Computational Design Synthesis of Aircraft Configurations with Shape Grammars

Oberhauser, Matthias; Sartorius, Sky; Gmeiner, Thomas; Shea, Kristina

doi:10.1007/978-3-319-14956-1_2

Cited by 14 publications

(7 citation statements)

References 14 publications

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“…In more recent years a number of authors have proposed using machine learning techniques to assist human designers. In general these are for domain specific applications, such as for architectural space frame structures (Hanna 2007), structurally valid furniture (Umetani et al 2012) or aircraft designs (Oberhauser et al 2015). In these systems machine learning is typically used to learn about specific properties of the system.…”

Section: Evolutionary Methods and Machine Learningmentioning

confidence: 99%

On Hybrid Creativity

Lomas

2018

Arts

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This article reviews the development of the author's computational art practice, where the computer is used both as a device that provides the medium for generation of art ('computer as art') as well as acting actively as an assistant in the process of creating art ('computer as artist's assistant'), helping explore the space of possibilities afforded by generative systems. Drawing analogies with Kasparov's Advanced Chess and the deliberate development of unstable aircraft using fly-by-wire technology, the article argues for a collaborative relationship with the computer that can free the artist to more fearlessly engage with the challenges of working with emergent systems that exhibit complex unpredictable behavior. The article also describes 'Species Explorer', the system the author has created in response to these challenges to assist exploration of the possibilities afforded by parametrically driven generative systems. This system provides a framework to allow the user to use a number of different techniques to explore new parameter combinations, including genetic algorithms, and machine learning methods. As the system learns the artist's preferences the relationship with the computer can be considered to change from one of assistance to collaboration.

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Section: Evolutionary Methods and Machine Learningmentioning

confidence: 99%

On Hybrid Creativity

Lomas

2018

Arts

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“…A number of authors have proposed using machine learning techniques to assist human designers. In general these are for domain specific applications, such as for architectural space frame structures (Hanna, 2007), structurally valid furniture (Umetani et al 2012) or aircraft designs (Oberhauser et al 2015). In these systems, machine learning is typically used to learn about specific properties of the system.…”

Section: Creative Exploration Of Parameter Spacementioning

confidence: 99%

Morphogenetic Vase Forms

Lomas¹

2019

The 2019 Conference on Artificial Life

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This paper describes Vase Forms: a series of art works created using morphogenetic processes. A key motivation for these works was exploration of ways of working creatively with complex generative processes, such as morphogenetic systems, where the desire is to be able to influence the process in creative directions whilst achieving desired properties, such as fabricability using 3D printing, in a manner that retains rich emergence. The paper describes methods used in the creation of these works, including directly affecting morphogenetic processes using constraints and differential growth rates, combined with evolutionary search and machine learning algorithms to explore the space of possibilities afforded by the system. As well as describing the creation of Vase Forms, which have been successfully used to create sculptures, the paper looks at the closely related Mutant Vase Forms: an additional series of artworks created by accident when the system exploited bugs in the rules for the growth system resulting in unexpected but aesthetically interesting structures. These Mutant Vase Forms are not fabricable as physical sculptures with the originally intended methods, but now exist as virtual sculptures in stereoscopic installations.

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“…Shape grammars can be used to transform shapes of 2D and 3D in a systematical and stylistic manner to support innovative product design. Generative design is a new paradigm in design in which the exploration of a new design is seen as a series of transformations from an early initial data to a large number of possibilities of not necessarily optimum designs but ones with qualities that meet the design requirements in the best possible way (Oberhauser et al, 2014). With a 3D shape grammar-based system, the style and identity of the designers can be built into the shape grammars.…”

Section: Research On Shape Grammars and Generative Designmentioning

confidence: 99%

Towards generative systems for supporting product design

Cui

Tang

2017

IJDE

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Various advanced computational, cognitive and innovative approaches have been developed in the last three decades to advance the fields of artificial intelligence and knowledge-based design systems. This paper reviews the development of generative design systems in the literature and of those developed by the author. It presents a framework of a generative design system with several real design examples. Finally, the paper examines the future direction for the advancement of generative design. A generative design system supports the generation and exploration of a large number of alternative design solutions, using automatic transformation algorithms of AI nature. It maintains a consistent style of all the explored solutions, but with design features and variables. It can also include an evaluation mechanism in the generative process for the system to search for the potentially optimum design solutions.

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Computational Design Synthesis of Aircraft Configurations with Shape Grammars

Cited by 14 publications

References 14 publications

On Hybrid Creativity

On Hybrid Creativity

Morphogenetic Vase Forms

Towards generative systems for supporting product design

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