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통계분석 알고리즘 프로그램을 활용한 동시 인상 3D 콘크리트 프린팅의 성능 분석

Performance Analysis of Simultaneous Liftable 3D Concrete Printing Based on Statistical Analysis Algorithm

  • Yoon-Chul Kim (Department of Civil and Environmental Engineering, Yonsei University) ;
  • Sung-Jo Kim (Department of Civil and Environmental Engineering, Yonsei University) ;
  • Bongsik Kim (Pentad Inc.) ;
  • Yongsoo Ji (Pentad Inc.) ;
  • Tong-Seok Han (Department of Civil and Environmental Engineering, Yonsei University)
  • 투고 : 2023.10.30
  • 심사 : 2023.11.07
  • 발행 : 2023.12.31

초록

본 논문에서는 다양한 분야에 적용할 수 있는 자동화 동시 인상 시스템을 3D 콘크리트 프린팅에 적용하여 동시 인상이 가능한 3D 콘크리트 프린팅 시스템으로 개발하였다. 개발된 시스템은 3D 콘크리트 프린팅 작업 중 측정되는 인상량을 피어슨 상관계수를 통해 분석하고, 유압시스템을 사분위수 기법으로 실시간 모니터링하여 안전하고 정밀한 인상이 가능하다. 이를 활용하면 3D 콘크리트 프린팅 구조물의 출력 품질을 확보함과 동시에 3D 콘크리트 프린팅의 규모보다 큰 구조물을 출력할 수 있다. 시스템의 성능을 평가하기 위해 기존의 3D 콘크리트 프린팅과 동시 인상이 가능한 3D 콘크리트 프린팅을 각각 이용하여 시편을 출력하였다. 출력된 시편은 3D 스캐너를 활용하여 측정하였다. 스캔한 시편의 층별 직경과 시편의 교차각을 측정하였으며, 분석을 통해 동시 인상이 가능한 3D 콘크리트 프린팅의 성능을 검증하였다.

In this study, an automated jack-up system, applicable to various fields, was employed for 3D concrete printing and developed as a simultaneous liftable 3D concrete printing system. This developed printing system enables safe and precise jack-up by monitoring the measured jack-up distance using Pearson correlation coefficient analysis and a hydraulic system with interquartile range analysis in real-time during 3D concrete printing operations. It is possible to secure the quality of 3D concrete printing structures, which is essential for expanding the application of 3D concrete printing to construct larger structures. Specimens were printed using both conventional 3D concrete printing and simultaneous liftable 3D concrete printing to evaluate the system performance. The printed specimens were investigated using a 3D scanner. The layer-wise diameter and angle of intersection of the scanned specimens were measured, and an analysis was performed to verify the advantages of the simultaneous liftable 3D concrete printing.

키워드

과제정보

본 연구는 국토교통과학기술진흥원 국토교통기술사업화(이어달리기 사업)의 지원을 받아(RS-2022-00143846) 수행되었습니다.

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