Parametric

Tool, medium or new paradigm?

Aleksander Asanowicz1 1Bialystok University of Technology [email protected]

Parametric design is an emerging research issue in the design domain. However, discussions about the creative process in parametric design are limited. What is more, despite the passing of 57 years of parametric design's existence we still do not know what parametric design is. Is it a simple tool, which is useful in some kind of optimization of the architectural form, or it is a medium, which helps architects develop unexpected solutions, and perhaps this is already a new ? The presented paper will contain general considerations relating to the nature of parametric design, the history of which starts in 1960, when D.T. Ross has formulated the thesis that our main objective is to formulate constrains and all needed parameters of the solved problem.Please write your abstract here by clicking this paragraph.

Keywords: optimisation, parametric design, , design media

HISTORICAL BACKGROUND OF THE PARA- “...we now declaim that our main objective is not to METRIC DESIGN solve problems, but to state problems”,which meant As a result, the development of a design methodol- to formulate constrains and all needed parameters of ogy, caused by the increasing complexity of both the the solved problem. (Ross and Mann 1960) The first object and the design process, as the main principle computer program conducted under the Computer- of improvement of architectural design approach has Aided Design Project was written by Ivan Sutherland focused on the objectivization and rationalization of in 1963 in the course of his PhD thesis at MIT. the design process. The main principle was defined In the following years research has focused on the as follows: “When we know exactly what is and also problems of how computers can aid the facility lay- exactly what ought to be we are able to establish out process and the ’s interaction with mul- a direct efficiency relation. By appropriate compar- tiple design databases. The classical layout programs isons of what is and what ought to be, efficiencies, are: block diagramming software - CRAFT (minimizes both ideal and practical, can be established.” (Emer- nonadjacent cost and used when quantitative data is son 1964, p. 23)The first attempt of applying some- available) and relationship diagramming - CORELAP thing like parametric design was undertaken in 1960, (based on location preference between areas and when D.T. Ross in Computer-Aided Design: a state- used when quantitative data is not available). (Lee ment of objectives, has formulated the thesis that 1967).CRAFT: Computerized relative allocation of fa-

PARAMETRIC AND - Volume 2 - eCAADe 35 | 379 cilities’ technique (Buffa, Armour and Vollmann 1964) rating, the order of entry of departments in the lay- was one of the most popular computer based lay- out, the numerical closeness value and distance be- out procedures. Algorithms elaborated by Buffa et. tween the departments are also shown. CORELAP ac- all, based on the heuristic approaches, were used to cepts relationships between as many as 40 depart- place factory spaces in a way which would reduce ments. (Lee and Moore 1967) The new version of the the total material transportation cost. The cost was a CORELAP algorithm can be obtained from Tompkins parameter defined by a function of the distance be- et al (2003) where a new interactive version of the tween work centers, the frequency of movement of software is presented. The user interface in this im- material between the centers, and the cost involved plementation of CORELAP is the spreadsheet and the in each move. The algorithm starts with an initial user inputs data through Microsoft Forms.In 1980, layout and proceeds to improve it by interchanging the author has in his diploma work used the routine, spaces in pairs to achieve its goal. The combinational a modification of CORELAP, developed by Maria Os- problem lengthens the solution process as the num- trowska in 1977. The diploma subject was a Primary ber of work centers increases. If designing layout for School. As the first step the functional program was 20 work centers, exchanging two work centers simul- defined and it was decided that the school should taneously, would require 190 evaluations. Exchang- consist of 9 areas: A - Library, B - Classes 1-4, C - Math- ing three work centers simultaneously increases the ematics and Environment, D - Humanities, E - Tech- number of evaluations to 1140, and if we would like nical Lab (DIY), F - Art, G - Sport, H - Recreation, I to change 20 centers it would need n! - 20! evalu- - Administration. In each area, different functional ations. With this amount of points, making changes blocks were placed, and as a result a matrix of 40 x 40 manually is practically impossible. elements was obtained. Connections between the The time requirement for a computer is trivial for an elements were evaluated on the basis of a 4-point evaluation of these possibilities. This technique per- scale: 1 - direct connection, 2 - strong connection, 3- mits a considerably larger number of evaluations in medium connection, 4 - weak connection. a short time. It does not give the optimal layout; These values were the design parameters. Due to but the results are good and near optimal, which hardware limitations, this large matrix was simpli- can be later corrected to suit the need of the layout fied to a symmetrical matrix of 9 x 9 elements, which planner.CORELAP: Computerized Relationship Lay- meant that firstly the location of the 9 school ar- out Planning is the oldest Layout Planning routine eas was calculated - the computer produced a graph and was developed by Lee and Moore. CORELAP which graphically represented the links between generates a layout on the basis of the total closeness main functional elements. The same procedure was rating (TCR) for each department and begin with two then repeated for areas A, B, C, H and I. As a result major inputs: a relationship chart and require- a comprehensive scheme of functional links was cre- ments. The starting point is creation of the Muther’s ated. On the basis of the schemes the building plan grid table which displays designer’s preferences for was created manually. To get many variants of the relative (pair-wise) department locations. Muther has plan, values of the chosen parameters were changed, proposed a six points scale: A - absolutely necessary, and matrix was calculated again. (see Figure 1) Prac- especially important, I - important, O - OK, U - unim- tice has shown little usefulness of these methods, es- portant, X - undesirable. To obtain a layout, the user pecially if the laboriousness of preparing data at the is required to input the following: number of depart- initial preparatory stages is taken into account. It was ments, relationships weights, relationships cut-offs, not possible to apply subjective parameters, which partial adjacency value, and relationship. Then the led to oversimplification of the plan. These programs computer generates the layout. The total closeness were characterized by a primitive input and output as

