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I. Kovacic, M. Honic:
"BIM-supported scanning and data capturing for Integrated Resources and Energy Assessment";
Talk: CIB World Building Congress 2019 - Constructing Smart Cities, Hong Kong, China (invited); 2019-06-17 - 2019-06-21; in: "CIB World Building Congress 2019 - Constructing Smart Cities", (2019), 1 - 10.

The building stock and infrastructure are the largest material stock of industrial economies. The total material stock on the global scale is about as large as reserves of primary resources in nature. It is of long-term importance to maintain or frequently recycle the urban stock, and in consequence to minimize the use of primary resources and thus the dependency on imports - a strategy labelled as "Urban Mining". Simultaneously, buildings consume worldwide 40% of energy and produce about 30% of global CO2 emissions. With a construction rate of only 2%, the building stock is crucial for minimization of energy consumption. Due to worldwide rapidly increasing consumption of resources and land, as well as growing generation of waste, increasing of recycling rates and reuse of materials, next to reduction of energy consumption is of highest priority for achievement of sustainability.
This paper presents ongoing research within multidisciplinary, funded research project SCI_BIM, based on coupling of digital technologies and methods for capturing and modelling (as-built BIM) of buildings and assets (geometry and material composition) as well as on energy modelling and analysis; finally using gamification concept for reduction of energy consumption together with automated update of as built-BIM4FM.
The focus of this particular paper will be the assessment of geometry and material composition of the existing buildings, and explore possibilities of semi-automated BIM model generation and BIM-based Material Passports (MP). Thereby for capturing of geometry laser scanning and photogrammetry is used, and for capturing of material composition Ground Penetrating Radar (GPR). The workflow for material capturing and modelling via a semi-automatic scan to BIM process for generation of information-rich as-built BIMs from a Point-Cloud, which would enable efficient generation of BIMbased Material Passports, will be presented. The use of GPR for semi-automated BIM, which incorporates material information addresses the research gap - the capturing and modelling of geometry is already well explored, however the methods and tools for capturing and modelling of material composition of buildings are largely lacking. Thereby the automated generation of a Material Passport at the end of the lifecycle should be enabled, for delivery of useful information for the material cadaster as well as for the assessment of the material value of a building.

Laser Scanning; Point Cloud; Material Passport; As-built BIM; Automatization