Generative design in structural engineering

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dc.contributor.authorKicinger, Rafal P.
dc.contributor.authorArciszewski, Tomasz
dc.contributor.authorDe Jong, Kenneth A.
dc.date.accessioned2006-03-14T19:04:27Z
dc.date.available2006-03-14T19:04:27Z
dc.date.issued2005-07
dc.description.abstractThis paper proposes a new approach to representing structural system inspired by various models of complex systems. Several types of generative representations of steel structural systems are provided and empirically investigated. These representations utilize various kinds of cellular automata to generate design concepts of steel structures in tall buildings. In the paper, a brief overview of the state-of-the-art in cellular automata and generative design is presented. Next, several types of generative representations of steel structural systems in tall buildings are described. The paper also reports the results of several design experiments. They have shown that generative representations produce novel structural shaping patterns which are qualitatively different than the patterns obtained using traditionally used parameterized representations. They also significantly improve the performance of evolutionary algorithms optimizing the structural systems. Finally, research conclusions are presented and most promising paths of future research are discussed.
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dc.format.mimetypeapplication/octet-stream
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dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.identifier.citationKicinger, R., Arciszewski, T., and De Jong, K. A. (2005). "Generative design in structural engineering." Proceedings of the 2005 ASCE International Conference on Computing in Civil Engineering, Cancun, Mexico, July 12-15, 2005, L. Soibelman and F. Peña-Mora, eds., American Society of Civil Engineers Press, Reston, VA.
dc.identifier.urihttps://hdl.handle.net/1920/622
dc.language.isoen_US
dc.publisherAmerican Society of Civil Engineers Pressen
dc.titleGenerative design in structural engineering
dc.typeArticle

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