380 | eCAADe 35 - PARAMETRIC AND GENERATIVE DESIGN - Volume 2 Figure 1 Primary School (modification of CORELAP)

they worked on the principle of batch processing. the program is based on the algorithm developed by The old programs were very user unfriendly. De- the Bozer, Meller and Erlenbacher. It extends a well- spite the difficulties caused by the imperfection of known facility layout algorithm (CRAFT) to facilities computer hardware (time consuming batch process- with multiple floors. It also enhances CRAFT by con- ing) and simple software, the relational method was trolling department shapes by allowing flexible de- helpful in designing the building plan.It should be partmental area requirements. (Bozer, Meller and Er- noted that with the development of computer tech- lebacher 1994)BLOCPLAN is an interactive program nology, these programs have become one of the developed by Donaghey and Pire. Quantitive and basic tools for industrial facility planners. This has qualitative data can be used as input. It can develop profound effects on organizational productivity and a single story or multi-story layout. As the BLOCPLAN profitability. Optimal layouts reduce materials han- generates an initial layout and makes enhancements dling costs, help streamline all operations in a facil- of this layout, it can be explained as both a construc- ity, and reduce energy costs. With large amounts tion and an improvement method. The user may op- of money being spent on new facilities each year, tionally choose the random construction and auto- it is natural that industrial facility planners, design- matic search. (Donaghey and Pire 1991)Micro CRAFT ers, and architects long for a superior Facility Lay- (MCRAFT) is an extended version of CRAFT, presented out Optimization software. On the market, we may by Hosni, Whitehouse and Atkins. MCRAFT divides find many professional computer programs for Lay- the plant area into bands and assign these bands out Planning.One of the interesting layout optimiza- to one or more facilities. Moreover, MCRAFT elim- tion tool is VIP-PLANOPT (formerly known as Layopt). inates the pair-wise exchange limitations. By using This software is an improvement algorithm for devel- MCRAFT, all pairs can be tried with the pair-wise ex- oping alternative and efficient block layouts from an change method, which makes a large contribution initial block layout provided by the user. In the ab- to finding an optimum solution. (Hosni, Whitehouse sence of an initial layout, one may be also randomly and Atkins 1980) generated by the program. The algorithm used in

