Computation and Optimization of Structural Leaf Venation Patterns for Digital Fabrication
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Date
Authors
Gökmen, Sabri
Journal Title
Journal ISSN
Volume Title
Publisher
ELSEVIER SCI LTDTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
Open Access Color
Green Open Access
Yes
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Publicly Funded
No
Abstract
The morphogenetic design process of networking patterns produces anisotropic structural systems that can offer generative solutions for custom design applications. As an example of this type of pattern application, the leaf venation algorithm is introduced that can be customized through parametric inputs and density maps. This method is extended onto mesh surfaces incorporating multiple software applications combining aspects of parametric design, optimization and digital fabrication. The dynamic workflow is presented using a case study project titled “Calyx,” a public artwork completed using the computational tools developed as part of the research. The networking structural pattern of the sculpture yielded to the development of a geometry optimization process that allowed the digital fabrication of planarized structural members. The technical aspects of the design development and post-rationalization process for the construction of leaf venations patterns are discussed.
Description
Sabri Gokmen. 2022. Computation and Optimization of Structural Leaf Venation Patterns for Digital Fabrication. Comput. Aided Des. 144, C (Mar 2022). https://doi.org/10.1016/j.cad.2021.103150
Keywords
Morphogenesis, Post-rationalization, Venation, Digital fabrication, Optimization, Optimization, Venation, Digital fabrication, Morphogenesis, Post-rationalization
Fields of Science
0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Q2
Scopus Q
Q1

OpenCitations Citation Count
2
Source
Computer-Aided Design
Volume
144
Issue
C
Start Page
103150
End Page
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Citations
CrossRef : 2
Scopus : 3
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Mendeley Readers : 18
SCOPUS™ Citations
3
checked on Mar 14, 2026
Web of Science™ Citations
2
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Page Views
10
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Downloads
43
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