Re_Flex Patterning

Integrating digital media with material world reveals emergent performances. Parametric modeling techniques encourage designers to study more one the envelopes of potentials instead of singular artifacts. Working with these envelopes reveal a design cycle that entails determination of relations and within this relational framework, dynamics keep design process active and variable. In the serie of workshops titled “Infections”, static and regular patterns of built environment are considered as “host bodies”. Their contextual potentials are revealed and digital technologies start the becoming of these bodies within the concept of infection. In second workshop titled “Re_Flex Patterning”, an atrium is considered as the host body. It will be studied beyond its gridal order, generating re-flex patterns as the initial step on the revealing of it’s potentials. Throughout the workshop, Grasshopper will be used as a tool of parametric modeling and digital deformation techniques, while physical form-finding will be studied on a composite material.

Re_Flex Patterning workshop is conducted at İzzet Baysal University Faculty of Engineering and Architecture between 6-8th May, 2013 by Tuğrul Yazar and Fulya Akipek, from İstanbul Bilgi University Faculty of Architecture.

Revisiting Infections v1 @ YTU: Lesion

This is another final project of the three-day workshop at YTU, named Gridal Infection. Conceptual framework is developed by Bahar Aybudak (METU) and Zeynep Gür (ITU). The cellular forms come together to set the existing wall (host body). The wall represents the body structure, in which in case of any infection, various challenges could be seen in parallel with the immune system. The struggle with the mentioned infection is observed through various transformation in these cells. The location in which these transformations occur is not static but changes according to the infected area (lesion) of the body. Depending on the surrounding movements, some parts are becoming infected and lesions occur. Eventually infections are pushed away from the cells in lesion and a time-based recovery process starts. However, the host body isn’t the same anymore.

Above ideas of the students are realized by implementing a history based truncation process on a regular grid (see figures below). The truncation is associated with movement vectors of Firefly. As it is a time-based algorithm, there are parameters such as “recovery” and “immune system”.
For Grasshopper definition, you search ay designcoding.net



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