C 06

Integration of Additive Manufacturing in the Construction Process

Prof. Dr.-Ing. Patrick Schwerdtner, Project Leader
Prof. Dr.-Ing. Markus Gerke, Project Leader
Prof. Dr. (sc. ETH Zurich) Dipl. Ing. M.A. AA Norman Hack, Project Leader

M. Sc. Mawas Karam
Dr.-Ing. Mehdi Maboudi
M. Sc. Gerrit Placzek
Dr.-Ing. Björn Riedel
Carsten Jantzen

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).

Prof. Dr.-Ing. Patrick Schwerdtner

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.

patrick.schwerdtner(at)tu-braunschweig.de

Prof. Dr.-Ing. Markus Gerke

will instruct the other doc. researcher in the fields of surveying, scanning and machine learning. A particular task will be the coordination of participants involved with this and other projects.

m.gerke(at)tu-bs.de

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.

n.hack(at)tu-bs.de

M. Sc. Mawas Karam

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.

k.mawas(at)tu-braunschweig.de

Dr.-Ing. Mehdi Maboudi

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.

m.maboudi(at)tu-bs.de

M. Sc. Gerrit Placzek

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.

g.placzek(at)tu-braunschweig.de

Dr.-Ing. Björn Riedel

b.riedel(at)tu-braunschweig.de

is an associate researcher at the IGP and supports one of the doctoral researchers in the field of Engineering Geodesy.

2020 | Placzek, G.; Schwerdtner, P.: Ableitung von Integrationsansätzen des "Beton-3D-Drucks" in den Bauprozess anhand von Merkmalen der additiven Fertigung. In: Bauwirtschaft 4 (2020), ISSN: 2509-8594.

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. In: 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. In: 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. In: 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. In: 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. In: Remote Sens., vol. 8, no. 3, p. 231.