Vilgertshofer, Simon M. Sc. Archives - Additive Manufacturing in Construction (AMC) TRR277 https://amc-trr277.de/trr277-person/m-sc-simon-vilgertshofer/ AMC TRR 277 Thu, 22 Jan 2026 14:05:56 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.5 Project C 04 https://amc-trr277.de/projects/project-area-c/focus-area-c-04/ Fri, 19 Nov 2021 15:45:01 +0000 http://amc-trr277.de/?post_type=projects&p=3453 The post Project C 04 appeared first on Additive Manufacturing in Construction (AMC) TRR277.

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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.

Objective

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.

Methods

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 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

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Project leader

Borrmann, André Prof. Dr.-Ing.

acts as co-lead in project C04. 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. He leads the doctoral researcher in the design and implementation of the virtual common research environment. He is responsible for the coordination of the projects in the TRR 277 and the coordination with the Leibniz Supercomputing Centre (LRZ).

Project(s)

Project C 04

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

Prof. Dr.-Ing. Frank Petzold

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Project leader

Petzold, Frank Prof. Dr.-Ing.

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. He leads the doctoral researcher in the design and implementation of the research data management & publication platform. He is responsible for the coordination of the research projects in the TRR 277 and the coordination with the University Library of the Technical University of Munich.

Project(s)

Project C 04

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

Contributors

M. Sc. Mohammad Alrabab’h

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Alrabab'h, Mohammad M. Sc

Alrabab’h, Mohammad M. Sc. Is a doctoral researcher at TUM, chair of Computing in Civil and Building Engineering. He works on extending systems that connect digital design methods such as BIM with digital manufacturing processes, with a focus on Additive Manufacturing. This includes improving data models, developing the FIM system further, and integrating digital twin approaches to capture as buil…

Project(s)

Project C 04

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

M. Sc. Chao Li

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Li, Chao M. Sc.

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.

Project(s)

Project C 04

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

M. Sc. Martin Slepicka

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Slepicka, Martin M. Sc.

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).

Project(s)

Project C 04

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

Related Publications

Data-Driven Parameter Calibration in Additive Manufacturing for Construction

2025 | L. Bettermann, M. Slepicka, S. Esser, A. Borrmann: Data-Driven Parameter Calibration in Additive Manufacturing for Construction Proc. of the 32nd Int. Conference on Intelligent Computing in Engineering (EG-ICE), 2025, https://mediatum.ub.tum.de/node?id=1781543

Data | Zenodo, 2026, https://doi.org/10.5281/zenodo.18348050

Integration of laser profiler feedback into FIM for additive manufacturing in construction

2024 |S.L. Espinosa, A. Borrmann: Integration of laser profiler feedback into FIM for additive manufacturing in construction 41st International Symposium on Automation and Robotics in Construction (ISARC 2024), 2024, https://doi.org/10.22260/ISARC2024/0013

Data | Zenodo, 2026, https://doi.org/10.5281/zenodo.18348467

Fabrication Information Modeling for Closed-Loop Design and Quality Improvement in Additive Manufacturing for Construction

2024 |M. Slepicka, A. Borrmann: Fabrication Information Modeling for Closed-Loop Design and Quality Improvement in Additive Manufacturing for Construction Automation in Construction 168, 2024, https://doi.org/10.1016/j.autcon.2024.105792

Data | Zenodo, 2026, https://doi.org/10.5281/zenodo.18288212

Ontology-Driven Mixture-of-Domain Documentation: A Backbone Approach Enabling Question Answering for Additive Construction

2025 | C. Li, F. Petzold: Ontology-Driven Mixture-of-Domain Documentation: A Backbone Approach Enabling Question Answering for Additive Construction Buildings, 15(1), 133, 2025, https://doi.org/10.3390/buildings15010133.

Data | TRR277 Mixture-of-Domain Documentation Ontologies, mediaTUM, University Library, Technical University of Munich, 2025, https://doi.org/10.14459/2025mp1775224.001.

