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dc.contributor.authorCaron, Nicholas
dc.date.accessioned2011-12-16T12:32:55Z
dc.date.available2011-12-16T12:32:55Z
dc.date.issued2011-12-16
dc.identifier.urihttp://hdl.handle.net/10222/14365
dc.description.abstractThe 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.isoenen_US
dc.subjectParametricen_US
dc.subjectHigh Riseen_US
dc.subjectArchitectureen_US
dc.subjectDesignen_US
dc.subjectFrameworken_US
dc.subjectTorontoen_US
dc.subjectResidentialen_US
dc.subjectHigh Densityen_US
dc.titleFramework For Design: The Study Of Parametrics For Contextually Responsive High Rise Designen_US
dc.date.defence2011-11-24
dc.contributor.departmentSchool of Architectureen_US
dc.contributor.degreeMaster of Architectureen_US
dc.contributor.external-examinerBrian Carteren_US
dc.contributor.graduate-coordinatorSteve Parcellen_US
dc.contributor.thesis-readerSteven Mannellen_US
dc.contributor.thesis-supervisorRoland Hudsonen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.copyright-releaseNot Applicableen_US
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