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This content will become publicly available on November 1, 2024

Title: Surrogate-based cyber-physical aerodynamic shape optimization of high-rise buildings using wind tunnel testing
This study proposes a surrogate-based cyber-physical aerodynamic shape optimization (SB-CP-ASO) approach for high-rise buildings under wind loading. Three components are developed in the SB-CP-ASO procedure: (1) an adaptive subtractive manufacturing technique, (2) a high-throughput wind tunnel testing procedure, and (3) a flexible infilling strategy. The downtime of the procedure is minimized through a parallel manufacturing and testing (llM&T) technique. An unexplored double-section setback strategy with various cross-sections and transitions positions is used to demonstrate the performance of the proposed procedure. A total of 173 physical specimens were evaluated to reach the optimization convergence within the reserved testing window. Further analysis of promising shapes considering multiple design wind speeds is suggested to achieve target performance objectives at various hazard levels. Practical information on setback and cross-section modification strategies is discussed based on the optimization results. In comparison with a square benchmark model, the roof drifts for promising candidates with similar building volumes are reduced by more than 70% at wind speeds higher than 50 m/s. This procedure is expected to provide an efficient platform between owners, architects, and structural engineers to identify ideal candidates within a defined design space for real-world applications of high-rise buildings.  more » « less
Award ID(s):
2028762 2037725
NSF-PAR ID:
10478419
Author(s) / Creator(s):
; ;
Publisher / Repository:
Elsevier
Date Published:
Journal Name:
Journal of Wind Engineering and Industrial Aerodynamics
Volume:
242
Issue:
C
ISSN:
0167-6105
Page Range / eLocation ID:
105586
Subject(s) / Keyword(s):
["Aerodynamic shape optimization","Surrogate modeling","Wind tunnel testing","CNC manufacturing","Tall buildings","Aerodynamic strategies"]
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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