Additive Manufacturing in Construction

Project C 04

Networking with other projects

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

The project contributes to bridging the gap between digital design and additive manufacturing through BIM-based design decision support, modeling of fabrication information and digital twin methods. During early design stages of a BIM-based architectural design, suitable building components and applicable AM methods will be identified through interactive, knowledge-driven processes of decision-making. Methods will be developed for generating Fabrication Information Models (FIM) using Information derived from Building Information Models (BIM). 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 consistency between multiple levels of detail.


BIM-based Additive Manufacturing: Enabling BIM support for AM methods by design decision support and common data model including digital twin methods

  • Develop a Design Decision Support System (DDSS) to support architects making informed decisions about the applicability of AM in the early design phases.
  • Develop Fabrication Information Models (FIM) based on Building Information Models for detailed description of AM processes and related fabrication information.
  • Integration of Digital Twin methods into FIM to enable the representation of detailed “As-built” information for validation and post-processing purposes.


Bridge BIM and AM: using the interactive DDSS with formal knowledge, auto-generated FIM based on IFC-Data structure and digital twin methods

  • AM knowledge formalization and inquiry using W3C-recommended Semantic Web technologies
  • Evaluation of AM methods with Multi-Criteria-Decision-Making (MCDM) methodologies
  • IFC-based data structure design for representation of fabrication information and related processes
  • Variant modelling for different AM methods based on multi-LOD modelling methods
  • Projection of feedback information onto “As-designed” FIM data structures to represent deviations to “As-built” component state

Networking with other projects

During knowledge acquisition, C04 conducts semi-structured interviews with other A and C sub-projects from A01 to A05, and from C01 to C06.
Together with C01 a translation mechanism is developed to enable a direct link between a FIM-Model and their simulation methods.

Project leaders

Prof. Dr.-Ing. André Borrmann Prof. Dr.-Ing. Frank Petzold


M. Sc. Chao Li M. Sc. Martin Slepicka

Related Publications

RTDE robot control integration for Fabrication Information Modeling Optical Process Control for extrusion-based Additive Manufacturing methods Linking Fabrication Information Modeling and Finite Cell Method for simulating the behavior of additively manufactured building components AEC Digital Twin Data – Why structure matters, International Conference on Computing Levels of detail, development, definition, and information need: a critical literature review Pragmatic Design Decision Support for Additive Construction Using Formal Knowledge and Its Prospects for Synergy with a Feedback Mechanism Digital Twinning in Additive Manufacturing – Closing the Digital-Physical-Digital Loop by Automated Integration of Captured Geometric Data into Fabrication Information Models Formal knowledge as a basis for BIM-based design decision support in additive manufacturing Towards informed design decision support of additive manufacturing in construction: The use of integrated knowledge in BIM-based architectural design Fabrication information modeling: interfacing building information modeling with digital fabrication Fabrication Information Modeling: Closing the gap between Building Information Modeling and Digital Fabrication Towards realizing the information backbone of robotized construction – Computational methods and cyber-physical architectures for collaborative robotic fleets BIM für die Additive Fertigung im Bauwesen Graph Rewriting Techniques in Engineering Design Integrating Digital Design and Additive Manufacturing Through BIM-Based Digital Support – A decision support system using Semantic Web and Multi-Criteria Decision Making

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