equilibrium exploration through flocking simulation

WS_2009-2010

life long dream

studio project

prof. Daniel Dendra

equilibrium > at the edge of chaos

student Victoria Bradbrook

WS_2009-2010

studio project

prof. Daniel Dendra

student Victoria Bradbrook

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...�

tension

proximity > individuality >

flocking organizative rules emergent behaviour applications in architecture

WS_2009-2010

emergent behaviour

studio project

prof. Daniel Dendra

student Victoria Bradbrook

flocking in birds, fish SOCIAL SYSTEM BOIDS SIMULATION

> autonomous agents who are

> part of a collective inteligence organizing

SOCIAL SYSTEM

“birds do not follow a coreography, but coreograph themselves”

> in a syncronized system with no previous order URBAN SIMULATION

self organized < group behaviour BOIDS

BOIDS SIMULATION

autonomous agents simulating flocking in birds and fish linked components in constant data exchange

BOID = bird + android

> complex adaptative behaviour to the site

spreepark berlin

WS_2009-2010

studio project

emergent behaviour

prof. Daniel Dendra

rules & translations to architecture

urban simulation

student Victoria Bradbrook

allowing spatial arrangements to emerge from the responsive interaction between agents (architectural components) and the environment

> self organized group behaviour

< complex adaptative behaviour to the site rules for site interaction

BOIDS

rules for group

> by borders

interaction

> separation

enclosing environment

desired minimum distance

> by obstacles

range of reaction

existing structure

¨if dist>3 and <10, steer¨

> cohesion

center of gravity according to mass value

> by attractors existing structure

> alignment

mantain average heading

range of attraction to objects

att0> 90

att1> 60

att2>50

att3>80

att4 >90

WS_2009-2010

urban simulation

studio project

prof. Daniel Dendra

rules & translations to architecture

> separation

student Victoria Bradbrook

> self organized group behaviour BOIDS

25 Separation range

200 Separation range

desired minimum distance

>

range of reaction

> >distances agents/units >microdistances ( minimized walk door to door distance)

¨if dist>3 and <10, steer¨

b

a

> cohesion

center of gravity according to mass value

>

b

c

c a

d

>

>distances between groups >diferentiation (a/b/c/d) > grouping factor / typologies

> alignment

mantain average heading

>

> >hourly shadows > solar incidence as allignment parameter

WS_2009-2010

urban simulation

studio project

prof. Daniel Dendra

iteration process

self organized group behaviour BOIDS

student Victoria Bradbrook

+ complex adaptative behaviour to the site +

(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

urban simulation

studio project

prof. Daniel Dendra

iteration process

student Victoria Bradbrook

WS_2009-2010

urban simulation

studio project

prof. Daniel Dendra

iteration process

student Victoria Bradbrook

complex adaptative behaviour to the site self organized group behaviour BOIDS

separation

1

2

4

6

3

5

att* att**

7

1

40

2

40

3

40

4

40

5

40

6

40

7

40

8

40

9

40

10 40

alignement

cohesion sepRATE

30 20 50/2>d>1 30 20 50/4>d>1 30 20 50/8>d>1 30 20 50/8>d>1 30 20 50/4>d>0.3 30 20 50/2>d>1 att* 5/ att** 15 30 20 50/4>d>0.3 att* 5/ att** 15 30 20 50/2>d>1 att* 3/ att** 13 30 20 50/4>d>0.3 att* 3/ att** 13 30 20 50/4>d>0.3 att* 1/ att** 11

d = distance of incidence

8

9

10

att* att** = addition of attracctors

30 30 30 30 30 30 30 30 30 30

WS_2009-2010

studio project

urban simulation

prof. Daniel Dendra

iteration process

student Victoria Bradbrook

complex adaptative behaviour to the site self organized group behaviour BOIDS

separation

11 80 11

12

13

alignement

cohesion sepRATE

30 20 50/4>d>0.3

60

30 20 50/4>d>0.3

60

att 90/att*90/att**50/att***80/att****90/att^30/att^^80

12 80

att 90/att*60/att**50/att***80/att****90/att^30/att^^80

13 80

30 20 50/4>d>0.3

60

att 90/att*60/att**50/att***80/att****90/att^30/att^^80

14 100

30 20 50/4>d>0.3

60

att 90/att*60/att**50/att***80/att****90/att^30/att^^80

14

15

16

15 40

30 20 50/4>d>0.3

30

30 20 50/4>d>0.3

80

30 20 50/4>d>0.3

100

att 90/att*60/att**50/att***80/att****90/att^30/att^^8

16 100 att att* att** att*** att**** att^ att^^

att 90/att*60/att**50/att***80/att****90/att^30/att^^8

17 150

att 90/att*60/att**50/att***80/att****90/att^70/att^^8

17

d = distance: radius of incidence att* att** = addition of attracctors

WS_2009-2010

urban simulation

studio project

prof. Daniel Dendra

shadowing analysis

student Victoria Bradbrook

height study according to shadowing

Even heights (1 floor, 3meters) sunpath from 9 to 10:30 - Dec 21

north alignement

44 units northeast alignement

142 units east alignement

height reacomodation according to northeast and east alignment density

west alignement

sunpath from14 to 15:30 - Dec 21

WS_2009-2010

urban simulation

studio project

prof. Daniel Dendra

shadowing analysis

student Victoria Bradbrook

height study according to shadowing

Uneven heights (3,7,9 mts) north alignement (3 mts)

north alignement (3 mts)

northeast alignement (3 mts)

northeast alignement (9 mts)

east alignement (3 mts)

east alignement 7 mts)

west alignement (3 mts)

west alignement (3 mts)

sunpath from 9 to 15:30 21 Dec 21 (uneven heights)

WS_2009-2010

urban simulation

studio project

prof. Daniel Dendra

shadowing analysis

height study according to shadowing

student Victoria Bradbrook