C 04

Integrating Digital Design and Additive Manufacturing through BIM-Based Decision Support and Digital Twin Methods

Prof. Dr.-Ing. André Borrmann, Project Leader
Prof. Dr.-Ing. Frank Petzold, Project Leader

M. Sc. Chao Li
B. Sc. Martin Slepicka
M. Sc. Simon Vilgertshofer

Summary of C 04

The project will contribute to closing the gap between digital design and additive manufacturing. The conceived Design Decision Support System (DDSS) will enable the identification of components suitable for AM technology, founded on a for- mal AM knowledge base. Methods will be developed for generating Fabrication Information Models (FIM) from Building Information Models (BIM). These methods will be based on graph theory and algorithmic geometry. By incorporating manufacturing information from robots and sensors, methods for creating digital twin representations reflecting as-built geometry and properties are developed. The approaches are based on the concept of multi-LOD BIM ensuring the consis- tency between multiple levels of detail.

Prof. Dr.-Ing. André Borrmann

acts as co-lead in this research project. He is responsible for leading and guiding WP2 and WP 3 and parts of WP 4. He is also responsible for coordinating the collaboration with other projects.

andre.borrmann(at)tum.de

Prof. Dr.-Ing. Frank Petzold

acts as co-lead in this research project. He is responsible for leading and guiding WP1 and parts of WP 4. He is also responsible for coordinating the collaboration with other projects.

petzold(at)tum.de

M.Sc. Fiona Collins

fiona.collins(at)tum.de

M.Sc. Ann-Kristin Dugstad

ann-kristin.dugstad(at)tum.de

M. Sc. Chao Li

His task is to develop a DDSS at a early design phase integrating AM. The expected system needs to combine both hard rules (boundary conditions) and experts's experience, in order to advise the designer (architect) for feasible AM methods regarding to different building components.

chao1.li(at)tum.de

M. Sc. Martin Slepicka

is developing a data structure and corresponding methods (WP 2) that enable a closed chain between digital design (e.g. BIM) and digital manufacturing (mainly Additive Manufacturing). For backwards communication of "as-built" information during and after a manufacturing process, digital twin methods are incorporated into the developed FIM system (WP 3).

martin.slepicka(at)tum.de

M. Sc. Simon Vilgertshofer

is a research associate and group leader at the Chair of Computational Modeling and Simulation and co-supervises the research especially in WP2, WP 3 and parts of WP 4.

simon.vilgertshofer(at)tum.de

2021 | Li, C.; Petzold, F.: Integrating Digital Design and Additive Manufacturing Through BIM-Based Digital Support - A decision support system using Semantic Web and Multi-Criteria Decision Making. In: Proceedings of the 26th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) 2021, Volume 1, 263-270.

2019 | Zahedi, A.; Abualdenien, J.; Petzold, F.; Borrmann, A.: Minimized communication protocol based on a multi-LOD meta-model for adaptive detailing of BIM models. In: Proc. of the 26th International Workshop on Intelligent Computing in Engineering, Leuven, Belgium.

2019 | Abualdenien, J.; Borrmann, A.: A meta-model approach for formal specification and consistent management of multi-LOD building model. In: Adv. Eng. Inf., 40(1), pp. 135-153.

2018 | Zahedi, A.; Petzold, F.: Utilization of Simulation Tools in Early Design Phases Through Adaptive Detailing Strategies. In: In Proc. of 23rd Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2018).

2017 | König, M.; Borrmann, A.; Geyer, P.; Schneider, P.; Lang, W.; Petzold, F.; Schellenbach-Held, M.: Evaluation of building design variants in early phases on the basis of adaptive detailing strategies and system-based simulation of energy flows for such models. In: Beyond BIM, pp. 1-3.

2017 | Vilgertshofer, S.; Borrmann, A.: Using graph rewriting methods for the semi-automatic generation of parametric infrastructure models. Adv. Eng. Inf., 33, pp. 502-515.

2017 | Roith, J.; Langenhan C.; Petzold, F.: Supporting the building design process with graph-based methods using centrally coordinated federated databases. Vis. in Eng., 5(1), pp. 20.

2015 | Borrmann, A.; Kolbe, T. H.; Donaubauer, A.; Steuer, H.; Jubierre, J. R.; Flurl, M.: Multi‐scale geometric‐semantic modelling of shield tunnels for GIS and BIM applications. In: Comput.-Aided Civ. Infrastruct. Eng., 30(4), pp. 263-281.

2014 | Daum, S.; Borrmann, A.; Langenhan, C.; Petzold, F.: Automated generation of building fingerprints using a spatio-semantic query language for building information models. In: eWork and eBusiness in Architecture, Engineering and Construction: ECPPM 2014, Vienna, Austria.

2014 | Ritter, F.; Schubert, G.; Geyer, P.; Borrmann, A.; Petzold, F.: Design Decision Support– Real-time Energy Simulation in the Early Design Stages. In: Proc. of the 2014 Int. Conf. on Computing in Civil and Building Engineering, Orlando, Florida, USA.

2013 | Langenhan, C.; Weber, M.; Liwicki, M.; Petzold, F.; Dengel, A.: Graph-based retrieval of building information models for supporting the early design stages. Adv. Eng. Inf., 27(4), pp. 413- 426.