PARAMETRIC AND GENERATIVE DESIGN - Volume 2 - eCAADe 35 | 381 PARAMETRIC DESIGN AS AN “OPTIMIZA- decisions, which have the most significant cost im- TION TOOL” pacts, are made at the concept stage of a project.The All computer programs discussed above are a kind serious disadvantage is that parametric methods are of an optimization tool, the goal of which is design- mostly used at the stage of detailing of the project ing a cost-effective product in minimum time. In or- when the designer may update the CAD model only der to achieve this goal, the requirements of opti- after receiving an optimum design from optimization mum are becoming more important. Para- tools. Consequently, in traditional Computer Aided metric design modelling platforms and scripting en- Design the main consuming factor is the design op- vironments allows for rapid generation of 3D models timization cycle. and enable multilevel evaluation of parametrically- driven design alternatives. The key to understand- PARAMETRIC DESIGN AS A DESIGN ing what is parametric , is the word “pa- MEDIUM rameter”. Design is based on carefully described pa- In 1994 Ranulph Glanville has asked: “What is the dif- rameters, which are used by computer programs for ference between a tool (or toolkit) and a medium?” generating original, unusual and difficult to describe and then answered: “The difference is that the tool spatial forms with mathematical precision, optimiz- does what we want, amplifying, in some sense, our ing them mostly in terms of environmental or func- natural abilities. It applicable within the field of its tional conditions.Parametric design is treated as an intention. The medium, on the other hand, ”bites “optimization tool”.In architectural design, different back“. It suggests other uses, may not quite work as parameters were used to “optimise” the architectural we want (...) with a medium, the side-effects may be- form. Each parametric design starts with a paramet- come more important than the original intentions.” ric variation, which can be employed for the differen- (Glanville 1994, p.11)In this chapter, we will discuss tiation of a field, layer or subsystem. The most com- parametric design as a design medium which is im- mon are the parameters associated with the struc- measurable in potency and in its ability to help our ture of the building, energy efficiency, sun exposure, thinking - and thus can take a role as a partner in en- location, acoustics or aerodynamics.This is fully un- hancing our creativity.The second thesis is that the derstandable because, for example, in the design of serendipity is an early, especially turning point of the high-rise buildings the cost of “architecture” is only very process of evolution. Serendipity is the effect 40% of the total cost, MEP (mechanical, electrical, and by which one accidentally discovers something for- plumbing) - 25%, structure - 30% and elevator sys- tunate, especially while looking for something else tem is 5%. (Nicknam and Elnimeiri 2011)In the cur- entirely. As Lawrence Block said: “Serendipity. Look rent design practice, issues described above are typ- for something, find something else, and realize that ically left to be dealt with after the architectural form what you’ve found is more suited to your needs than is well articulated. This approach is time consuming what you thought you were looking for.” (Parker and when the architect proposes multiple options. The Talbott 2008)Traditional CAAD systems limit design- solution is a full integration of optimization tools with ers‘ creativity by constraining them to work with pro- the CAD system, where all drawings can be automat- totypes provided by the system’s knowledge base. ically updated after achieving the optimum and sat- The design is creative if it cannot be composed from isfying all imposed constraints. The advantage of this the prototypes in the system’s knowledge base. A way of working is a shortening of the optimization cy- CAAD system supports creative design if it allows the cle time and radical reduction design time. Another designer to define novel prototypes to cover these advantage of this approach is also the ability to re- ideas. It is creative if it discovers new prototypes duce investment costs, as the most important design by itself. If we analyse the process and results of

382 | eCAADe 35 - PARAMETRIC AND GENERATIVE DESIGN - Volume 2 Figure 2 Parametric design Workshop at BUT - Painting by sound, A. Krzywinska and A. Bentkowska

the implementation of parametric methods, we can lutions. The goal is to change creative boundaries conclude that most of the obtained forms totally dif- of contemporary design tools.In many publications fer from ’ expectations. (see Figure 2) A on architectural parametric design we may read the subjective/emotional factor has a great effect on the statement that Architecture is simply the collection decision-making process in designing. Intuition, un- of principles and operational requirements that are predictability and no logic are the essence of creativ- being applied in order to solve design problem. This ity. In design, often an inappropriate use of tools leads to the conclusion that architectural design is an gives better results than the proper. This way of work- objective based activity whose primary purpose is to ing with media may surprise and stimulate the de- define what is required to provide a solution. If ar- signer, offering him or her unforeseen shapes and so- chitecture is an objective-based activity, then what

PARAMETRIC AND GENERATIVE DESIGN - Volume 2 - eCAADe 35 | 383 Figure 3 Parametric design Workshop at BUT - Marching Cubes - jewellery, M. Cychol and M. Bernecki

place do emotions and subjective meanings take in stand parametric design. In parametric design, diver- this activity?We need the theories and methods for gent thinking generates a variety of solutions with innovation and creation. If we treat parametric de- the parameters as the “potential answer” to a ques- sign as a medium, we should formulate new param- tion, while convergent thinking identifies the most eters for aesthetic design on the appropriate solution as the “right answer” to a ques- . These parameters usually result from subjec- tion with rules. (Lee 2014, p. 266)An interesting ap- tive assumptions. (see Figure 3) To connect para- proach, in which the subjectively selected parame- metric design and creativity, Lee proposed to adopt ters and the optimization process were connected, the concepts of divergent and convergent thinking, was undertaken at the Faculty of Architecture, Bi- two critical factors in the creativity model, to under- alystok University of Technology. The goal was to

384 | eCAADe 35 - PARAMETRIC AND GENERATIVE DESIGN - Volume 2 Figure 4 Mobile structure for dividing the space of an auditorium, M. Cychol, M. Bernecki and E. Marcinowska

create space elements which may be used as a mo- then draw curves which defined multi-curved vol- bile partition for dividing the space of an audito- ume. In the next step, in the Grasshopper, this vol- rium. The auditorium is a multifunctional space for ume was divided onto vertical and horizontal parts. lectures, consultation, meetings, and exhibitions. Or- Then the algorithm for creation of frame joints was ganisation of such different activities simultaneously created. As a result, it was possible to generate the needs mobile dividing partitions, while until now a optimum contours of the ribs and prepare informa- large black box was used. Students wanted to make tion for CNC machine. The next stage of optimization the space more attractive by introducing a new ele- was performed after determining the thickness of the ment. An additional function of this element should particle board plate. After design, the elements were be a space for leaving information (“a mailbox”) and cut and assembled without the need to use any tools. a bench for sitting. Because these elements should (see Figure 4) contrast with the boxes, it was decided to use curved lines. The first step was to model the black boxes and

