Difference between revisions of "W4"
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== '''''Brief''''' == | == '''''Brief''''' == | ||
− | + | PERFORMANCE & ENVIRONMENTAL DATA INTEGRATION provides essential tools for creating environmentally-conscious architectural design. Grasshopper plug-in Ladybug is used for evaluating objective environmental factors. Grasshopper parametric design is informed by these factors and optimized via the use of the Evolutionary solver Galapagos. | |
+ | |||
+ | Both tools are presented in detail, with practical examples and tutorials designed to support the decision-making process during the initial stages of design. | ||
+ | |||
== '''''Assigment''''' == | == '''''Assigment''''' == | ||
− | + | Design a structure for the Canopy + Ground seating area developed in the Tutorial | |
+ | Optimize your structure for a criterion of your choice | ||
+ | |||
+ | Possible scenarios include but are not limited to : | ||
+ | Structural optimization [MILLIPEDE, KARAMBA] | ||
+ | Material optimization [KANGAROO, MILLIPEDE] | ||
+ | Geometry optimization [GRASSHOPPER ] | ||
+ | Environmental optimization [LADYBUG HONEY BEE] | ||
Elaborate custom methodology for a computational design problem that incorporates: | Elaborate custom methodology for a computational design problem that incorporates: |
Revision as of 11:35, 2 October 2016
_NOTOC__
Brief
PERFORMANCE & ENVIRONMENTAL DATA INTEGRATION provides essential tools for creating environmentally-conscious architectural design. Grasshopper plug-in Ladybug is used for evaluating objective environmental factors. Grasshopper parametric design is informed by these factors and optimized via the use of the Evolutionary solver Galapagos.
Both tools are presented in detail, with practical examples and tutorials designed to support the decision-making process during the initial stages of design.
Assigment
Design a structure for the Canopy + Ground seating area developed in the Tutorial Optimize your structure for a criterion of your choice
Possible scenarios include but are not limited to : Structural optimization [MILLIPEDE, KARAMBA] Material optimization [KANGAROO, MILLIPEDE] Geometry optimization [GRASSHOPPER ] Environmental optimization [LADYBUG HONEY BEE]
Elaborate custom methodology for a computational design problem that incorporates:
Design objective: clearly define design objective in a short paragraph
Design strategy: outline series of geometric steps to be implemented in Gh, that will realize the design objective
Computational Flow Chart: establish logical relations between steps in a clear diagram
Implementation: to be delivered in the form of a standalone Gh script that has no additional plug-ins
MSc. 3
Elaborate custom methodology for a computational design problem that includes feed-back:
Design objective: clearly define design objective in a short paragraph Design strategy: outline series of geometric steps to be implemented in Gh, that will realize the design objective
Computational Flow Chart: establish logical relations between steps in a clear diagram
Implementation: to be delivered in the form of a standalone Gh script with relevant plug-ins able to create feed-back loops that address the main design objective
Upload all required information on your assignment page until 15th October.
Attractors Example
Design objective: Multi criterial dynamic mapping of complex surface
Design strategy: Define and use geometric constraints – attractors - to dynamically interact with Rhino/Gh defined geometry
Computational Flow Diagram:
Final Script: Attractors Gh script
Tutorials
Grasshopper: http://www.grasshopper3d.com
Grasshopper resources: http://www.grasshopper3d.com/page/tutorials-1
Getting Started by David Rutten: https://vimeopro.com/rhino/grasshopper-getting-started-by-david-rutten