Lifecycle framework for AI-driven parametric generative design in industrialized construction

2025 | M. Y. Gao, C. Li, F. Petzold, R. L. K. Tiong, Y. Yang: Lifecycle framework for AI-driven parametric generative design in industrialized construction Automation in Construction, 174, 2025, 106146, https://www.sciencedirect.com/science/article/pii/S0926580525001864

Ontology-Driven Mixture-of-Domain Documentation: A Backbone Approach Enabling Question Answering for Additive Construction

2025 | C. Li, F. Petzold: Ontology-Driven Mixture-of-Domain Documentation: A Backbone Approach Enabling Question Answering for Additive Construction Buildings, Volume 15, Issue 133,  https://doi.org/10.3390/buildings15010133

Fabrication information modeling for closed-loop design and quality improvement in additive manufacturing for construction

2024 | M. Slepicka, A. Borrmann: Fabrication information modeling for closed-loop design and quality improvement in additive manufacturing for construction, Automation in Construction, Volume 168, 105792

Integration of laser profiler feedback into FIM for additive manufacturing in construction

2024 |S. Espinosa, M. Slepicka, A. Borrmann: Integration of laser profiler feedback into FIM for additive manufacturing in construction, ISARC. Proceedings of the 41st International Symposium on Automation and Robotics in Construction, IAARC Publications, Volume 41, 89–96

RTDE robot control integration for Fabrication Information Modeling

2023 | M. Slepicka, J. Helou, A. Borrmann: RTDE robot control integration for Fabrication Information Modeling. In: Proceedings of the 40th International Symposium on Automation and Robotics in Construction (ISARC), 102–109. ​(2023)

Optical Process Control for extrusion-based Additive Manufacturing methods

2023 | R. Mohiuddin, M. Cruz Policroniades, M. Slepicka, A. Borrmann: Optical Process Control for extrusion-based Additive Manufacturing methods. In: construction. Proceedings of the 40th International Symposium on Automation and Robotics in Construction (ISARC), 94–101. (2023)

Linking Fabrication Information Modeling and Finite Cell Method for simulating the behavior of additively manufactured building components

2023 | Oztoprak, O.; Slepicka, M.; Aninger, A.L.; Kollmannsberger, S.; Rank, E.; Borrmann, A.: Linking Fabrication Information Modeling and Finite Cell Method for simulating the behavior of additively manufactured building components. In: EG-ICE Conference, 2023.

AEC Digital Twin Data – Why structure matters, International Conference on Computing

2022 | A. Borrmann, J. Schlenger, R. Sacks: AEC Digital Twin Data – Why structure matters, International Conference on Computing. In: Civil & Building Engineering, Cape Town​, (2022)

Levels of detail, development, definition, and information need: a critical literature review

2022 | J. Abualdenien, A. Borrmann: Levels of detail, development, definition, and information need: a critical literature review. In: ITcon Vol. 27, (2022) Special issue The Eastman Symposium, pg. 363-392,
https://doi.org/10.36680/j.itcon.2022.018

Pragmatic Design Decision Support for Additive Construction Using Formal Knowledge and Its Prospects for Synergy with a Feedback Mechanism

2022 | Li, C.; Zahedi, A.; Petzold, F.: Pragmatic Design Decision Support for Additive Construction Using Formal Knowledge and Its Prospects for Synergy with a Feedback Mechanism. In: Buildings, vol. 12, no. 12, p. 2072, Nov. 2022, doi: 10.3390/buildings121220

Digital Twinning in Additive Manufacturing – Closing the Digital-Physical-Digital Loop by Automated Integration of Captured Geometric Data into Fabrication Information Models

2022 | M. Slepicka, K. Mawas, A. Borrmann, M. Maboudi, M. Gerke: Digital Twinning in Additive Manufacturing – Closing the Digital-Physical-Digital Loop by Automated Integration of Captured Geometric Data into Fabrication Information Models Advances in Information Technology in Civil and Building Engineering. ICCCBE 2022. Lecture Notes in Civil Engineering, vol 357. Springer, Cham

Formal knowledge as a basis for BIM-based design decision support in additive manufacturing

