DISCONTINUA AN INVESTIGATION IN FINESSE
Finesse is the negotiation between bottom-up localized interactions and top-down total design. Using Erwin Hauer’s Continua as a premise, this definition of finesse is tested through a componentry-based system. The 1:1 relationship that Hauer established within his aggregation were altered through mutation, detachment, and disruption not only to finesse the relationship between components but also to study the range of effects on the entire system.
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Erwin Hauer Continua
ANALYSIS An analysis of Erwin Hauer’s Continua was the foundation of the project. It was examined at the level of the unit and their aggregation.
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TECHNIQUES 3 main techniques were finessed within the system: VARIABLES internal variables (does not affect other components) lrelational variables (affects neighboring components) l
INTERNAL
RELATIONAL
technique: Grasshopper + VB script
SELF-SIMILARITY catalog of components through an additive process l components that exhibit a range from attached to detached l
ADDITIVE PROCESS FOR SELF-SIMILARITY
technique: mesh modelling
MUTATION seams had to be created in-between certain parts of the component in the translation from mesh to subdivision l
SEAMS IN-BETWEEN
technique: mesh + subdivision modelling
05
+4
+3
+2
+1
COMPONENTRY A taxonomy of all the possible configurations within a range of attached to detached parts. Self-similarity between components is achieved through an additive process.
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x1
x2
x3
x4
x1x(1)
x2x(1)
07
x3x(1)
x1x(2)
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x2x(2)
x1x(3
3)
x(1)
x(2)
x(3)
x(4)
09
3
1
2
1
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2
3
SUBDIVISION
HEIGHT VARIABLES
SCRIPTED MESH
THICKNESS VARIABLES DIAGRID TYPE A [attached]
TYPE B [detached]
AGGREGATION Self-similar components were arranged within the system to create desired effects. The tonal value of the image map (black = 0 and white =1) at a given point became the degree at which certain variables changed at that same point. This type of control allowed neighboring components to reference the same point.
IMAGE CONTROL
11
1
2
SUBDIVISION
1
SCRIPTED MESH
2
13
AUNITNOCSID