Volume 3: 38th Design Automation Conference, Parts a and B 2012
DOI: 10.1115/detc2012-71056
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Steps in Transforming Shapes Generated With Generative Design Into Simulation Models

Abstract: This paper introduces a platform that combines shape grammars with conventional simulation and analysis methods. The premise of this combination is to create an approach to synthesizing optimal shapes considering criteria requiring heat transfer and stress analysis for their evaluation. The necessary mechanisms and issues for integrating shape grammars with standard simulation systems are described. The benefits, challenges and future outlook of this approach with regards to traditional design synthesis system… Show more

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Cited by 2 publications
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“…1 for some common engineering systems represented as graphs). There is a wide range of architecture design representations typically classified along the spectrum of continuum [9,10] versus discrete [11,12] design domains and homogeneous [9,10] versus heterogeneous [11,13] elements. The value of these methods often is to present new valid topologies to engineers for further evaluation (subjective or quantitative), helping to overcome design fixation.…”
Section: Introductionmentioning
confidence: 99%
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“…1 for some common engineering systems represented as graphs). There is a wide range of architecture design representations typically classified along the spectrum of continuum [9,10] versus discrete [11,12] design domains and homogeneous [9,10] versus heterogeneous [11,13] elements. The value of these methods often is to present new valid topologies to engineers for further evaluation (subjective or quantitative), helping to overcome design fixation.…”
Section: Introductionmentioning
confidence: 99%
“…The value of these methods often is to present new valid topologies to engineers for further evaluation (subjective or quantitative), helping to overcome design fixation. A popular class of methods for generating architecture candidates is generative representations [5,9,[12][13][14][15][16][17]. This class covers a range of candidate architectures in an implicit form based on repeated application of rules that modify the graph.…”
Section: Introductionmentioning
confidence: 99%
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