Scan to BIM for the Semi-Automated Generation of a Material Passport for an Existing Building
Open accessAbstract
The construction sector has a large negative impact on the environment due to its wasteful treatment of raw materials.To minimize the raw materials consumption, increasing recycling rates through reusing or recycling materials in existing stocks is of utmost importance.However, the main obstacle in the recycling of existing building stocks is the lack of information about materials incorporated in buildings.This work presents the ongoing research within the multidisciplinary research project SCI_BIM, which received funding by the Austrian federal ministry of transport, innovation and technology.Within this paper, the semi-automated generation of an as-built BIM-Model for an existing building as well as the generation of a Material Passport (MP) is tested.In order to obtain the geometry and material information, laser scanners (geometry) and a Ground Penetrating Radar (GPR, for materials) are used.Thereby, first, a semi-automated BIM-Model is generated from the point cloud, which was obtained from the laser scans.Finally, the material information obtained from the GPR is integrated into the BIM-Model for the compilation of the MP.First results show that the generation of the MP for the use case is possible, but confronted with manual steps, such as integrating material information from different sources (e.g.analysis of demolition experts).The results of this paper should serve as a basis for the creation of a secondary raw materials cadastre in order to enable recycling of valuable materials, thus supporting the achievement of the EU goals 20-20-20.
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The review found that Honic et al. (2020) outlines a process to semi-automate the generation of MPs from 3D scanning data based on the identification of existing built elements.
“For example, in response to the need to passport existing building stock, the research by Honic et al. (2020) outlines a process to semi-automate the generation of MPs from 3D scanning data based on the identification of existing built elements.”
From Digital material passports in the AEC industry: a scoping review and conceptualisation of future research challenges (2025) · cites this paper as Honic et al., 2020
The review found that authors identify additional research challenges around the automation of MPs' generation.
“authors identify additional research challenges around the automation of MPs' generation (Druijff, 2019;Honic et al., 2019c;Honic et al., 2019d;Honic et al., 2020;Kovacic & Honic, 2021;Meister, 2020;Schols, 2022).”
From Digital material passports in the AEC industry: a scoping review and conceptualisation of future research challenges (2025) · cites this paper as Honic et al., 2020
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Research works printed but not linked: 10
- Arikan, M., Schwärzler, M., Flöry, S., Wimmer, M., and Maierhofer, S. (2013). O-snap: Optimization-based snapping for modeling architecture. ACM Transactions on Graphics (TOG), 32(1), pp. 1-15.
- Bribián, I.Z., Capilla, A.V., and Usón, A.A. (2011). Life cycle assessment of building materials: Comparative analysis of energy and environmental impacts and evaluation of the eco-efficiency improvement potential. Building and Environment, 46(5), pp. 1133-1140.
- Brunner, P. H. (2011). Urban mining a contribution to reindustrializing the city. Journal of Industrial Ecology, 15(3), pp. 339-341.
- Hong, S., Jung, J., Kim, S., Cho, H., Lee, J., and Heo, J. (2015). Semi-automated approach to indoor mapping for 3D as-built building information modeling. Computers, Environment and Urban Systems, 51, pp. 34-46.
- Honic, M., Kovacic, I., Sibenik, G., and Rechberger, H. (2019). Data-and stakeholder management framework for the implementation of BIM-based Material Passports. Journal of building engineering, 23, pp. 341-350.
- Jung, J., Stachniss, C., Ju, S., and Heo, J. (2018). Automated 3D volumetric reconstruction of multiple-room building interiors for as-built BIM. Advanced Engineering Informatics, 38, pp. 811-825.
- Klinglmair, M., and Fellner, J. (2010). Urban mining in times of raw material shortage: Copper management in Austria during World War I. Journal of Industrial Ecology, 14(4), pp. 666-679.
- Kovacic, I., and Honic, M. (2019). BIM-supported scanning and data capturing for Integrated Resources and Energy Assessment. CIB WBC Conference 2019, Hongkong.
- Monszpart, A., Mellado, N., Brostow, G. J., and Mitra, N. J. (2015). RAPter: rebuilding man-made scenes with regular arrangements of planes. ACM Trans. Graph., 34(4), pp. 103-1.
- Suzuki, S., and Abe, K. (1985). Topological structural analysis of digitized binary images by border following. Computer vision, graphics, and image processing, 30(1), pp. 32- 46.
Cited by
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Veliz Reyes, A., Olmez, D., Grout, J., & Carr, A. (2025) · Architectural Engineering and Design Management · doi:10.1080/17452007.2025.2579731 · Cited by 7 · see citing works
- Authors
- Honic, M., Kovacic, I., Gilmutdinov, I., & Wimmer, M.
- Affiliations
- TU Wien (AT)
- Venue
- CIB W78 Proceedings
- Published
- 2020-08-18
- Pages
- 338-346
- ISSN
- 2706-6568 (ISSN-L)
- OpenAlex
- W3047225828
- Cited by
- 10
- References
- 0
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 2 · 2023: 3 · 2021: 1
- FWCI
- 1.65
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- CIB W78 conference series (publishedVersion)
- Topics
- Physical Sciences › Engineering › Building and Construction › BIM and Construction Integration
- Physical Sciences › Earth and Planetary Sciences › Geology › 3D Surveying and Cultural Heritage
- Physical Sciences › Engineering › Building and Construction › 3D Modeling in Geospatial Applications
- Keywords
- scan-to-BIM, material passports, existing buildings, semi-automated data extraction, building information modeling, 3D scanning
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