Multiobjective Aerodynamic Optimization of Tall Building Openings for Wind-Induced Load Reduction
Publication: Journal of Structural Engineering
Volume 144, Issue 10
Abstract
The dependency of wind forces and responses on the outer shape of tall buildings provides a unique opportunity to reduce wind effects through the aerodynamic optimization of the outer shape. The current study presents a multiobjective aerodynamic optimization procedure (AOP) by introducing horizontal openings to reduce wind load. The adopted method joins an optimization algorithm, large eddy simulation (LES), and an artificial neural network (ANN) surrogate model. The base building geometry is the Commonwealth Advisory Aeronautical Research Council (CAARC) building. The present optimization process is carried out by introducing three openings along the height of the building. However, the adopted method is useful for any shape modifications. In all cases, opening volumes are maintained at 10% of the total building volume to enable a simple comparative performance assessment. The objective of the optimization process is to identify the optimal aspect ratio and distances between the openings that produce the best aerodynamic performance. Three optimization problems are presented. The first two follow single-objective optimization to reduce the peak base moment coefficients about the - and -directions, respectively. Reductions of 47% and 42% are achieved for the moments about the - and -directions, respectively. The third optimization is a multiobjective optimization problem, which aims to simultaneously reduce the two base moments.
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Acknowledgments
The authors would like to acknowledge the financial support from the National Research Council of Canada (NSERC), Canada Research Chair (for the second author), and Ontario Center of Excellence and SOSCIP Talent Edge Postdoctoral Fellowship (for the first author). The authors are grateful for access to SHARCNET and SOSCIP (high-performance computing centers) and support received from their excellent technical support team.
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Published In
Journal of Structural Engineering
Volume 144 • Issue 10 • October 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: Jun 17, 2017
Accepted: May 8, 2018
Published online: Aug 14, 2018
Published in print: Oct 1, 2018
Discussion open until: Jan 14, 2019
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