RETURN Rethinking Tunnelling in Urban Neighbourhoods
This project addresses important challenges at the forefront of geotechnical engineering and building conservation by introducing an entirely new workflow and largely unexploited data source for the predic-tion of building damage...
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Descripción del proyecto
This project addresses important challenges at the forefront of geotechnical engineering and building conservation by introducing an entirely new workflow and largely unexploited data source for the predic-tion of building damage from tunnel-induced subsidence. The project will also make fundamental and ground-breaking advances in the collection and processing of city-scale, aerial laser scanning by avoiding any reliance on existing data for building location identification, respective data affiliation, or building fea-ture recognition. This will create a set of techniques that are robust, scalable, and widely applicable to a broad range of communities with unreinforced masonry buildings. This will also lay the groundwork to rapidly generate and deploy city-scale, computational models for emergency management and disaster re-sponse, as well as for the growing field of environmental modelling.