• ESPERIMENTI

      Voronoi Diagram Based on Radial Patterns and Physical ForcesArchitectural Body Ongoing Research Project : 2010
      Pattern Formation, Self-Organisation and Morphogenesis


      Patterns describe a particular state in the evolution of a system. Even though sometimes we might need advanced technology for visualizing and studying patterns, these are always there. Patterns, as seen by Andrea Sella (2010), are everywhere; they are just waiting to happen. Everything, any process, any material, any object, any system, any circumstance rationally or incidentally developed, conceived or formed by any means describe the evolution of pattern formation. The science of pattern formation deals with the visible orderly outcomes of self-organization and the common principles behind similar patterns and deals with the generation of complex organizations of cell outcome in space and time. The understanding of a shape, more precisely its morphology, almost always requires us to understand the process of its formation, namely its morphogenesis. Pattern formation often implies a selection mechanism, whose criteria must be determined. In other words, self-assembling refers to processes leading to equilibrium structures, while self-organization processes refers to far from equilibrium pattern formation [1].Self-organization is one of the most well known examples of pattern formation and overall it is a central process that unfolds the basis for morphogenesis. In an essay published in 1790, Johann Wolfgang von Goethe coined the word ‘morphology’. In that paper he proposed a bold unifying hypothesis, according to which most of the main plant forms had evolved from one archetypal plant (Urpflanze). Goethe foreshadowed the work of the founder of morphogenesis, D’Arcy Thompson [2]. Morphogenesis is defined as a biological process that deals with the development of a shape and controls the organized spatial distribution of cells during the embryonic process. It is one of the three fundamental aspects of developmental biology along with the control of cell growth and cellular differentiation [i].

      Our core aim with this ongoing research project is based on the control of self-organizing particles that by interlacing one another might differentiate in order to give rise to dynamic ornaments in the very first place. Certainly a pattern could be easily generated by computational means but if the self-spatial organization of the ornaments needs to be controlled, the formation and the algorithm generation of such systems becomes a difficult task to aim. One other feature of the systems explored in this project is the sequential formation between one to another system. The logics governing a system become complex organisations for several systems encoded in a single or individual computation

      1. Lesne A. and Bourgine P. (2011). ‘Morphogenesis: Origins of Patterns and Shapes’. Springer, Berlin pp. 1-6. 2. Idem, pp. 295.

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      Figure 1. This image showcases the evolutionary possibilities of one individual system to transform over time. Resultant ornaments are all part of the same individual system encoded through a series of logical mathematical and evolutionary data.


      Voronoi Diagram Based on Hexagonal Patterns and Physical ForcesArchitectural Body Ongoing Research Project : 2010
      Pattern Formation, Self-Organisation and Morphogenesis


      With the advent of computing in architectural design a series of problems have emerged. One particular issue is to envelope a non-standard shape building out of one single tessellation, which keeps same-size components. One another issue is to control the differentiation of a desired pattern based on one single tessellation. These kind of experiments become significant not only for the aesthetical requirements but rather due to material, fabrication and assembling techniques.

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      Figure 2 and 3. These images demonstrate one voronoi diagram out of hexagonal patterns. The resultant image is aimed due to environmental forces shaped by particular circumstances that might help to envelope non only a static supporting pattern but also a dynamic entity capable of recognizing the different forces in which the system might be placed. [Digital Sequence]


      Confrontational Spiral TessellationsArchitectural Body Ongoing Research Project : 2010
      Algorithmic Computational Design


      Pattern Formation, Self-Organisation and MorphogenesisWhen one speaks about patterns the formation most commonly used is determined by the UV values. This latter mainly generate linear patterns in any direction. However in order to aim circular and moreover spiral patterns the logics encoding the system change and become difficult to define if the algorithmic piece has to be dynamic and might metamorph in different systems. The image below might resemble some forms found in nature. However the algorithmic purpouse is not to mimic natural form but to encode the logics that govern multiple system and to be able to enclose them into one individual core force.

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      Figure 4 and 5. Fractal Circular Tessellations: the image demonstrates the possibilty of the algorithmic system to adopt spiral tessellations. The individual system is capable of adopting and morphing into different patterns. The logics describing the system might either preserved a similar size tessellation or might fade out into a completely different organization [Digital Sequence].


      Algorithmic Computational DesignArchitectural Body Ongoing Research Project : 2010
      Pattern Formation, Self-Organisation and Morphogenesis


      When one speaks about patterns the formation most commonly used is determined by the UV values. This latter mainly generate linear patterns in any direction. However in order to aim circular and moreover spiral patterns the logics encoding the system change and become difficult to define if the algorithmic piece has to be dynamic and might metamorph in different systems. The image below might resemble some forms found in nature. However the algorithmic purpouse is not to mimic natural form but to encode the logics that govern multiple system and to be able to enclose them into one individual core force.

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      Figure 6 and 7. These images shows the possibilty of the algorithmic system to adopt spiral tessellations. The individual system is capable of adopting and morphing into different patterns. The logics describing the system might either preserved a similar size tessellation or might fade out into a completely different organization [Digital Sequence].


      From Cairo Tessellation to three Point Meeting PanelsArchitectural Body Ongoing Research Project : 2010
      Pattern Formation, Self-Organisation and Morphogenesis


      When one speaks about patterns the formation most commonly used is determined by the UV values. This latter mainly generate linear patterns in any direction. However in order to aim circular and moreover spiral patterns the logics encoding the system change and become difficult to define if the algorithmic piece has to be dynamic and might metamorph in different systems. The image below might resemble some forms found in nature. However the algorithmic purpouse is not to mimic natural form but to encode the logics that govern multiple system and to be able to enclose them into one individual core force.

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      Figure 8. The above image shows the possibilty of the algorithmic system to adopt spiral tessellations. The individual system is capable of adopting and morphing into different patterns. The logics describing the system might either preserved a similar size tessellation or might fade out into a completely different organization [Physical Lasercut Model].


      From chaotic formations (patterns) to organized geometries (information)Architectural Body Ongoing Research Project : 2010
      Pattern Formation, Self-Organisation and Morphogenesis

      When one speaks about patterns the formation most commonly used is determined by the UV values. This latter mainly generate linear patterns in any direction. However in order to aim circular and moreover spiral patterns the logics encoding the system change and become difficult to define if the algorithmic piece has to be dynamic and might metamorph in different systems. The image below might resemble some forms found in nature. However the algorithmic purpouse is not to mimic natural form but to encode the logics that govern multiple system and to be able to enclose them into one individual core force.

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      Figure 9. The image below shows the possibilty of the algorithmic system to adopt spiral tessellations. The individual system is capable of adopting and morphing into different patterns. The logics describing the system might either preserve a similar size tessellation or might fade out into a completely different organization.

      Full 4D-sequence:

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