Michael WimmerORCID iD, Iva KovacicORCID iD, Peter Ferschin, Florian Rist, Michael HenselORCID iD, Kristina Schinegger, Stefan Rutzinger, Hannes KaufmannORCID iD, Martin KilianORCID iD, Christian Müller, Ivan IzmestievORCID iD, Georg Nawratil, Josef Füssl, Milena StavricORCID iD, David HahnORCID iD, Georg Suter
Advanced Computational Design – digitale Methoden für die frühe Entwurfsphase
Bautechnik, 99(10):720-730, August 2022.

Information

  • Publication Type: Journal Paper (without talk)
  • Workgroup(s)/Project(s):
  • Date: August 2022
  • DOI: 10.1002/bate.202200057
  • ISSN: 1437-0999
  • Journal: Bautechnik
  • Number: 10
  • Open Access: no
  • Pages: 11
  • Volume: 99
  • Publisher: ERNST & SOHN
  • Pages: 720 – 730
  • Keywords: Building materials, CAD – IT/Automatical/CAD, design interaction, design methodology, Digital design/Optimization, digitalization, form finding, simulation

Abstract

Advanced Computational Design. The SFB Advanced Computational Design addresses the research question of how to advance design tools and processes through multi- and interdisciplinary basic research. We will develop advanced computational design tools in order to improve design quality and efficiency of processes in architecture and construction. The proposed research is structured in three areas: design methodology (A1), visual and haptic design interaction (A2) and form finding (A3). A1 focuses on the conceptual basis for new digital methods of design based on machine learning. A1 also acts as a platform for integrating and evaluating the computational tools and methods developed in A2 and A3. A2 investigates real-time global-illumination and optimization algorithms for lighting design, as well as a new method for large-scale haptic interactions in virtual reality. In A3, form finding will be explored regarding geometric, mechanical and material constraints, in particular: paneling of complex shapes by patches of certain surface classes while optimizing the number of molds; algorithms for finding new transformable quad-surfaces; mechanical models for an efficient simulation of bio-composite material systems. Furthermore, new ways of form finding will be explored through physical experiments, which will allow for reconsidering model assumptions and constraints, validating the developed algorithmic approaches, and finding new ones.

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BibTeX

@article{wimmer-2022-acd,
  title =      "Advanced Computational Design – digitale Methoden f\"{u}r
               die fr\"{u}he Entwurfsphase",
  author =     "Michael Wimmer and Iva Kovacic and Peter Ferschin and
               Florian Rist and Michael Hensel and Kristina Schinegger and
               Stefan Rutzinger and Hannes Kaufmann and Martin Kilian and
               Christian M\"{u}ller and Ivan Izmestiev and Georg Nawratil
               and Josef F\"{u}ssl and Milena Stavric and David Hahn and
               Georg Suter",
  year =       "2022",
  abstract =   "Advanced Computational Design. The SFB Advanced
               Computational Design addresses the research question of how
               to advance design tools and processes through multi- and
               interdisciplinary basic research. We will develop advanced
               computational design tools in order to improve design
               quality and efficiency of processes in architecture and
               construction. The proposed research is structured in three
               areas: design methodology (A1), visual and haptic design
               interaction (A2) and form finding (A3). A1 focuses on the
               conceptual basis for new digital methods of design based on
               machine learning. A1 also acts as a platform for integrating
               and evaluating the computational tools and methods developed
               in A2 and A3. A2 investigates real-time global-illumination
               and optimization algorithms for lighting design, as well as
               a new method for large-scale haptic interactions in virtual
               reality. In A3, form finding will be explored regarding
               geometric, mechanical and material constraints, in
               particular: paneling of complex shapes by patches of certain
               surface classes while optimizing the number of molds;
               algorithms for finding new transformable quad-surfaces;
               mechanical models for an efficient simulation of
               bio-composite material systems. Furthermore, new ways of
               form finding will be explored through physical experiments,
               which will allow for reconsidering model assumptions and
               constraints, validating the developed algorithmic
               approaches, and finding new ones.",
  month =      aug,
  doi =        "10.1002/bate.202200057",
  issn =       "1437-0999",
  journal =    "Bautechnik",
  number =     "10",
  pages =      "11",
  volume =     "99",
  publisher =  "ERNST & SOHN",
  pages =      "720--730",
  keywords =   "Building materials, CAD – IT/Automatical/CAD, design
               interaction, design methodology, Digital
               design/Optimization, digitalization, form finding,
               simulation",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2022/wimmer-2022-acd/",
}