README.txt ------------------------------------------------------------1. Title of Dataset------------------------------------------------------------Fabrication-aware structural form-finding for additive manufacturing: An equilibrium-based Approach - Data ------------------------------------------------------------2. Authors------------------------------------------------------------[List all authors with affiliations and optional contact details]Example:- Frederic Chovghi, Professorship of Structural Design, Department of Architecture, TUM School of Engineering and Design, Technical University of Munich, Germany- Christiane Richter, Professorship of Structural Design, Department of Architecture, TUM School of Engineering and Design, Technical University of Munich, Germany- Prof. Dr. Pierluigi D’Acunto, Professorship of Structural Design, Department of Architecture, TUM School of Engineering and Design, Technical University of Munich, Germany Contact: frederic.chovghi@tum.de ------------------------------------------------------------3. Description------------------------------------------------------------This dataset accompanies the paper *Fabrication-aware structural form-finding for additive manufacturing: An equilibrium-based approach*and contains all relevant data for reproducing and understanding the workflow from computational form finding to physical fabrication. Included files:1. Grasshopper Definition (.ghx) — The parametric model used for form finding.2. OBJ Files (.obj) — Generated and laser-scanned geometries for comparison.3. MP4 Files (.mp4) — Videos documenting the additive manufacturing / robotic printing process. ------------------------------------------------------------4. File Overview------------------------------------------------------------| File Type | Folder / File Name Example | Description ||------------|----------------------------|--------------|| .ghx | /scripts/form_finding_definition.ghx | Grasshopper file performing structural form finding. || .obj | /geometry/generated_form.obj /geometry/laser_scan.obj | Mesh geometries: computational vs. scanned. || .mp4 | /videos/printing_sequence_01.mp4 | Video documentation of the printing process. | ------------------------------------------------------------5. Software Requirements------------------------------------------------------------- Rhinoceros 7 or later- Grasshopper (pre-installed with Rhino)- Optional plug-ins: Karamba3D, Human- Any 3D viewer for .obj files (e.g., MeshLab, Rhino, Blender)- Standard media player for .mp4 files ------------------------------------------------------------6. Data Usage and Reproduction------------------------------------------------------------To reproduce the workflow:1. Open the .ghx file in Rhino + Grasshopper.2. Adjust parameters as needed (e.g., boundary conditions, loads, constraints).3. Export resulting geometries to .obj format.4. Compare exported .obj to the laser-scanned version using Rhino or CloudCompare.5. Review the .mp4 files for fabrication details and material behavior. ------------------------------------------------------------7. Structure of the Repository------------------------------------------------------------/formfinding_data/│├── scripts/│ └── CEM_REM_Dome.ghx│ └── CEM_REM_Dome_non_planar.ghx│├── geometry/│ ├── Digital_Model.obj│ └── Laser_Scan_Hyperboloid.obj│├── videos/│ ├── Print + REM - Dome.mp4│ ├── Print + REM - Hyperboloid.mp4│└── README.txt ------------------------------------------------------------8. File Naming Conventions------------------------------------------------------------- CEM_REM_*.ghx : Form-finding scripts- Digital_Model_*.obj : Computationally derived geometries- Laser_Scan_*.obj : Laser-scanned geometries- Video_*.mp4 : Recorded fabrication sequences ------------------------------------------------------------9. License------------------------------------------------------------This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.You are free to share and adapt the material with proper attribution. ------------------------------------------------------------10. Citation------------------------------------------------------------Please cite this dataset as:Chovghi F., Richter C., D’Acunto P., Fabrication-aware structural form-finding for additive manufacturing: An equilibrium-based Approach - Data, Zenodo, 2025, DOI: https://doi.org/10.5281/zenodo.17857879 ------------------------------------------------------------11. Funding and Acknowledgements------------------------------------------------------------The research was partially supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)under project number 414265976 – TRR 277: Additive Manufacturing in Construction. ------------------------------------------------------------12. Related Publications------------------------------------------------------------Chovghi F., Richter C., D’Acunto P., Fabrication-aware structural form-finding for additive manufacturing: An equilibrium-based approach, Automation in Construction, vol. 178, 2025, DOI: https://doi.org/10.1016/j.autcon.2025.106386 ------------------------------------------------------------End of README.txt------------------------------------------------------------