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ShapeOp—A Robust and Extensible Geometric Modelling Paradigm

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Abstract

We present ShapeOp, a robust and extensible geometric modelling paradigm. ShapeOp builds on top of the state-of-the-art physics solver (Bouaziz et al. in ACM Trans Graph 33:154:1–154:11, 2014). We discuss the main theoretical advantages of the underlying solver and how this influences our modelling paradigm. We provide an efficient open-source C++ implementation (www.shapeop.org) together with scripting interfaces to enable ShapeOp in Rhino/Grasshopper and potentially other tools. This implementation can also act as a template for future integration of computer graphics research. To evaluate the potential of ShapeOp we present various examples using our implementation and discuss potential implications on the design process.

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References

  • Attar R, Aish R, Stam J, Brinsmead D, Tessier A, Glueck M, Khan A (2009) Physicsbased generative design. In: CAAD futures conference, pp 231–244

    Google Scholar 

  • Bouaziz S, Deuss M, Schwartzburg Y, Weise T, Pauly M (2012) Shape-up: Shaping discrete geometry with projections. Comput Graph Forum 31(5):1657–1667

    Article  Google Scholar 

  • Bouaziz S, Martin S, Liu T, Kavan L, Pauly M (2014) Projective dynamics: fusing constraint projections for fast simulation. ACM Trans Graph 33(4):154:1–154:11

    Google Scholar 

  • Day AS (1965) An introduction to dynamic relaxation. Engineer 219:218221

    Google Scholar 

  • Deng B, Bouaziz S, Deuss M, Kaspar A, Schwartzburg Y, Pauly M (2015) Interactive design exploration for constrained meshes. Comput Aided Des 61:13–23

    Article  Google Scholar 

  • Kilian A, Ochsendorf J (2005) Particle-spring systems for structural form finding. J Int Assoc Shell Spat Struct 46(2):77–84

    Google Scholar 

  • Nocedal J, Wright S (2006) Numerical optimization, 2nd edn. Springer series in operations research and financial engineering, Springer, New York

    Google Scholar 

  • Piker D (2013) Kangaroo: form finding with computational physics. Architect Des 83(2):136–137

    Google Scholar 

  • Pottmann H, Liu Y, Wallner J, Bobenko A, Wang W (2007) Geometry of multi-layer freeform structures for architecture. ACM Trans Graph 26(3):1–11

    Google Scholar 

  • Pottmann H, Eigensatz M, Vaxman A, Wallner J (2015) Architectural geometry. Comput Graph 47:145–164

    Article  Google Scholar 

  • Senatore G, Piker D (2015) Interactive real-time physics: an intuitive approach to form-finding and structural analysis for design and education. Comput Aided Des 61:32–41

    Article  Google Scholar 

  • Tang C, Sun X, Gomes A, Wallner J, Pottmann H (2014) Form-finding with polyhedral meshes made simple. ACM Trans Graph 33(4):70:1–70:9

    Google Scholar 

  • Witkin A, Baraff D (1997) Physically based modeling: principles and practice. In: Siggraph ’97 Course notes

    Google Scholar 

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Acknowledgements

We thank the reviewers for their valuable comments. This work has been supported by Swiss National Science Foundation (SNSF) grant 200021 137626 and the Danish Council for Independent Research (DFF). This research has received funding from the European Research Council under the European Unions Seventh Framework Programme (FP/2007–2013) /ERC Grant Agreement 257453, ERC Starting Grant COSYM.

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Correspondence to Mario Deuss .

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Deuss, M., Deleuran, A.H., Bouaziz, S., Deng, B., Piker, D., Pauly, M. (2015). ShapeOp—A Robust and Extensible Geometric Modelling Paradigm. In: Thomsen, M., Tamke, M., Gengnagel, C., Faircloth, B., Scheurer, F. (eds) Modelling Behaviour. Springer, Cham. https://doi.org/10.1007/978-3-319-24208-8_42

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  • DOI: https://doi.org/10.1007/978-3-319-24208-8_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24206-4

  • Online ISBN: 978-3-319-24208-8

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