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Turning Tree Forks into Structures: An Experimental Analysis of a Minimally Processed Material within the Age of Standardization

M.ARCH Thesis

Student: Zac Chartrand
Advisor: Scott Shall
Content Experts: Eric Ward, Anirban Adhya

Since the Industrial Revolution, the building industry has dedicated enormous energy to developing processes that can take raw, idiosyncratic materials and produce highly controlled, specifiable products. This has served the building industry well for years. Material standardization allows for standardized structural details and procedures that can be easily followed by the common builder to produce structures that can be analyzed and designed based on the uniform properties of the building product. Unfortunately, this process rejects those materials that do not meet the uniformity required, regardless of their unique structural potential. 

Recent advancements in digital analysis allow for the ability to identify unique qualities within raw materials. Advancements in computational technology allow for the optimization of a structural design to accommodate for these idiosyncratic properties. The development of a platform, involving digital analysis and computational design, would make this method of design available to the common builder and architect. The development of a process, using common construction techniques, would allow the common builder to build structures using these idiosyncratic pieces. The development of this platform for design, and system of construction, would demonstrate that advancements in technology can initiate a movement towards more sustainable architecture by reducing the amount of processing necessary to use raw materials in a structural capacity. 

This will be studied by obtaining an inventory of tree forks and scanning them into a digital inventory. A script will then be developed that optimizes fork fitment to different assembly logics for shell structures. Next, a joinery system and system of construction will be developed that processes the forks based on data outputs from the script. Success will be measured in joint precision and structural rigidity.

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