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Framework For Design: The Study Of Parametrics For Contextually Responsive High Rise Design

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dc.contributor.author Caron, Nicholas
dc.date.accessioned 2011-12-16T12:32:55Z
dc.date.available 2011-12-16T12:32:55Z
dc.date.issued 2011-12-16
dc.identifier.uri http://hdl.handle.net/10222/14365
dc.description.abstract The following thesis investigates parametric thinking and evolutionary solving principles in the creation of a framework for residential high rise design. Site specific parameters such as site access (pedestrian and vehicular), views, acknowledgement of neighbours, or climatic, such as natural day lighting and ventilation, should be used to inform the design. Parametric software is used as a tool to generate designs dynamically. With the help of an evolutionary solver component, the design potential is augmented by generating multiple iterations which are analyzed for their success or failure in an effort to provide an appropriate response within the context of the site. The framework is tested on a site located at the corner of Duplex Avenue and Eglinton Avenue West in Toronto, Canada. en_US
dc.language.iso en en_US
dc.subject Parametric en_US
dc.subject High Rise en_US
dc.subject Architecture en_US
dc.subject Design en_US
dc.subject Framework en_US
dc.subject Toronto en_US
dc.subject Residential en_US
dc.subject High Density en_US
dc.title Framework For Design: The Study Of Parametrics For Contextually Responsive High Rise Design en_US
dc.date.defence 2011-11-24
dc.contributor.department Department of Architecture en_US
dc.contributor.degree Master of Architecture en_US
dc.contributor.external-examiner Brian Carter en_US
dc.contributor.graduate-coordinator Brian Lilley en_US
dc.contributor.graduate-coordinator Steve Parcell en_US
dc.contributor.thesis-reader Steven Mannell en_US
dc.contributor.thesis-supervisor Roland Hudson en_US
dc.contributor.ethics-approval Not Applicable en_US
dc.contributor.manuscripts Not Applicable en_US
dc.contributor.copyright-release Not Applicable en_US


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