Fractal-Based Generative Design of Structural Trusses Using Iterated Function System
العنوان: | Fractal-Based Generative Design of Structural Trusses Using Iterated Function System |
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المؤلفون: | Mario Sassone, Iasef Md Rian |
المصدر: | International Journal of Space Structures. 29:181-203 |
بيانات النشر: | SAGE Publications, 2014. |
سنة النشر: | 2014 |
مصطلحات موضوعية: | Truss, Building and Construction, Conservation, Topology, Box counting, Iterated function system, Collage theorem, Fractal, Hausdorff dimension, Architecture, Contraction mapping, Generative Design, Civil and Structural Engineering, Mathematics |
الوصف: | The purpose of this study is to apply the notion of fractal geometry in designing structural roof trusses. Fractal geometry, commonly characterized by the features of recursive self-similarity, is considered as a rule-based geometric system that can be generated by using the process of the Iterated Function System (IFS). Lattice configurations of conventional trusses generally show some extend of ‘self-similarity’ features that loosely and sometimes closely resemble with the properties of fractal shapes. The typical configurations of these regular trusses are strategically designed to provide adequate strength and stability to the structures for carrying enough vertical and wind loads. This paper, using the Iterated Function System based on Barnsely's contraction mapping as a generative design method, proposes a new family of truss designs that follow the concept of fractal geometry. The Hausdorff dimensions and the Box Counting dimensions are evaluated to measure the fractality and detailness of the lattices of proposed fractal-based trusses. It also briefly investigates their mechanical properties for analyzing their practical feasibility in construction. |
تدمد: | 2059-8033 0956-0599 |
DOI: | 10.1260/0266-3511.29.4.181 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::dec2e2d8aa37aba82619b58e79356d11 https://doi.org/10.1260/0266-3511.29.4.181 |
Rights: | CLOSED |
رقم الانضمام: | edsair.doi...........dec2e2d8aa37aba82619b58e79356d11 |
قاعدة البيانات: | OpenAIRE |
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