Advanced Algorithmic Strategies // Cell Urban ism

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Advanced ALgorithmic Strategies IaaC, 04/03/2020 Tutors / Alessio Erioli, Andrea Graziano

MAA Master in Advanced Architecture

Cell Urbanism Aditya Chim Chaitanya


cell Urbanism The project takes on loops or iterative logic as a base mechanism in defining architecture. Using basic cell units to speculate digital spaces in taking into account the increased degree of autonomy generated by each new added loop. We define 2 basic components, using their heuristic structure to make selected choices to initiate the formation of aggregates through connectivity of magnetic handles. And each handle is connected with a continuous path based on our selected geometry and desirable spaces. Post processing is defined through adding screen, canopy and ramp. The ramp is then able to provide vertical connection between cells. In growing our components in the context of an urban environment, elevated at the roof heights, these topological aggregates is then interconnected with existing urban fabric thereby establishing urban connectivity. By further defining point A and B, we then able to identify the shortest walk between 2 points. The shortest walk mapping is then able to inform the value of each connected junction and thereby making sensual experiences out of this identify spaces.


Set-01

Set-02

Component01

Component02

Set-03

Component01

Component02

Iteration: 200

Iteration: 200

Components: 72

Components: 40

Iteration: 1000

Iteration: 1000

Components: 169

Components: 137

Component01

Component02

Iteration: 100 Components: 50

Iteration: 500 Components: 150

Walk it out! / Aditya, Chim, Chaitanya


Components Sender / Receiver (3) Sender / Receiver (2)

Sender / Receiver (3) Sender / Receiver (2)

Sender / Receiver (1)

Sender / Receiver (4)

Sender / Receiver (1) Sender / Receiver (4)

component01

component02

Walk it out! / Aditya, Chim, Chaitanya


Heuristic s

Component(1,1) 1(0,0 )

1(0,1 )

1(0,2 )

1(0,3) 1(2,1)

1(1,0) 1(3,1)

1(1,1 )

1(1,2 ) 1(2,1 )

1(2,1 ) 1(1,3 ) 1(2,0 )

1(3,3)

2(3,1)

2(3,2)

Component(1,2) 2(1,0)

2(0,2)

2(1,1)

Component(2,1)

2(1,2)

2(2,1)

2(2,2)

Component(2,2)

3(1,0)

3(2,0)

3(1,1)

3(2,1)

3(1,2)

3(2,2)

3(1,3)

3(2,3)

4(0,0)

4(1,0)

4(2,0)

4(3,0)

4(0,1)

4(1,2)

4(2,1)

4(3,1)

4(0,2)

4(1,3)

4(2,2)

4(3,3)

4(2,3)

4(3,2)

4(0,3)

Walk it out! / Aditya, Chim, Chaitanya


Experimental Environments

Geometry 1

Geometry 2

Geometry 3

Walk it out! / Aditya, Chim, Chaitanya


Component Heuristics1,1 : 1,2 2,1 2,2

Iteration: 50

Iteration: 200

Iteration: 500

Components: 42

Components: 101

Components: 181

Walk it out! / Aditya, Chim, Chaitanya

C1 - 10 Component Weights: C2 - 08


Component Heuristics1,1 : 1,2 2,1 2,2

Iteration: 2000

Iteration: 4000

Components: 330

Components: 493

Walk it out! / Aditya, Chim, Chaitanya

C1 - 10 Component Weights: C2 - 08


Shortest Walk Analysis

Shortest Walk: 1

Shortest Walk: 2

Shortest Walk: 3

Shortest Walk: 4

Shortest Walk: 5

Shortest Walk: 6

Walk it out! / Aditya, Chim, Chaitanya


Component Heuristics1,1 : 1,2 2,1 2,2

Iteration: 50

Iteration: 200

Iteration: 500

Components: 36

Components: 114

Components: 178

C1 - 10 Component Weights: C2 - 08


Component Heuristics1,1 : 1,2 2,1 2,2

Iteration: 1000

Iteration: 2000

Components: 287

Components: 434

C1 - 10 Component Weights: C2 - 08


Shortest Walk Analysis

Shortest Walk: 1

Shortest Walk: 2

Shortest Walk: 3

Shortest Walk: 4

Shortest Walk: 5

Shortest Walk: 6


Component Heuristics1,1 : 1,2 2,1 2,2

Iteration: 50

Iteration: 200

Iteration: 500

Components: 34

Components: 96

Components: 162

C1 - 10 Component Weights: C2 - 08


Component Heuristics1,1 : 1,2 2,1 2,2

Iteration: 1000

Iteration: 2000

Components: 246

Components: 330

C1 - 10 Component Weights: C2 - 08


Additional Geometries

Roof

Staircase

Facade element

Facade element

component01

component02 Walk it out! / Aditya, Chim, Chaitanya


Urban Tissue

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Environment

Containment Obstacles

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Planar View

Elevation

Iteration: 2000 Components: 356

Component Heuristics :1,1 1,2 2,1 2,2 Component Weights: C1 - 10 C2 - 08 Isometric View


Planar View

Elevation

Iteration: 4000 Components: 493

Component Heuristics :1,1 1,2 2,1 2,2 Component Weights: C1 - 10 C2 - 08 Isometric View


Shortest Walk: 1

Shortest Walk: 2

Shortest Walk: 3

Walk it out! / Aditya, Chim, Chaitanya


Shortest Walk: 4

Shortest Walk: 5

Shortest Walk: 6

Walk it out! / Aditya, Chim, Chaitanya


Shortest Walk: 7

Shortest Walk: 8

Shortest Walk: 9

Walk it out! / Aditya, Chim, Chaitanya


Shortest Walk: 10

Shortest Walk: 11

Shortest Walk: 12

Walk it out! / Aditya, Chim, Chaitanya


Shortest Walk: 13

Shortest Walk: 14

Shortest Walk: 15

Walk it out! / Aditya, Chim, Chaitanya


Walk it out! / Aditya, Chim, Chaitanya


Walk it out! / Aditya, Chim, Chaitanya


Walk it out! / Aditya, Chim, Chaitanya


Walk it out! / Aditya, Chim, Chaitanya


Credits

Cell Urbanism is a project of IAAC, Institute for Advanced Architecture of Catalonia developed in the Master in Advanced Architecture 2019/20 by Students: Aditya,Cim meng ,chaitanya kumar and Faculty: Alessio Erioli and Andrea Graziano


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