GENERATIVE DESIGNA NEW PHASE IN DESIGN

INTRODUCTION

Generative Design, in particular, an algorithmic approach, is an efficient, rigorous, controllable, and flexible tool that allows, with reduced time and effort, the production of several different models to explore design variations addressing different types of change

It is a design method in which the output – image, sound, architectural models, animation – is generated by a set of rules or an Algorithm, normally by using a computer program.

WHY USE ALGORITHM ???

Algorithmic code is good for creating very complex geometries with small amounts of data. It works very well with the way nature constructs using cellular components. The fractal (or self similar) nature that you see in trees and leaf veins and arteries is due to this. But the code here is embedded in the cell itself and cells organize themselves to create complex forms based on of relatively simple code.

Typically, generative design has: A design schema A means of creating variations A means of selecting desirable outcomes

It deals with the creation of images by using codes. An image is no more created manually but through a visual idea which is translated into a set of rules and then implemented in a programming language in the form of source code. The consequence is that such a program can not only create a single image but also completely re-design visual worlds by changing the parameters.

ADVANTAGES

Produce unique designs and achieve variation of the same design.

In the traditional use of CAD tools, when changes are needed, it requires too much time and effort to modify models & just one solution is represented and the exploration of different solutions requires manual changes to the model. But in GD, algorithms are translated in a programming language and defined parametrically, they automatically embrace change CHANGE IN SHAPE OF

WINDOW

Algorithmic approach lays in the possibility of fast and effortless generation of a wide range of solutions, exploring different design approaches.

The process logic rules however must be maintained up to dated and ready for use. This provides the process planner with an assurance that the processes generated will reflect state-of-the-art technology.

CHANGE IN SHAPE OF THE BUILDING

AFTER INTRODUCING SEVERAL CHANGES

DISADVANTAGES

It lacks a clear theoretical framework in generative design. if manual changes are made to the generated model, these

changes will be lost when the program is re executed and the model regenerated.

it requires an obvious initial investment

SERPENTINE GALLERY PAVILLION, 2002CASE STUDY 1

Facts and figures Structural Engineer : Arup Advanced Geometry

Location : London

Project Objective : Create a temporary pavilion for visitors for a short period of 2-3 months exploration.

Architects : Toyo Ito, Cecil Balmond

INTRODUCTION The Serpentine Gallery Pavilion 2002 appeared to be an

extremely complex random pattern that proved to derive from an algorithm of a cube that expanded as it rotated. The numerous triangles and trapezoids formed by this system of intersecting lines were clad to be either transparent or translucent, giving a sense of infinitely repeated motion.

OPENINGS

CLADDING

GENERATION BY ALGORITHM The idea was that of a flat roof composed exclusively of

random cross lines and supported only by the line of the exterior  walls, in all forming an absolute box.

EXPLANATIONThe algorithm used in the building involves the rotation and scaling of squares in a central axis. Each square is smaller and embedded in the previous one but rotated. By extending the lines of the squares, a dense field of lines is created with numerous trapezoids and triangles. Then, these are folded over one box. The lines are materialised by choosing the size of the steel and the algorithm defines the specific areas to be panelised.

Thereafter, the pattern is adapted for larger openings like entrance.

THE NATIONAL SWIMMING CENTRE , CHINACASE STUDY 2:

INTRODUCTION The National Swimming Centre, known

as Water Cube, is the product of a competition entry by PTW Architects, China State Construction and Engineering Corporation (CSCEC), from Beijing, and ARUP .

Generative Design was integrated in the design process as well as the various benefits it provided, both in terms of time and cost compared to a traditional approach to modeling

The first challenge of the project was to decide the form of the structure and the look of the cladding the “Weaire-Phelan foam”, that derives from the structure of water bubbles in the state of aggregation found in foam. the “Weaire-Phelan foam”, that derives from the structure of water bubbles in the state of aggregation found in foam.

WEAIRE-PHELAN FOAM:

DESIGN PROCESS

FORM PRISM SHAPE WAS ACHIEVED WITH

RANDOM APPEARENCE

REPETION OF FORM

CREATED A BASIC SHAPE OF BOX WITH SAME EXTERNAL SIZE

OF THE STADIUM

SLICED BY 2 HORIZONTAL PLANES AND ONE 4 VERTICAL PLANE TO OBTAIN THE

FORM

THE MAJOR INTERNAL

VOLUMES WERE REMOVED

MODEL CONVERTED TO

WIRE FRAME

GEOMETRY OF STRUCTURED

DEFINED

SCHEMATIC ILLUSTRATION OF THE GEOMETRY FORMATION

This structure contains more than 22000 steel beams and 12000 nodes which weigh tons which would then present a challenge for its optimization

Analyzing the structure and make the necessary changes, as many times as needed, would be an extremely accurate process as well as very time consuming. To overcome these issues, ARUP developed a script to automatically select the member sizes through an optimization process. The optimization code was written using a genetic algorithm and the alternative solutions were evaluated in Strand7 Software.

THE STRUCTURE OF THE WATER CUBE UNDER CONSTRUCTION

The algorithm iteratively checked the entire structure by allowing the team to test different design configurations and receive feedback within 25 minutes.

Thus, it allowed the creation of a complex structure that could be structurally optimized and which, compared with traditional approaches to modeling.

CONCLUSION Generative Design is an example of a well-established

research area that can provide new ways of thinking generative design is a better option for future prospects because it enables us to think more creatively while autocad restricts our thoughts to some extend. All designs are prone to change because designers do not just build their first idea. GD supports change but it also requires an initial investment. Thus, it is important to balance this investment with the benefits we extract from it.

SHEENA CHERIAN

Generative design though still in its infancy , is fast being adopted by designers and architects due to its potential of creating designs with the fast upcoming technology. It possess the power of generative design tool that can guide down on an exploring path.

Even if it has a lack of clear theoretical framework in the generative design ,it provides a chance for new ideas and possibilities to explore.

Nishita

Generative design is the creation of complex structures through the use of simple algorithms. It focuses more on ideas and visual thoughts rather than keeping engineering in mind.

Although provides a great range for exploration and design evolution, it lacks the understanding of clear theoretical framework. Also, the evolution of design solely through algorithms can be challenging too.

Generative design in short is far ahead of its time.

Riya

As we have discusse above that generative design is a method in which the output- image , sound,architectural models, animations is generated by a set of rules but still it is very difficult to ubderstand and we are unable to judge the framework

As we all know everything has both positive and negative side so its positive side is that we can built complex forms through this software.

Palak