Integration of Additive Manufacturing in the Construction Process
Prof. Dr.-Ing. Patrick Schwerdtner, Project Leader Prof. Dr.-Ing. Markus Gerke, Project Leader Junior Prof. Dr. (sc. ETH Zurich) Dipl. Ing. M.A. AA Norman Hack, Project Leader
M. Sc. Leon Brohmann M. Sc. Mawas Karam Dr.-Ing. Mehdi Maboudi M. Sc. Gerrit Placzek
Summary of C 06
The introduction of additive manufacturing in construction is expected to lead to fundamental changes along its entire value chain. While traditional construction processes are characterised by the fragmentation of construction knowledge, new digital tools allow the integration of all project participants already in early project phases. The prerequisite for this is a bi-directional flow of information into a central building information model. The aim of this project is to investigate the bi-directional relationship between production and planning at the scale levels of component fabrication (using computer vision and machine learning for fabrication improvement), component assembly on-site (using mixed reality besides others) and on the industry scale (e.g. integrated project delivery).
will supervise one of the Doc. researchers especially concerning the selection and assessment of parameters and the basic layout of the process analysis. His expertise will be used to develop (new) process models and innovative delivery approaches in the later phase. He is also responsible for the overall coordination of project C06 and the projects belonging to WP 1.1, 2.1 and 3.
Junior Prof. Dr. (sc. ETH Zurich) Dipl. Ing. M.A. AA Norman Hack
will focus on implementing new technologies into AM processes in this project. His main task will be to guide and coordinate the doc. researchers within the interdisciplinary setting and supervise the implementation of new technologies such as machine learning and mixed reality into the actual fabrication processes in particular.
The doc. researcher will work in close collaboration with the doc. researcher at the IGP. In the first half of the project he or she will conceptualise, plan and conduct the experiments for surface quality improvement. At a later stage of the project the he or she will investigate methods and techniques for mixed-reality assembly on site. It will be necessary to collaborate closely with the IGP researcher. The doc. researcher will be in continuous contact with the researcher at the IBB, reflecting on the direct implication of the technologies for the construction industry in general.
Doctoral researcher at IGP: The researcher Will Provide an inspection process chain utilizing new digital tools to perform the quality inspection of the as-built model of AMC products (mainly concrete) with its digital twin on the component level. Moreover, the next focus would be building scale monitoring of the construction site and establishing accurate coordinate systems to support the positioning during the project.
is an associate researcher at the IGP and will help with supervision of one of the doctoral researchers. His expertise in computer vision, scanning technologies and implementing deep learning methods will be used in this project.
Doctoral researcher at IBB: The doc. researcher will perform a cross-sectional role and work closely with both the other doc. researchers in C06 and on all the other projects mentioned in order to investigate fundamental AM processes and their construction-operational parameters. He will extend the basic knowledge of AM processes through the analysis of AM produced components. Furthermore, he will develop methods for data management and exchange as well as an AM process chain to address fundamental issues of the integration of AM in construction.
2020 | Maboudi, M.; Gerke, M.; Hack, N.; Brohmann, L.; Schwerdtner, P.; Placzek, G.: Current Surveying Methods for the Integration of Additive Manufacturing in the Construction Process. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B4-2020, 2020 XXIV ISPRS Congress, doi.org/10.5194/isprs-archives-XLIII-B4-2020-763-2020
2020 | Buswell, R.; Kinnell, P.; Xu, J.; Hack, N.; Kloft, H.; Maboudi, M.; Gerke, M.; Massin, P.; Grasser, G.; Wolfs, R.; Bos, F.: Inspection Methods for 3D Concrete Printing. RILEM Bookseries 28, pp. 790-803.
2019 | Fanta-Jende, P., Nex, F., Vosselman, G., Gerke, M., “Co-registration of panoramic mobile mapping images and oblique aerial images,” Photogramm. Rec.
2018 | Hack, N. P.: “Mesh Mould: A Robotically Fabricated Structural Stay-in-Place Formwork System,” PhD thesis, ETH Zurich.
2018 | Maboudi, M., Bánhidi, D., Gerke, M.: “Investigation of Geometric Performance of an Indoor Mobile Mapping System,” in IAPRS, vol. XLII-2, pp. 637–64.
2018 | Vetrivel, A., Gerke, M., Kerle, N., Nex, F., Vosselman, G.: “Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiplekernel-learning,” ISPRS J. Photogramm. Remote Sens., vol. 140, pp. 45–59, Jun.
2017 | Niemeier, W., Tengen, D.: “Uncertainty assess- ment in geodetic network adjustment by combining GUM and Monte-Carlo-simulations,” J. Appl. Geod., vol. 11, no. 2, pp. 67–76, Jan.
2016 | Vetrivel, A., Gerke, M., Kerle, N., Vosselman, G.: “Identification of Structurally Damaged Areas in Airborne Oblique Images Using a Visual-Bag-of- Words Approach,” Remote Sens., vol. 8, no. 3, p. 231.