2022 | Li, C.; Petzold , F.: Formal knowledge as a basis for BIM-based design decision support in additive manufacturing. In 33. Forum Bauinformatik 2022

Towards informed design decision support of additive manufacturing in construction: The use of integrated knowledge in BIM-based architectural design

2022 | Li, C.; Petzold, F.: Towards informed design decision support of additive manufacturing in construction: The use of integrated knowledge in BIM-based architectural design. In Arab Society for Computer Aided Architectural Design (ASCAAD) (2022)

Fabrication information modeling: interfacing building information modeling with digital fabrication

2022 | M. Slepicka, S. Vilgertshofer, A. Borrmann: Fabrication information modeling: interfacing building information modeling with digital fabrication. In: Construction Robotics (2022) volume 6, pages 87–99, doi: 10.1007/s41693-022-00075-2​

Fabrication Information Modeling: Closing the gap between Building Information Modeling and Digital Fabrication

2021 |Slepicka, M.; Vilgertshofer, S.; Borrmann, A.: Fabrication Information Modeling: Closing the gap between Building Information Modeling and Digital Fabrication, In: Proceedings of the 38th ISARC, Dubai, UAE, 2021, P. 9-16, DOI: https://doi.org/10.22260/ISARC2021/0004

 

Towards realizing the information backbone of robotized construction – Computational methods and cyber-physical architectures for collaborative robotic fleets

2021 | Borrmann, A.; Bruckmann, T.; Dörfler, K.; Hartmann, T.; Smarsly, K.: Towards realizing the information backbone of robotized construction – Computational methods and cyber-physical architectures for collaborative robotic fleets. In: Proc. of the CIB W78 Conference, 2021.

BIM für die Additive Fertigung im Bauwesen

2021 | Slepicka, M.: BIM für die Additive Fertigung im Bauwesen. In: Borrmann A., König M., Koch C., Beetz J. (Hrsg.) Building Information Modeling – Technologische Grundlagen und industrielle Praxis. VDI-Buch. Springer Vieweg, Wiesbaden. 2021. DOI: https://doi.org/10.1007/978-3-658-33361-4_28.

Graph Rewriting Techniques in Engineering Design

2021 | L. Kolbeck, S. Vilgertshofer, J. Abualdenien, A. Borrmann: Graph Rewriting Techniques in Engineering Design. In: Frontiers in Built Environment (7), (2021) 815153, doi: 10.3389/fbuil.2021.815153​

Integrating Digital Design and Additive Manufacturing Through BIM-Based Digital Support – A decision support system using Semantic Web and Multi-Criteria Decision Making

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.

More projects of
Focus Area C

Project C 01

Bridging Scales – From Geometric Part Details to Construction Elements

Project C 02

3D Structural Puzzle – Numerical Multi Scale Shape and Topology Optimisation Methods to Additively Manufacture Optimal Structures from Optimised Pieces

Project C 03

Integration of Passive and Active Functions in Additively Manufactured Construction Elements

Project C 05

Jointing Principles for Combination of Concrete Elements Produced by Different Additive Manufacturing Processes

Project C 06

Integration of Additive Manufacturing in the Construction Process

Project C 09

Environmental Life Cycle Assessment – Determination of Ecological Sustainability Potentials by AMC

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]]> Fabrication information modeling: interfacing building information modeling with digital fabrication https://amc-trr277.de/amc-publikation/implementation-of-a-surrogate-model-for-a-novel-path-based-finite-element-simulation-for-additive-manufacturing-processes-in-construction-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2/ Tue, 14 Nov 2023 09:18:26 +0000 https://amc-trr277.de/?post_type=amc-publikation&p=6900 2022 | M. Slepicka, S. Vilgertshofer, A. Borrmann: Fabrication information modeling: interfacing building information modeling with digital fabrication. In: Construction Robotics (2022) volume 6, pages 87–99, doi: 10.1007/s41693-022-00075-2​

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]]> 2022 | M. Slepicka, S. Vilgertshofer, A. Borrmann: Fabrication information modeling: interfacing building information modeling with digital fabrication. In: Construction Robotics (2022) volume 6, pages 87–99, doi: 10.1007/s41693-022-00075-2​

