Automated Framework for the Optimisation of Spatial Layouts for Concrete Structures Reinforced with Robotic Filament Winding

Robin Oval (Lead / Corresponding author), Eduardo Costa, Diana Thomas-McEwen, Saverio Spadea, John Orr, Paul Shepherd

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)
201 Downloads (Pure)

Abstract

Concrete is a major contributor to the environmental impact of the construction industry, due to its cement content but also its reinforcement. Reinforcement has a significant contribution because of construction rationalisation, resorting to regular mats or cages of steel bars, despite layout optimisation algorithms and additive-manufacturing technologies. This paper presents an automated framework, connecting design and fabrication requirements for the optimisation of spatial layouts as of reinforcement of concrete structures, by the means of robotic filament winding.
Original languageEnglish
Title of host publicationProceedings of the 37th International Symposium on Automation and Robotics in Construction (ISARC 2020)
Subtitle of host publicationFrom Demonstration to Practical Use - To New Stage of Construction Robot -
EditorsKazuyoshi Tateyama, Kazuo Ishii, Fumihiro Inoue
PublisherInternational Association for Automation and Robotics in Construction
Pages1541-1548
Number of pages9
Edition1
ISBN (Electronic)9789529436347
DOIs
Publication statusPublished - 2020
EventISARC 2020: The 37th International Symposium on Automation and Robotics in Construction - Kitakyshu, Japan
Duration: 27 Oct 202028 Oct 2020
http://www.iaarc.org/isarc2020

Conference

ConferenceISARC 2020
Country/TerritoryJapan
CityKitakyshu
Period27/10/2028/10/20
Internet address

Keywords

  • Automated construction
  • Concrete structure
  • Reinforced concrete
  • Strut-and-tie models
  • Layout optimisation
  • Wound reinforcement
  • Digital fabrication
  • Additive manufacturing
  • Robotics
  • Robotic filament winding
  • 3D winding
  • Coreless winding
  • Trajectory planning

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