 1987 and the revised code IS 875 (Part 3) 2015. The concept have been applied to three different building heights i.e. 20, 40, and 60 m having same plan 1010 m2. It has been observed that the impact of wind pressure on the building rises with the building height along with the fact that the design wind pressures obtained from revised code show more pressures in comparison to the old one. Therefore, the design based on the revised code will be more close to the reality as it incorporates risk factor, directionality factor, area averaging factor, and combination factors. Also, the module developed for wind loads can be readily used by the researchers/designers for the better understanding of programming and the design loads.
References
J. E. Cermak and R. E. Atkins, “Wind loads on structures,” 1976. DOI: 10.1680/ijoti.1950.12925.
J. D. Holmes, C. Paton, and R. Kerwin, “Wind Loading of Structures,” CRC press, 2007. DOI: 10.4324/9780203964286.
J. D. Holmes, C. Paton, and R. Kerwin, “Wind Loading of Structures,” Wind Load. Struct., Vol. 88, 2007, DOI: 10.4324/9780203964286.
K. Butler, S. Cao, A. Kareem, Y. Tamura, and S. Ozono, “Surface pressure and wind load characteristics on prisms immersed in a simulated transient gust front flow field,” J. Wind Eng. Ind. Aerodyn., Vol. 98, No. 6-7, pp. 299-316, 2010, DOI: 10.1016/j.jweia.2009.11. 003.
M. E. Greenway, “An analytical approach to wind velocity gust factors,” J. Wind Eng. Ind. Aerodyn., Vol. 5, No. 1-2, pp. 61-91, 1979, DOI: 10.1016/0167-6105(79)90025-4.
P. Bot, I. M. Viola, R. G. J. Flay, and J. S. Brett, “Wind-tunnel pressure measurements on model-scale rigid downwind sails,” Ocean Eng., Vol. 90, pp. 84-92, 2014, DOI: 10.1016/j.oceaneng.2014.07.024.
J. E. Cermak and W. Z. Sadeh, “Wind-tunnel simulation of wind loading on structures,” J. Wind Eng. Ind. Aerodyn., Vol. 91, No. 12-15, pp. 1627-1649, 1971.
L. D. Zhu, L. Li, Y. L. Xu, and Q. Zhu, “Wind tunnel investigations of aerodynamic coefficients of road vehicles on bridge deck,” J. Fluids Struct., Vol. 30, pp. 35-50, 2012, DOI: 10.1016/j.jfluidstructs.2011. 09.002.
Y. Uematsu and N. Isyumov, “Wind pressures acting on low-rise buildings,” J. Wind Eng. Ind. Aerodyn., Vol. 82, No. 1, pp. 1-25, 1999, DOI: 10.1016/S0167-6105(99)00036-7.
R. Woo Kim, I. Bok Lee, U. Hyeon Yeo, and S. Yeon Lee, “Evaluation of various national greenhouse design standards for wind loading,” Biosyst. Eng., Vol. 188, pp. 136-154, 2019, DOI: 10.1016/j.biosystems eng.2019.10.004.
M. M. M. Al-deraan, “A Comparative Study of Wind Forces on Tall Building as Per Is 875-Part-III (1987) and Draft Code (2011) using Gust Factor Method A Comparative Study of Wind Forces on Tall Building as Per Is 875- Part-III (1987) and Draft Code (2011) using Gust Fa,” Int. J. Sci. Technol. Res. ISSN, September 2013, pp. 2319-8885, 2018.
S. M. Pimpalkar and K. Padmawar, “To Analyze and Comparing a G+12 story RCC building using IS-875 (part 3)-2015 and ASCE-07 for basic wind speed of 50m/s using STADD PRO software,” Int. Res. J. Eng. Technol., 2022, [Online]. Available: www.irjet.net.
K. K. N.M. Bhandari and Prem Krishna, “An Explanatory Handbook on Proposed IS 875 (Part3) Wind Loads on Buildings and Structures,” News. Ge, [Online]. Available: https://news.ge/anakliis-porti-aris-qveynis-momava, 2018.
M. M. M. Al-deraan, “A Comparative Study of Wind Forces on Tall Building as Per Is 875-Part-III (1987) and Draft Code (2011) using Gust Factor Method A Comparative Study of Wind Forces on Tall Building as Per Is 875- Part-III (1987) and Draft Code (2011) using Gust Fa,” No. September 2013, 2018.
