2018 Digital Balancing

digital balancing dominika demlova

Digital Balancing

1 Project Aim

2 Design Concept

3 Script

4 Production

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5 Comparison

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1 PROJECT AIM In today's architecture it is fundamental to

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establish the relationship of the use of technology

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and people. It is the primary aim of this project to explore the idea of defining the role of technology and softwares availiable to an arcitect as a supporting role in the design process.

While the designer defines all the parameters,

the software is able to help to find final geometries.

However the fundamental role of the technology starts during the production process, where advanced tracking and scanning interagtive system based on a grasshopper script is able to optimalise the design throughout the process of production of architecture.

Fig. 1 Visual reference of Christian Kerez's design for tower in Zhengou China.

As such, the dialog between the designer and

technological system becomes a highly supportive feedback loop which guides the process towards the targeted geometry while appreciating and incorporating the 'human errors' created during the production.

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Fig 2. Target Geometry

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Fig. 3 Final Geometry

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2 DESIGN CONCEPT The concept for the design has been based on

fastened in space with a tensile member in such a

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connecting two grids with compresive elements

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way, that all the compresive elements would end at a parralel plane.

In this way the use of software gives the

designer the benefit of working within a margin or error, which should be ideally corrected by the feedback loop of optimasation of optimalisation.

Furthermore, the software is used to do

complex calculations to find the ideal locations of elements to achieve the targeted geometry.

Fig 4. First Iterations

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initial points

defining optimal point targets

placement of compresive element through VIVE guidance

fastening position of compresive element

bracing between points with 3d pen

planar connections with 3d pen

Fig 5. Feedback loop between design and production 10

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adjusting script optimalisation of next layer target points

guidance towards new layer target points

scanning points with VIVE tracker

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3 SCRIPT

Grasshopper script has been created to

design and test the ideal geometry based on the given parameter. In addition however, the incorporation of the VIVE tracker to input data through grasshopper to Rhinocerous, has

imagined. It makes the production possible and

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has created a bridge between the real and the

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enabled the guidance of the points. The interface

together with the human input defines the form.

It also safeguards the structural standards of the resultant structure.

The developement of the script has been

divided into phases that are in accord with the production.

1. initial geometry setup points 2. connection of elements 3. creation of new layer points 4. scanning of points with VIVE tracker 5. optimalisation through galapagos plugin

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scanned points

new layer geometry

vive tracker scanning

vive tracker guiding Fig 6. Full Script 14

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optimising with galapagos plugin

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Fig. 8 Trigger on Vive Tracker set to scan points position

Fig. 7 Scanning of new points through Vive tracker

Fig. 9 Scanned points used to optimalise and update the

Fig. 10 Redefition of points in

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grasshopper script

Fig 11. Actual scanned points of next layer with adjusted compresive elements

Fig. 12 Targeted points on next layer an ideal location of compresive elements 16

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Fig 13. Script adjustement

Fig. 14 New positioning of

to find the exact scanned

compresive elements

geometry Fig. 15 Optimasing new target points

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Fig. 16 Galapagos testing new points targets to keep parallel

Fig. 17 Guidance path which tracks discrepency of tracker and given point: top view

Fig. 18 Lenghts of compresive elements

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Fig. 20 Grasshopper grid setup

Fig. 19 Initial geometry setup through grasshopper parameters in rhinocerous viewport

Fig. 21 Definition of grid points

Fig. 22. Finding next optimalised

into organised set of points

point targets do the compresive element retains its lenght

Fig. 23 Further Galapagos optimalisation 18

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Fig. 24 Guiding from calibrated

Fig. 25 Guiding from calibrated

point to new layer target: Layer 1

point to new layer target from top view

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Fig. 26 Intergating VIVE Tracker into Grasshopper with the ability to save points in Rhinocerous

Fig. 28 Recorded points of layer 2, with visible discrepency and distortion of grid of layer 1

Fig. 27 Paths towards optimasied points in Rhinocerous viewport

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4 PRODUCTION

The production of the structure has been

human focused while the software acted as a supporting role to lead the design in the correct direction.

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Compresive elements of ABS plastic sticks

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and ABS plastic 3d pen filaments as the tensile elements have formed the entire structure, including the inner bracings and as a glue.

The model sits on a ABS plastic base. The

production required two people to collaborate and manage the running of the guidance and scanning of points to define correct locations.

Already within the ideal geometry there is a

calculated inherent margin of error as a response to the natural human quality of impreciseness.

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Fig. 29 Production of layer 1 22

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Fig. 30 Fastening first layer of compresive elements on base

Fig. 31 Vive Tracker Enabling scanning of points and guidance

Fig 32. Scanning of created points

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Fig. 33 Finding location of new target point and the angle of the compresive elements

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Step 2. Planar connections with 3d pen

Step 1. Positioning Compresive elements

Step 3. Diagonal connections between compresive elements

Finalized layer

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Fig. 34 Top layer points in one line.

Fig. 35 Top view to show distorted grid after adding a

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Fig. 36 Production of layer 2

Fig. 38 Use of 3d pen

Fig. 37 Layer 2 with diagonal connecctions

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Fig. 39 Finalised model

Fig. 40 View 1 30

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Fig. 41 View 2

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Fig. 42 View 3 32

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Fig. 43 View 4

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Fig. 44 View 5 34

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5 COMPARISON

Because of the human error involved, the

targeted geometry is re-adjusted throughout the production process.

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the final output and initial calculated geometry.

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Therefore, an inherent discrepency exists between

The otimalisation parameter in this case

has been positioning new layer target points in such a way that a a planar furface would emerge.

However, an error has been accumulated through the process, which the optimalisation with the given layer number could not mitigate.

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SEiso iso SE SE iso o SE SE iso iso SESE isoiso

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Fig. 45 Axonometric views

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NENE iso iso front

back back front front

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toptop

top top

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back back bottom bottom

back NW iso top front

NE iso right bottom om right bottom back ck bottom SE iso

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right topNW iso SW iso bottom

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Fig. 46 Front, Right, Left, Top view

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left left right right

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pnt

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front front

Fig. 47 Ideal target geometry

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Fig. 48 Scanned Geometry

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