Playing with optimization concept used for Soumaya Museum's facade. - 6-dimensional k-means clustering - ~6000 triangular panels grouped in 15 families - equilibrium reached after 40-50 iterations - computation time ~8-12 minutes - native GH components + Anemone
LiuMing
What a great work!
Dec 22, 2013
shima roshanzamir
great work. may I ask if the panels in one group have exact same size or you defined a tolerance?
Dec 22, 2013
Mateusz Zwierzycki
Shima : Same size.
Dec 22, 2013
patric guenther
nice job! I have the same question as shima has. did you defined tolerances in your definition? I am also working on something very similar. would be very nice, and help me a lot, if you could share your definition with me? patricguenther@gmx.de
Dec 22, 2013
Caelum Praecelsus Arquitectura
Excellent!
I would be interested in learning more about the process. Is it a matter of defining domains and looping the algorithm until panels fall into a set predetermined domain tolerances?
Dec 23, 2013
taz
More Soumaya info:
http://www.grasshopper3d.com/group/kangaroo/forum/topics/isosurface...
Dec 23, 2013
Roland D. Sandoval
Actually, does anybody knows if the parametric design part of the Soumaya Museum facade was made by the same studio (FR-EE) or it involved any specialized computational design studio? Thnx!
Jan 15, 2014
Mateusz Zwierzycki
Dario - I saw Alexander Pena de Leon's lecture at 2013 eCAADe(Prague), in which he described this optimization method.
Jan 15, 2014
I_M_F [Iker Mugarra Flores]
Jan 15, 2014
Mike Pacheco
great work !!! I´m kind of new using anemone components, can u upload a tutorial for this ? it would be awesome .
Jan 15, 2014
Neil Meredith
Have a look here for more specifics on the hex panel optimization done for the museum.
http://issuu.com/gehrytech/docs/sou_06_issuu_version
Mar 3, 2014
Hendrik
Hi,
great work!
iam trying very similar and iam wondering what do you mean with 6-dimensional k-means clustering? In my version i compare every attribute from each panel to another. This is i think 1-dimensional k-means clustering, or not?
Hendrik
Oct 24, 2016