Rapid Infrastructure Digitization Framework to Support High-Fidelity Hurricane Risk Assessment

摘要

Recent losses provide sobering evidence of the continued need for more effective hurricane risk assessment. Fortunately, advances in computational science have now made possible new venues to do so; however, this requires digitization of built environments to allow their evaluation within these computational spaces. Doing so presents a significant challenge, given the diversity and data insufficiency in the structural inventory, and the need for an approach that readily scales. In response,this study proposes a framework to support rapid, automated digitization from publically available images. The framework has two major phases for most typologies: exterior geometry extraction and subassembly modeling. These phases are independently validated and, through the development of a heuristic schema founded in disciplinary perspectives, integrated to demonstrate the viability of the approach at the system level for wood framed residential structures.