P. K. Goyal and N. Suthar, “Comparison of Response on Building Due to Wind Load as Per Wind Codes [IS 875-(Part 3)-2015] and [AS/NZ1170.2-2011],” in Lecture Notes in Civil Engineering, Springer, Vol. 274, 2023, pp. 307-317. DOI: 10.1007/978-981-19-4055-2_25.
S. Prajapati and K. Soni, “Analysis of A Tall Structure Using Staad. Pro Providing Different Wind Intensities as Per 875 Part-III,” 2019.
P. Dumka, A. Deo, K. Gajula, V. Sharma, R. Chauhan, and D. R. Mishra, “Load and Load Duration Curves Using Python,” Int. J. All Res. Educ. Sci. Methods, Vol. 10, No. 8, pp. 2127-2134, 2022.
P. S. Pawar, D. R. Mishra, P. Dumka, and M. Pradesh, “Obtaining Exact Solutions of Visco-Incompressible Parallel Flows Using Python,” Int. J. Eng. Appl. Sci. Technol., Vol. 6, No. 11, pp. 213-217, 2022.
K. Gajula, V. Sharma, B. Sharma, D. R. Mishra, and P. Dumka, “Modelling of Energy in Transit Using Python,” Int. J. Innov. Sci. Res. Technol., Vol. 7, No. 8, pp. 1152-1156, 2022.
P. Dumka, P. S. Pawar, A. Sauda, G. Shukla, and D. R. Mishra, “Application of He’s homotopy and perturbation method to solve heat transfer equations: A python approach,” Adv. Eng. Softw., Vol. 170, pp. 103160, May 2022, DOI: 10.1016/j.advengsoft.2022.103160.
C. Fuhrer, O. Verdier, J. E. Solem, C. Führer, O. Verdier, and J. E. Solem, Scientific Computing with Python. High-performance scientific computing with NumPy, SciPy, and pandas. Packt Publishing Ltd, 2021.
C. Bauckhage, “NumPy/SciPy Recipes for Data Science: Subset-Constrained Vector Quantization via Mean Discrepancy Minimization,” pp. 1-4, February 2020.
S. Van Der Walt, S. C. Colbert, and G. Varoquaux, “The NumPy array: A structure for efficient numerical computation,” Comput. Sci. Eng., Vol. 13, No. 2, pp. 22-30, 2011, DOI: 10.1109/MCSE.2011.37.
P. Dumka, K. Rana, S. Pratap, S. Tomar, P. S. Pawar, and D. R. Mishra, “Modelling air standard thermodynamic cycles using python,” Adv. Eng. Softw., Vol. 172, pp. 103186, July 2022, DOI: 10.1016/j.advengsoft.2022.103186.
J. Ranjani, A. Sheela, and K. Pandi Meena, “Combination of NumPy, SciPy and Matplotlib/Pylab-A good alternative methodology to MATLAB-A Comparative analysis,” in Proceedings of 1st International Conference on Innovations in Information and Communication Technology, ICIICT 2019, pp. 1-5. DOI: 10.1109/ICIICT1.2019.8741475.
P. Dumka, R. Chauhan, A. Singh, G. Singh, and D. Mishra, “Implementation of Buckingham ‘ s Pi theorem using Python,” Adv. Eng. Softw., Vol. 173, pp. 103232, July 2022, DOI: 10.1016/j.adv engsoft.2022.103232.
M. Cywiak and D. Cywiak, “SymPy,” in Multi-Platform Graphics Programming with Kivy: Basic Analytical Programming for 2D, 3D, and Stereoscopic Design, Berkeley, CA: Apress, pp. 173-190, 2021. DOI: 10.1007/978-1-4842-7113-111.
E. Bisong, “Matplotlib and Seaborn,” in Building Machine Learning and Deep Learning Models on Google Cloud Platform, Berkeley, CA: Apress, pp. 151-165, 2019. DOI: 10.1007/978-1-4842-4470-8_12.
V. Porcu, “Matplotlib,” in Python for Data Mining Quick Syntax Reference, Berkeley, CA: A press, pp. 201-234, 2018. DOI: 10.1007/978-1-4842-4113-4_10.
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