Integrating AEC Domain-Specific Multidisciplinary Knowledge for Informed and Interactive Feedback in Early Design Stages | TU Wien

Information

Publication Type: Conference Paper
Workgroup(s)/Project(s):
- Advanced Computational Design
Date: October 2023
ISBN: 978-3-031-32515-1
Publisher: Springer
Location: Cape Town
Lecturer: Julia Reisinger
Event: 19th International Conference on Computing in Civil and Building Engineering (ICCCBE 2022)
DOI: 10.1007/978-3-031-32515-1_12
Booktitle: Advances in Information Technology in Civil and Building Engineering: Proceedings of ICCCBE 2022 - Volume 2
Pages: 18
Volume: 358
Conference date: 26. October 2022 – 28. October 2022
Pages: 153 – 170
Keywords: Integrated Design, Early Design Stage, Mixed Reality Sketching, Shape Inference, Computational Design, Integration Platform, Digital Fabrication

Abstract

In the context of digitalization in the industry, a variety of technologies has been developed for system integration and enhanced team collaboration in the Architecture, Engineering and Construction (AEC) industry. Multidisciplinary design requirements are characterized by a high degree of complexity. Early design methods often rely on implicit or experiential design knowledge, whereas contemporary digital design tools mostly reflect domain-specific silo thinking with time-consuming iterative design processes. Yet, the early design stages hold the greatest potential for design optimization. This paper presents a framework of a multidisciplinary computational integration platform for early design stages that enables integration of AEC domain-specific methods from architecture, engineering, mathematics and computer science. The platform couples a semantic integrative mixed reality sketching application to a shape inference machine-learning based algorithm to link methods for different computation, simulation and digital fabrication tasks. A proof of concept of the proposed framework is presented for the use case of a freeform geometry wall. Future research will explore the potential of the framework to be extended to larger building projects with the aim to connect the method into BIM-processes.

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BibTeX

@inproceedings{reisinger-2023-iad,
  title =      "Integrating AEC Domain-Specific Multidisciplinary Knowledge
               for Informed and Interactive Feedback in Early Design Stages",
  author =     "Julia Reisinger and Shervin Rasoulzadeh and B\'{a}lint
               Istvan Kov\'{a}cs and Peter Ferschin and Khrystyna
               Vasylevska and Michael Hensel and Iva Kovacic and Michael
               Wimmer",
  year =       "2023",
  abstract =   "In the context of digitalization in the industry, a variety
               of technologies has been developed for system integration
               and enhanced team collaboration in the Architecture,
               Engineering and Construction (AEC) industry.
               Multidisciplinary design requirements are characterized by a
               high degree of complexity. Early design methods often rely
               on implicit or experiential design knowledge, whereas
               contemporary digital design tools mostly reflect
               domain-specific silo thinking with time-consuming iterative
               design processes. Yet, the early design stages hold the
               greatest potential for design optimization. This paper
               presents a framework of a multidisciplinary computational
               integration platform for early design stages that enables
               integration of AEC domain-specific methods from
               architecture, engineering, mathematics and computer science.
               The platform couples a semantic integrative mixed reality
               sketching application to a shape inference machine-learning
               based algorithm to link methods for different computation,
               simulation and digital fabrication tasks. A proof of concept
               of the proposed framework is presented for the use case of a
               freeform geometry wall. Future research will explore the
               potential of the framework to be extended to larger building
               projects with the aim to connect the method into
               BIM-processes.",
  month =      oct,
  isbn =       "978-3-031-32515-1",
  publisher =  "Springer",
  location =   "Cape Town",
  event =      "19th International Conference on Computing in Civil and
               Building Engineering (ICCCBE 2022)",
  doi =        "10.1007/978-3-031-32515-1_12",
  booktitle =  "Advances in Information Technology in Civil and Building
               Engineering: Proceedings of ICCCBE 2022 - Volume 2",
  pages =      "18",
  volume =     "358",
  pages =      "153--170",
  keywords =   "Integrated Design, Early Design Stage, Mixed Reality
               Sketching, Shape Inference, Computational Design,
               Integration Platform, Digital Fabrication",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2023/reisinger-2023-iad/",
}