A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Surrogate-based cyber-physical aerodynamic shape optimization of high-rise buildings using wind tunnel testing
https://orcid.org/0000-0002-8979-0779
https://orcid.org/0000-0002-4931-1622
Abstract 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.
Highlights A surrogate-based cyber-physical aerodynamic shape optimization procedure for high-rise buildings is developed. A model-based local search algorithm is proposed to enhance the optimization performance. A parallel CNC manufacturing and wind tunnel testing technique is proposed to minimize the downtime. The robustness of the procedure is demonstrated through a double-section setback strategy. Practical information of aerodynamic strategies and wind design considerations are suggested.
Surrogate-based cyber-physical aerodynamic shape optimization of high-rise buildings using wind tunnel testing
https://orcid.org/0000-0002-8979-0779
https://orcid.org/0000-0002-4931-1622
Abstract 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.
Highlights A surrogate-based cyber-physical aerodynamic shape optimization procedure for high-rise buildings is developed. A model-based local search algorithm is proposed to enhance the optimization performance. A parallel CNC manufacturing and wind tunnel testing technique is proposed to minimize the downtime. The robustness of the procedure is demonstrated through a double-section setback strategy. Practical information of aerodynamic strategies and wind design considerations are suggested.
Surrogate-based cyber-physical aerodynamic shape optimization of high-rise buildings using wind tunnel testing
https://orcid.org/0000-0002-8979-0779
https://orcid.org/0000-0002-4931-1622
Abstract 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.
Highlights A surrogate-based cyber-physical aerodynamic shape optimization procedure for high-rise buildings is developed. A model-based local search algorithm is proposed to enhance the optimization performance. A parallel CNC manufacturing and wind tunnel testing technique is proposed to minimize the downtime. The robustness of the procedure is demonstrated through a double-section setback strategy. Practical information of aerodynamic strategies and wind design considerations are suggested.
Surrogate-based cyber-physical aerodynamic shape optimization of high-rise buildings using wind tunnel testing
Lu, Wei-Ting (author) / Phillips, Brian M. (author) / Jiang, Zhaoshuo (author)
2023-10-10
Article (Journal)
Electronic Resource
English
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