Computational design in architecture: Defining parametric, generative, and algorithmic design

Caetano, Inês; Santos, Luís; Leitão, António

doi:10.1016/j.foar.2019.12.008

Cited by 235 publications

(168 citation statements)

References 32 publications

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“…In addition to those methods identified by Singh [20], techniques specifically appropriate to product design have also been used. The most significant is parametric modeling, which is used in most modern CAD [1,38]. Feature-based parametric modeling describes solid models symbolically in terms of a set of parameters and their relations such that changes in one parameter will update the whole model.…”

Section: Generative Representations and Methodsmentioning

confidence: 99%

“…At minimum, this means that algorithms will be used to generate designs rather than direct human input. Caetano et al [1] define GD simply as "a design approach that uses algorithms to generate designs". The exact nature and extent of this will be covered presently.…”

Section: Inclusion Criteriamentioning

confidence: 99%

“…It should also be noted that Caetano et al's [1] simple definition of GD does not specify the scope of the algorithmic contribution to any particular design. It might aim to address a certain component of an object or, in principle at least, to achieve total automation.…”

Section: Product Design and Developmentmentioning

confidence: 99%

“…However, despite its great utility, CAD only supports human design decisions; more recently, machines have begun to participate in the creative process itself. In Generative Design (GD) systems, designs are produced by algorithms [1][2][3]. This may be done automatically or interactively with a human designer, and it may only constitute part of an overall design, but the point is that actual design content is generated by a machine.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Progress and Challenges in Generative Product Design: A Review of Systems

Mountstephens

Teo

2020

Computers

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Design is a challenging task that is crucial to all product development. Advances in design computing may allow machines to move from a supporting role to generators of design content. Generative Design systems produce designs by algorithms and offer the potential for the exploration of vast design spaces, the fostering of creativity, the combination of objective and subjective requirements, and the revolutionary integration of conceptual and detailed design phases. The application of generative methods to the design of discrete, physical, engineered products has not yet been reviewed. This paper reviews the Generative Product Design systems developed since 1998 in order to identify significant approaches and trends. Systems are analyzed according to their primary goal, generative method, the design phase they focus on, whether the generation is automatic or interactive, the number of design options they generate, and the types of design requirements involved in the generation process. Progress using this approach is recognized, and a number of challenges that must be addressed in order to achieve widespread acceptance are identified. Possible solutions are offered, including innovative approaches in Human–Computer Interaction.

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Section: Generative Representations and Methodsmentioning

confidence: 99%

Section: Inclusion Criteriamentioning

confidence: 99%

Section: Product Design and Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Progress and Challenges in Generative Product Design: A Review of Systems

Mountstephens

Teo

2020

Computers

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“…Unlike traditional CAD (Computer Aided Design) tools, which use closed scripts provided by the software developer for the formal representation of a solution previously conceived, parametric design approaches are based on a network of relations between variables where different values can be applied, producing different solutions to achieve the objectives. The work developed by Caetano et al [ 67 ] carries out a significant review of recent advances as well as the terminology and definitions in regard to these kind of design strategies, and proposes his own definition of parametric design, which is understood as “an approach that describes a design symbolically based on the use of parameters”. In the context of the present work, it results of key importance the update of the solution generated when any parameter is modified, an aspect that parametric approaches allow and which in 1989 was included by Kalay [ 68 ] into the usual definition of parametric design.…”

Section: Initial Considerations and Main Synergies Of The Technolomentioning

confidence: 99%

Integration of Additive Manufacturing, Parametric Design, and Optimization of Parts Obtained by Fused Deposition Modeling (FDM). A Methodological Approach

2020

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The use of current computer tools in both manufacturing and design stages breaks with the traditional conception of productive process, including successive stages of projection, representation, and manufacturing. Designs can be programmed as problems to be solved by using computational tools based on complex algorithms to optimize and produce more effective solutions. Additive manufacturing technologies enhance these possibilities by providing great geometric freedom to the materialization phase. This work presents a design methodology for the optimization of parts produced by additive manufacturing and explores the synergies between additive manufacturing, parametric design, and optimization processes to guide their integration into the proposed methodology. By using Grasshopper, a visual programming application, a continuous data flow for parts optimization is defined. Parametric design tools support the structural optimization of the general geometry, the infill, and the shell structure to obtain lightweight designs. Thus, the final shapes are obtained as a result of the optimization process which starts from basic geometries, not from an initial design. The infill does not correspond to pre-established patterns, and its elements are sized in a non-uniform manner throughout the piece to respond to different local loads. Mass customization and Fused Deposition Modeling (FDM) systems represent contexts of special potential for this methodology.

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Not Being There: The Potential for Digital Architecture to Reach the Disadvantaged and the Disenfranchised

Potangaroa

2024

Architectural Design and Management in the Digital Age

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Computational design in architecture: Defining parametric, generative, and algorithmic design

Cited by 235 publications

References 32 publications

Progress and Challenges in Generative Product Design: A Review of Systems

Progress and Challenges in Generative Product Design: A Review of Systems

Integration of Additive Manufacturing, Parametric Design, and Optimization of Parts Obtained by Fused Deposition Modeling (FDM). A Methodological Approach

Not Being There: The Potential for Digital Architecture to Reach the Disadvantaged and the Disenfranchised

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