WS_2009-2010 studio project prof. Daniel Dendra student Victoria Bradbrook
equilibrium >
at the edge of chaos
life long dream
WS_2009-2010 studio project prof. Daniel Dendra student Victoria Bradbrook
proximity > individuality >tension
state housing plans results are unsuccessful.residents return to the slum to enjoy the social networks that had not factored in the design of modern housing...
flocking organizative rulesemergent behaviour applications in architecture
WS_2009-2010 studio project prof. Daniel Dendra student Victoria Bradbrook
> autonomous agents
who are
> part of a collective inteligence
organizing
> in a syncronized systemwith no previous order
flocking in birds, fish SOCIAL SYSTEMBOIDS SIMULATION
birds do not follow a coreography, but coreograph themselves
URBAN SIMULATION
self organized group behaviourBOIDS
autonomous agents simulating flocking in birds and fishlinked components in constant data exchange
SOCIAL SYSTEM
BOIDS SIMULATION
> complex adaptativebehaviourto the site
self organized group behaviourBOIDS
by attractors
> by obstacles
> by borders
> alignment
> cohesion
> separationenclosing environment
existing structure
att0> 90 att1> 60 att2>50 att3>80 att4 >90
range of reaction
if dist>3 and
WS_2009-2010 studio project prof. Daniel Dendra student Victoria Bradbrook
urban simulation
emergent behaviourrules & translations to architecture allowing spatial arrangements to emerge from the responsive interaction between agents (architectural components) and the environment
complex adaptative behaviour to the site
> self organized group behaviourBOIDS
by attractors
> by obstacles
> by borders
> alignment
> cohesion
> separationenclosing environment
existing structure
att0> 90 att1> 60 att2>50 att3>80 att4 >90
range of reaction
if dist>3 and
WS_2009-2010 studio project prof. Daniel Dendra student Victoria Bradbrook
urban simulationrules & translations to architecture
> self organized group behaviourBOIDS
> alignment
> cohesion
> separation
range of reaction
if dist>3 and distances between groups>diferentiation (a/b/c/d) > grouping factor / typologies
a
b
c
ab
c
d
>hourly shadows > solar incidence as allignment parameter
>
25 Separation range200 Separation range
>>distances agents/units>microdistances ( minimized walk door to door distance)
>
>
>
>
WS_2009-2010 studio project prof. Daniel Dendra student Victoria Bradbrook
urban simulationrules & translations to architecture
> self organized group behaviourBOIDS
> alignment
> cohesion
> separation
range of reaction
if dist>3 and distances between groups>diferentiation (a/b/c/d) > grouping factor / typologies
a
b
c
ab
c
d
>hourly shadows > solar incidence as allignment parameter
>
25 Separation range200 Separation range
>>distances agents/units>microdistances ( minimized walk door to door distance)
>
>
>
>
WS_2009-2010 studio project prof. Daniel Dendra student Victoria Bradbrook
urban simulationiteration process complex adaptative behaviour to the siteself organized group behaviour BOIDS +
+
(simulation based on flocking by Daniel Shiffman+Craig Reynold's Boids program to simulate the flocking behavior of birds + TOOL for circulation analysis by tudor cosmatu -based on the work of dimitrie stefanescu +kai tak emergence 0324 by Zhiping Liu)
(Spreepark Berlin)
WS_2009-2010 studio project prof. Daniel Dendra student Victoria Bradbrook
urban simulationiteration process complex adaptative behaviour to the siteself organized group behaviour BOIDS +
+
(simulation based on flocking by Daniel Shiffman+Craig Reynold's Boids program to simulate the flocking behavior of birds + TOOL for circulation analysis by tudor cosmatu -based on the work of dimitrie stefanescu +kai tak emergence 0324 by Zhiping Liu)
(Spreepark Berlin)
WS_2009-2010 studio project prof. Daniel Dendra student Victoria Bradbrook
urban simulationiteration process
WS_2009-2010 studio project prof. Daniel Dendra student Victoria Bradbrook
urban simulationiteration process
WS_2009-2010 studio project prof. Daniel Dendra student Victoria Bradbrook
urban simulationiteration process complex adaptative behaviour to the site
