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Funicular Shell Design: Geometric approaches to form finding and fabrication of discrete funicular structures

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Abstract

Addressing both architects and engineers, this dissertation presents a new framework for the form finding and design of fabrication geometry of discrete, funicular structures in the early design phase. Motivated by ongoing debates about digital architecture and funicular shell form finding, it introduces a new methodology for structurally-informed design of curved surface architecture through the use of geometrical rather than analytical or numerical representations of the relation between form, forces and fabrication. Based on Thrust Network Analysis (TNA), new algorithms are presented that enable an interactive exploration of novel funicular shapes, enriching the known formal vocabulary of shell architecture. Using TNA, the framework adopts the same advantages of techniques like graphic statics, providing an intuitive and educational approach to structural design that ranges from simple explorations to geometry-based optimisation techniques. Complementary to this structurally-informed design process, the work reflects on the latest building technologies while also revisiting historic construction techniques for stereotomic stone masonry and prefabricated concrete shells to develop efficient fabrication design strategies for discrete funicular structures. Based on architectural, structural and fabrication requirements, several tessellation approaches for given thrust surfaces are developed for the design of informed discretisation layouts of any funicular shape. The flexibility and feasibility of the form-finding framework is demonstrated in several case studies employing the new structural design tool RhinoVAULT, which implements the developed form-finding methods. The use of fabrication design strategies is discussed in a comprehensive case study that shows project-specific tessellation design variations and first fabrication results for a complex stone masonry shell.
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... Regarding continuum optimization, well-known algorithms include the SIMP, 1 density-based method (Bendsøe and Kikuchi 1988;Rozvany et al. 1995;Sigmund 2001;Andreassen et al. 2011), and the level-set method (Allaire et al. 2002;Wang et al. 2003;van Dijk et al. 2013), among others. For the particular case of shell structures, various contributions and proposals for optimization algorithms for aesthetically appealing surfaces are available in literature (Block 2009;Rippmann 2016;Adriaenssens et al. 2014), and in the even more specific context of slabs (Ma et al. 2023), to name a few. As for discrete optimization, the first "true" optimal layout optimization work was carried out by Michell (1904) using an infinitely dense network of truss (axial-only) elements, which paved the way for further research such as Dorn et al. (1964), Sokól (2011), Sokół (2014), Zegard and Paulino (2014). ...
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