Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/109969
Title: | Clustering and optimization of nodes, beams and panels for cost-effective fabrication of free-form surfaces | Authors: | Bi, M Liu, Y Xu, T He, Y Ma, J Zhuang, Z Xie, YM |
Issue Date: | 15-May-2024 | Source: | Engineering structures, 15 May 2024, v. 307, 117912 | Abstract: | Free-form surfaces are increasingly used in contemporary architectural designs for their unique and elegant shapes. However, fabricating these doubly curved surfaces using panel and frame systems presents challenges due to the shape variability of nodes, beams and panels. In this study, we propose a mesh-based computational design framework that clusters and optimizes these components together, reducing the shape variety of elements for free-form surfaces. Our method employs a vertex-based similarity metric to partition panels into user-defined groups and clusters beams based on edge lengths. A box-constrained optimization is introduced to achieve congruent faces and matching beam lengths while considering various functional constraints. Additionally, connection holes on node surfaces are clustered and optimized to allow their use at multiple locations. The practicality of our approach is demonstrated through the design and construction of a full-scale pavilion, resulting in a significant reduction in the shape variety of building elements. | Keywords: | Clustering Free-form surface Mesh Optimization Space frame structure |
Publisher: | Elsevier Ltd | Journal: | Engineering structures | ISSN: | 0141-0296 | EISSN: | 1873-7323 | DOI: | 10.1016/j.engstruct.2024.117912 | Rights: | © 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). The following publication Bi, M., Liu, Y., Xu, T., He, Y., Ma, J., Zhuang, Z., & Xie, Y. M. (2024). Clustering and optimization of nodes, beams and panels for cost-effective fabrication of free-form surfaces. Engineering Structures, 307, 117912 is available at https://doi.org/10.1016/j.engstruct.2024.117912. |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
1-s2.0-S0141029624004747-main.pdf | 11.87 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.