self organized group behaviour BOIDS
separation alignement cohesion sepRATE
1 2 3
4 5
6 7
8 9 10
40 30 20 30 50/8>d>1 40 30 20 30 50/4>d>1
40 30 20 30 50/4>d>0.3 40 30 20 30 50/8>d>1
40 30 20 30 50/2>d>1 40 30 20 30
50/2>d>1
att* 3/ att** 13 50/2>d>1 40 30 20 30 att* 5/ att** 15
40 30 20 30
50/4>d>0.3 40 30 20 30 att* 5/ att** 15
50/4>d>0.3 att* 3/ att** 13
1
2
3
4
5
6
7
8
9
10 40 30 20 30 50/4>d>0.3 att* 1/ att** 11
d = distance of incidence
att* att** = addition of attracctors
att* att**
WS_2009-2010 studio project prof. Daniel Dendra student Victoria Bradbrook
urban simulationiteration process complex adaptative behaviour to the site
self organized group behaviour BOIDS
separation alignement cohesion sepRATE
11 12 13
14 15 16
17
80 30 20 60 50/4>d>0.3
att 90/att*60/att**50/att***80/att****90/att^30/att^^80 50/4>d>0.3 80 30 20 60att 90/att*60/att**50/att***80/att****90/att^30/att^^80
100 30 20 60
50/4>d>0.3 80 30 20 60att 90/att*90/att**50/att***80/att****90/att^30/att^^80
50/4>d>0.3att 90/att*60/att**50/att***80/att****90/att^30/att^^80
12
13
14
15 40 30 20 30 50/4>d>0.3att 90/att*60/att**50/att***80/att****90/att^30/att^^8
d = distance: radius of incidenceatt* att** = addition of attracctors
11
16
17
100 30 20 80 50/4>d>0.3att 90/att*60/att**50/att***80/att****90/att^30/att^^8
150 30 20 100 50/4>d>0.3att 90/att*60/att**50/att***80/att****90/att^70/att^^8
att att*att**att***att****att^att^^
WS_2009-2010 studio project prof. Daniel Dendra student Victoria Bradbrook
urban simulationiteration process complex adaptative behaviour to the site
self organized group behaviour BOIDS
separation alignement cohesion sepRATE
11 12 13
14 15 16
17
80 30 20 60 50/4>d>0.3
att 90/att*60/att**50/att***80/att****90/att^30/att^^80 50/4>d>0.3 80 30 20 60att 90/att*60/att**50/att***80/att****90/att^30/att^^80
100 30 20 60
50/4>d>0.3 80 30 20 60att 90/att*90/att**50/att***80/att****90/att^30/att^^80
50/4>d>0.3att 90/att*60/att**50/att***80/att****90/att^30/att^^80
12
13
14
15 40 30 20 30 50/4>d>0.3att 90/att*60/att**50/att***80/att****90/att^30/att^^8
d = distance: radius of incidenceatt* att** = addition of attracctors
11
16
17
100 30 20 80 50/4>d>0.3att 90/att*60/att**50/att***80/att****90/att^30/att^^8
150 30 20 100 50/4>d>0.3att 90/att*60/att**50/att***80/att****90/att^70/att^^8
att att*att**att***att****att^att^^
sunpath from14 to 15:30 - Dec 21
WS_2009-2010 studio project prof. Daniel Dendra student Victoria Bradbrook
urban simulationshadowing analysis height study according to shadowing
44 unitsnortheast alignement
north alignement
west alignement
142 units east alignement
Even heights (1 oor, 3meters)
sunpath from 9 to 10:30 - Dec 21
height reacomodation according to northeast and east alignment density
sunpath from14 to 15:30 - Dec 21
WS_2009-2010 studio project prof. Daniel Dendra student Victoria Bradbrook
urban simulationshadowing analysis height study according to shadowing
44 unitsnortheast alignement
north alignement
west alignement
142 units east alignement
Even heights (1 oor, 3meters)
sunpath from 9 to 10:30 - Dec 21
height reacomodation according to northeast and east alignment density
WS_2009-2010 studio project prof. Daniel Dendra student Victoria Bradbrook
shadowing analysis height study according to shadowingurban simulation
Uneven heights (3,7,9 mts)
west alignement (3 mts)
northeast alignement (3 mts)
east alignement (3 mts)
north alignement (3 mts)
west alignement (3 mts)
northeast alignement (9 mts)
north alignement (3 mts)
east alignement 7 mts)
sunpath from 9 to 15:30 21 Dec 21 (uneven heights)
WS_2009-2010 studio project prof. Daniel Dendra student Victoria Bradbrook
shadowing analysis height study according to shadowingurban simulation
Uneven heights (3,7,9 mts)
west alignement (3 mts)
northeast alignement (3 mts)
east alignement (3 mts)
north alignement (3 mts)
west alignement (3 mts)
northeast alignement (9 mts)
north alignement (3 mts)
east alignement 7 mts)
sunpath from 9 to 15:30 21 Dec 21 (uneven heights)
WS_2009-2010 studio project prof. Daniel Dendra student Victoria Bradbrook
shadowing analysis height study according to shadowingurban simulation