A BIM-based approach towards additive manufacturing of concrete structures

Publikationstyp
Conference Paper
Date Issued
2020-07
Sprache
English
Author(s)
Peralta Abadia, Patricia  orcid-logo
Hein, Sebastian S. V.  
Ludwig, Horst Michael  
Smarsly, Kay  
TORE-URI
http://hdl.handle.net/11420/9191
Start Page
324
End Page
332
Citation
Workshop on Intelligent Computing in Engineering (EG-ICE 2020)
Contribution to Conference
Workshop on Intelligent Computing in Engineering, EG-ICE 2020  
Publisher DOI
10.14279/depositonce-9977
Scopus ID
2-s2.0-85091017673
Publisher
Universitätsverlag der TU Berlin
Additive manufacturing (AM) of concrete structures, a technology to automate the architecture, engineering, and construction industry, has been gaining relevance over the past decade. Current data models employed for AM of concrete structures have been evolving slower than AM technologies, most of which relying on solutions that are not suitable for concrete. Current data models insufficiently support complex inter-process relationships within concrete printing. Taking advantage of building information modeling (BIM), a semantic modeling approach, referred as “printing information modeling” (PIM), is proposed in this paper. The PIM model describes the parameters necessary to execute concrete printing jobs, taking into account processes, material, and geometry information. From the results achieved in this study, it is concluded that integrating PIM into BIM models has the potential to provide complete information models advancing AM of concrete structures.