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ANN based prediction of wind induced interference effects on hexagonal plan shaped tall buildings with openings

ANN based prediction of wind induced interference effects on hexagonal plan shaped tall buildings... Wind load is mostly influenced by the shape and size of the high-rise structure wind load is a horizontal load that also varies based on the shape and modifications provided along the vertical height of the tall building. The present study is investigating the wind effects on hexagonal plan-shaped high-rise structures provided with openings. Wind effects are compared in both isolated as well as in interference conditions at different spacings. Wind-generated effects on high rise structure are explained with the help of pressure contours, streamlines and average external pressure on each surface of the tall building for the wind incidence angle range from 0° to 90° at the interval of 30°. Most of the studies done on the high-rise structure are on different scales as per the range provided in the wind tunnel manual; hence, here the scale of 1:500 is adopted as per the various guidelines available in the wind tunnel manual report no. 67. The investigation is performed using the k-ε turbulence model in ANSYS CFX, a computational fluid dynamics tool. The results indicated an increase in mean pressure as the spacing between the primary building model and the interfering building model increased. Surface pressure coefficients obtained from different conditions on the primary building model were employed to develop an artificial neural network (ANN)-based prediction model. The generated model exhibited a high degree of reliability when compared to the provided data. Notably the maximum permissible error was considerably low, considering the uncertainty associated with wind effects. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Asian Journal of Civil Engineering Springer Journals

ANN based prediction of wind induced interference effects on hexagonal plan shaped tall buildings with openings

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References (48)

Publisher
Springer Journals
Copyright
Copyright © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
ISSN
1563-0854
eISSN
2522-011X
DOI
10.1007/s42107-023-00727-w
Publisher site
See Article on Publisher Site

Abstract

Wind load is mostly influenced by the shape and size of the high-rise structure wind load is a horizontal load that also varies based on the shape and modifications provided along the vertical height of the tall building. The present study is investigating the wind effects on hexagonal plan-shaped high-rise structures provided with openings. Wind effects are compared in both isolated as well as in interference conditions at different spacings. Wind-generated effects on high rise structure are explained with the help of pressure contours, streamlines and average external pressure on each surface of the tall building for the wind incidence angle range from 0° to 90° at the interval of 30°. Most of the studies done on the high-rise structure are on different scales as per the range provided in the wind tunnel manual; hence, here the scale of 1:500 is adopted as per the various guidelines available in the wind tunnel manual report no. 67. The investigation is performed using the k-ε turbulence model in ANSYS CFX, a computational fluid dynamics tool. The results indicated an increase in mean pressure as the spacing between the primary building model and the interfering building model increased. Surface pressure coefficients obtained from different conditions on the primary building model were employed to develop an artificial neural network (ANN)-based prediction model. The generated model exhibited a high degree of reliability when compared to the provided data. Notably the maximum permissible error was considerably low, considering the uncertainty associated with wind effects.

Journal

Asian Journal of Civil Engineering – Springer Journals

Published: Dec 1, 2023

Keywords: Wind; CFD; Tall building; Hexagon; Pressure contours; ANN predication

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