Abstract:This paper presents a multipurpose chair grammar and its implementation in the design tool ChairDNA. This tool is oriented for the exploration of design alternatives in the early concept phase of the chair design process. This work addresses two shortcomings within the research area of shape grammars (SGs), namely, the lack of implementation of SGs applied to design domains, and the lack of practical applications in real-life design scenarios. To address these problems, a methodology is proposed for the implem… Show more
“…This GDS was devised from a corpus of 26 iconic modern chairs. 18 Figure 12 shows four of such designs, from left to right: Eero Saarinen’s Tulip, Mart Stam’s S33, Arne Jacobsen’s Ant, and Ernest Race’s Antelope chair. The figure illustrates the ability of the system to generate a wide variety of chair types, namely, one- to four-legged chairs, arm and armless chairs, rounded and squared seats and solid and splat back, among others.Figure 12.User-defined chairs inspired by existing designs (from left to right: Tulip, S33, Ant, and Antelope chairs).…”
Section: Discussionmentioning
confidence: 99%
“…Nevertheless, such unconventional designs turned out to be interesting for designers, who regard them as a starting point for new ideas. 18 Also note that, although there is no ambiguity in the system, results have proven to be vehicles of unpredictable emergent meanings, such as the ‘wheel’ in the leftmost design of Figure 13. Yet, more feasible randomly generated designs can be obtained by restricting the design space, as we will see later.Figure 13.Randomly generated chairs.…”
Section: Discussionmentioning
confidence: 99%
“…The second case study considers the ChairDNA design tool. 18 This GDS is based on a parametric set grammar with 162 parameters (both numerical and categorical). The generation is made by adding or deleting chair components (legs, seat, back, stretchers, base, and arms) and editing their dimensions and positions (e.g.…”
Generative design systems can generate a wide panoply of solutions, from which designers search for those that best suit their interests. However, without guidance, this search can be highly inefficient, and many interesting solutions may remain unexplored. This problem is mitigated with automated exploration methods. Still, the ones typically provided by generative design tools are mostly based on black-box methods that drastically reduce the role of the designer, while more straightforward white-box mechanisms are dispersedly found in specific applications. This paper proposes the Navigator tool, which gathers a set of white-box mechanisms that automate the generation of default, random, similar and hybrid designs and design subspaces, while also supporting the generation of design collections. The proposed mechanisms were tested with two generative systems that create, respectively, tower and chair designs. We expect that, by providing understandable mechanisms for navigating design spaces, designers can become more engaged in the search process.
“…This GDS was devised from a corpus of 26 iconic modern chairs. 18 Figure 12 shows four of such designs, from left to right: Eero Saarinen’s Tulip, Mart Stam’s S33, Arne Jacobsen’s Ant, and Ernest Race’s Antelope chair. The figure illustrates the ability of the system to generate a wide variety of chair types, namely, one- to four-legged chairs, arm and armless chairs, rounded and squared seats and solid and splat back, among others.Figure 12.User-defined chairs inspired by existing designs (from left to right: Tulip, S33, Ant, and Antelope chairs).…”
Section: Discussionmentioning
confidence: 99%
“…Nevertheless, such unconventional designs turned out to be interesting for designers, who regard them as a starting point for new ideas. 18 Also note that, although there is no ambiguity in the system, results have proven to be vehicles of unpredictable emergent meanings, such as the ‘wheel’ in the leftmost design of Figure 13. Yet, more feasible randomly generated designs can be obtained by restricting the design space, as we will see later.Figure 13.Randomly generated chairs.…”
Section: Discussionmentioning
confidence: 99%
“…The second case study considers the ChairDNA design tool. 18 This GDS is based on a parametric set grammar with 162 parameters (both numerical and categorical). The generation is made by adding or deleting chair components (legs, seat, back, stretchers, base, and arms) and editing their dimensions and positions (e.g.…”
Generative design systems can generate a wide panoply of solutions, from which designers search for those that best suit their interests. However, without guidance, this search can be highly inefficient, and many interesting solutions may remain unexplored. This problem is mitigated with automated exploration methods. Still, the ones typically provided by generative design tools are mostly based on black-box methods that drastically reduce the role of the designer, while more straightforward white-box mechanisms are dispersedly found in specific applications. This paper proposes the Navigator tool, which gathers a set of white-box mechanisms that automate the generation of default, random, similar and hybrid designs and design subspaces, while also supporting the generation of design collections. The proposed mechanisms were tested with two generative systems that create, respectively, tower and chair designs. We expect that, by providing understandable mechanisms for navigating design spaces, designers can become more engaged in the search process.
The caisson lotus pattern in the Mogao Grottoes is an important symbol of Dunhuang culture, but its innovative design is very scarce. Simple mechanical reproduction cannot satisfy its spread and development in modern aesthetics. In this study, by analyzing the caisson lotus patterns in the Tang dynasty, clarifies its types and characteristics, extracts the lotus pattern structure as the initial model, and uses shape grammar to evolve into new patterns that have both the original lotus pattern structure characteristics and modern aesthetics. Finally, the fuzzy comprehensive evaluation method is used to evaluate the new lotus pattern, which proves the feasibility and effectiveness of the method in this paper, and provides new design ideas for the inheritance and innovative design of traditional lotus pattern.
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