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]]> Fabrication Information Modeling: Closing the gap between Building Information Modeling and Digital Fabrication https://amc-trr277.de/amc-publikation/fluid-intrusion-in-powder-beds-for-selective-cement-activation-an-experimental-and-analytical-study-2/ Tue, 19 Apr 2022 10:46:47 +0000 https://amc-trr277.de/?post_type=amc-publikation&p=5669 2021 |Slepicka, M.; Vilgertshofer, S.; Borrmann, A.: Fabrication Information Modeling: Closing the gap between Building Information Modeling and Digital Fabrication, In: Proceedings of the 38th ISARC, Dubai, UAE, 2021, P. 9-16, DOI: https://doi.org/10.22260/ISARC2021/0004  

The post Fabrication Information Modeling: Closing the gap between Building Information Modeling and Digital Fabrication appeared first on Additive Manufacturing in Construction (AMC) TRR277.

]]> 2021 |Slepicka, M.; Vilgertshofer, S.; Borrmann, A.: Fabrication Information Modeling: Closing the gap between Building Information Modeling and Digital Fabrication, In: Proceedings of the 38th ISARC, Dubai, UAE, 2021, P. 9-16, DOI: https://doi.org/10.22260/ISARC2021/0004

 

The post Fabrication Information Modeling: Closing the gap between Building Information Modeling and Digital Fabrication appeared first on Additive Manufacturing in Construction (AMC) TRR277.

]]> M. Sc. Simon Vilgertshofer https://amc-trr277.de/trr277-people/m-sc-simon-vilgertshofer/ Fri, 26 Nov 2021 07:50:17 +0000 http://amc-trr277.de/?post_type=trr277-people&p=3734 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.

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M. Sc. Simon Vilgertshofer

Current location: TU München
Institute: Chair of Computational Modeling and Simulation
OrcidiD: 0000-0003-4271-2076

simon.vilgertshofer@tum.de

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.

Project(s)

Project C 01

Bridging Scales – From Geometric Part Details to Construction Elements

Project C 04

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

Publications

2022 | M. Slepicka, S. Vilgertshofer, A. Borrmann: Fabrication information modeling: interfacing building information modeling with digital fabrication. In: Construction Robotics (2022) volume 6, pages 87–99, doi: 10.1007/s41693-022-00075-2​

2021 |Slepicka, M.; Vilgertshofer, S.; Borrmann, A.: Fabrication Information Modeling: Closing the gap between Building Information Modeling and Digital Fabrication, In: Proceedings of the 38th ISARC, Dubai, UAE, 2021, P. 9-16, DOI: https://doi.org/10.22260/ISARC2021/0004

 

2021 | L. Kolbeck, S. Vilgertshofer, J. Abualdenien, A. Borrmann: Graph Rewriting Techniques in Engineering Design. In: Frontiers in Built Environment (7), (2021) 815153, doi: 10.3389/fbuil.2021.815153​

The post M. Sc. Simon Vilgertshofer appeared first on Additive Manufacturing in Construction (AMC) TRR277.

]]> Graph Rewriting Techniques in Engineering Design https://amc-trr277.de/amc-publikation/implementation-of-a-surrogate-model-for-a-novel-path-based-finite-element-simulation-for-additive-manufacturing-processes-in-construction-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2-2/ Tue, 14 Nov 2023 09:12:50 +0000 https://amc-trr277.de/?post_type=amc-publikation&p=6898 2021 | L. Kolbeck, S. Vilgertshofer, J. Abualdenien, A. Borrmann: Graph Rewriting Techniques in Engineering Design. In: Frontiers in Built Environment (7), (2021) 815153, doi: 10.3389/fbuil.2021.815153​

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]]> 2021 | L. Kolbeck, S. Vilgertshofer, J. Abualdenien, A. Borrmann: Graph Rewriting Techniques in Engineering Design. In: Frontiers in Built Environment (7), (2021) 815153, doi: 10.3389/fbuil.2021.815153​

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