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- W2978937106 abstract "Recent losses provide sobering evidence ofthe continued need for more effective hurricane risk assessment.Fortunately, advances in computational science have now madepossible new venues to do so. However, this requires digitizationof built environments to allow their evaluation within thesecomputational spaces. Doing so presents a significant challenge,given the diversity and data insufficiency in the structuralinventory and the need for an approach that readily scales. Inresponse, this thesis proposes a framework to support automateddigitization from publically available images. The framework hasthree main phases: exterior geometry extraction, interior geometryestimation, and subassembly modeling. Each phase was independentlyvalidated and, through the development of a heuristic schemafounded in disciplinary perspectives, integrated to demonstrate theresulting fidelity of the approach. The end result is adigitization schema that can be readily applied to wood frameresidential structures and is readily expandable to otherconstruction typologies." @default.
- W2978937106 created "2019-10-10" @default.
- W2978937106 creator A5086637120 @default.
- W2978937106 date "2013-04-09" @default.
- W2978937106 modified "2023-09-27" @default.
- W2978937106 title "Rapid Infrastructure Digitization to Support High-Fidelity Hurricane Risk Assessment" @default.
- W2978937106 hasPublicationYear "2013" @default.
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