A Novel Integrative Design Framework Combining 4D Sketching, Geometry Reconstruction, Micromechanics Material Modelling, and Structural Analysis | TU Wien

Information

Publication Type: Journal Paper (without talk)
Workgroup(s)/Project(s): not specified
Date: August 2023
Article Number: 102074
DOI: 10.1016/j.aei.2023.102074
ISSN: 1873-5320
Journal: Advanced Engineering Informatics
Volume: 57
Publisher: ELSEVIER SCI LTD
Keywords: 3D reconstruction, Biocomposite, Early-design stage, Finite element analysis, Machine learning, Material-informed, Micromechanics, Multiscale modelling, Sketch-based interface, Sketch-based modelling, Structural analysis

Abstract

State-of-the-art workflows within Architecture, Engineering, and Construction (AEC) are still caught in sequential planning processes. Digital design tools in this domain often lack proper communication between different stages of design and relevant domain knowledge. Furthermore, decisions made in the early stages of design, where sketching is used to initiate, develop, and communicate ideas, heavily impact later stages, resulting in the need for rapid feedback to the architectural designer so they can proceed with adequate knowledge about design implications. Accordingly, this paper presents research on a novel integrative design framework based on a recently developed 4D sketching interface, targeted for architectural design as a form-finding tool coupled with three modules: (1) a Geometric Modelling module, which utilises Points2Surf as a machine learning model for automatic surface mesh reconstruction from the point clouds produced by sketches, (2) a Material Modelling module, which predicts the mechanical properties of biocomposites based on multiscale micromechanics homogenisation techniques, and (3) a Structural Analysis module, which assesses the mechanical performance of the meshed structure on the basis of the predicted material properties using finite element simulations. The proposed framework is a step towards using material-informed design already in the early stages of design.

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BibTeX

@article{rasoulzadeh-2023-ani,
  title =      "A Novel Integrative Design Framework Combining 4D Sketching,
               Geometry Reconstruction, Micromechanics Material Modelling,
               and Structural Analysis",
  author =     "Shervin Rasoulzadeh and V. Senk and M. K\"{o}nigsberger and
               Julia Reisinger and Iva Kovacic and Josef F\"{u}ssl and
               Michael Wimmer",
  year =       "2023",
  abstract =   "State-of-the-art workflows within Architecture, Engineering,
               and Construction (AEC) are still caught in sequential
               planning processes. Digital design tools in this domain
               often lack proper communication between different stages of
               design and relevant domain knowledge. Furthermore, decisions
               made in the early stages of design, where sketching is used
               to initiate, develop, and communicate ideas, heavily impact
               later stages, resulting in the need for rapid feedback to
               the architectural designer so they can proceed with adequate
               knowledge about design implications. Accordingly, this paper
               presents research on a novel integrative design framework
               based on a recently developed 4D sketching interface,
               targeted for architectural design as a form-finding tool
               coupled with three modules: (1) a Geometric Modelling
               module, which utilises Points2Surf as a machine learning
               model for automatic surface mesh reconstruction from the
               point clouds produced by sketches, (2) a Material Modelling
               module, which predicts the mechanical properties of
               biocomposites based on multiscale micromechanics
               homogenisation techniques, and (3) a Structural Analysis
               module, which assesses the mechanical performance of the
               meshed structure on the basis of the predicted material
               properties using finite element simulations. The proposed
               framework is a step towards using material-informed design
               already in the early stages of design.",
  month =      aug,
  articleno =  "102074",
  doi =        "10.1016/j.aei.2023.102074",
  issn =       "1873-5320",
  journal =    "Advanced Engineering Informatics",
  volume =     "57",
  publisher =  "ELSEVIER SCI LTD",
  keywords =   "3D reconstruction, Biocomposite, Early-design stage, Finite
               element analysis, Machine learning, Material-informed,
               Micromechanics, Multiscale modelling, Sketch-based
               interface, Sketch-based modelling, Structural analysis",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2023/rasoulzadeh-2023-ani/",
}