PARAMETRIC AND GENERATIVE DESIGN - Volume 2 - eCAADe 35 | 385 CONCLUSION - IS PARAMETRIC DESIGN A Buffa, ES, Armour, GC and Vollmann, TE 1964, ’Allocat- NEW DESIGN PARADIGM? ing facilities with CRAFT’, Harvard Business Review, 42, No. 2, pp. 136-158 The Oxford English Dictionary defines the basic Coons, SA and Mann, RW 1960, ’Computer-Aided Design meaning of the term paradigm as “a typical exam- Related to the Design Process’, Techni- ple or pattern of something; a pattern or model”. The cal Memorandum Electronic Systems Laboratory, De- historian of science Thomas Kuhn in his book The partment of Electrical Engineering MIT, 8436-TM-5, Structure of Scientific Revolutions has defined a sci- pp. 1-29 entific paradigm as: “universally recognized scientific Donaghey, CE and Pire, VF 1991, BLOCPLAN-90, User’s Manual, Industrial Engineering Department, Univer- achievements that, for a time, provide model prob- sity of Houston lems and solutions for a community of practitioners” Emerson, H 1911, ’Philosophy of efficiency’, The Engi- (Khun 1996, p.10). On this basis, we may assume that neering Magazine, 41(Reprinted in classics in Indus- this is the replacement of one methodology over an- trial Engineering, Prairie Publishing Co., Delphi, Ind. other on the basis of a consensus of the majority. 1964), pp. 23-26 However, in the case of architectural design it seems Hosni, YA, Whitehouse, GE and Atkins, TS 1980, MICRO- CRAFT Program documentation, Institute of Indus- to be a premature statement. It is difficult to ac- trial Engineers cept the idea of a “majority consensus” in the case of Jabi, Wassim 2013, Parametric Design for Architecture, replacing traditional computer-aided design meth- Laurence King, London ods by parametric design. Opinions about the ar- Kuhn, TS 1996, The Structure of Scientific Revolutions, Uni- chitectural revolution caused by parametric methods versity of Chicago Press, Chicago are exaggerated. The history of architecture shows Lee, Ju-Hyun, Gu, Ning and Williams, AP 2014, ’Paramet- ric design strategies for the generation of creative that designs have always been created in relation to designs’, International Journal of Architectural Com- changing factors - climate, technology, usage, envi- puting, 12(3), pp. 263-282 ronment, culture, and even the character of the build- Lee, R and Moore, J 1967, ’CORELAP – computerized Re- ing, in other words: they have always been designed lationship Layout Planning’, The Journal of Industrial parametrically. As was shown in Chapter 1, para- Engineering, 18(3), p. 195–200 metric architecture was the subject of architectural Nicknam, M and Elnimeiri, MM 2011 ’A design optimiza- tion workflow for tall buildings using parametric Al- considerations in the 1960s - a few decades before goritm’, CTBUH Conference, Seul, pp. 561-569 the digital revolution.Nowadays, parametric design Parker, M and Talbott, D 2008, Silver Linings: Meditations is one of many . If we analyse the on Finding Joy and Beauty in Unexpected Places, Red prevalence of the use of this method, we can note Wheel/Weiser that it is only used in a small number of prestigious Ross, DT 1960, ’Computer-Aided Design: a statement design offices and innovative schools of architecture. of objectives’, Technical Memorandum Electronic Sys- tems Laboratory, Department of Electrical Engineer- We can only hope that this method will be applied ing MIT, 8436-TM-4, pp. 1-26 more widely in the future.The research was carried Sheng-Fen, Chien and Yee-Tai, Yeh 2012 ’On Creativity out in the framework of statutory work S/WA/1/2016 and Parametric Design: A preliminary study of de- and financed by the Ministry of Science and Higher signer’s behaviour when employing parametric de- Education sign tools’, Proceedings of the 30th eCAADe Volume 1, Prague, pp. 245-253 Tompkins, J, White, J, Bozer, Y, Frazelle, E, Tanchoco, J and REFERENCES Trevino, J 2003, Facilities Planning, John Wiley & Sons Bozer, YA, Meller, RD and Erlebacher, SJ 1994, ’An Inc. Improvement-Type Layout Algorithm for Single and Multiple-Floor Facilities’, Management Science, 40(7), pp. 918-932

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