Accurate geometric imperfection detection and quantification of cold-formed steel members from point clouds Nokta bulutlari kullanilarak hafif çelik elemanlardaki şekilsel kusurlarin doǧru tespit edilmesi ve boyutlandirilmasi


Creative Commons License

Erkal B.

Journal of the Faculty of Engineering and Architecture of Gazi University, vol.38, no.3, pp.1561-1575, 2023 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 38 Issue: 3
  • Publication Date: 2023
  • Doi Number: 10.17341/gazimmfd.1086437
  • Journal Name: Journal of the Faculty of Engineering and Architecture of Gazi University
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Art Source, Compendex, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.1561-1575
  • Keywords: automated imperfection detection, c-sectioned member, Cold-formed steel, geometric imperfection, point cloud
  • Hacettepe University Affiliated: Yes

Abstract

In recent years, the use of cold-formed steel (CFS) in low and medium-rise buildings has become widespread. CFS members have a high strength-to-weight ratio, and since the construction of the structures performed using these elements takes a short time, it offers an effective solution in terms of meeting the requirements of rapid construction. CFS construction has advantages as well as disadvantages, and one of these disadvantages is that the geometric imperfections that occur in the member during the manufacturing, transportation, and installation processes affect the element's behavior. This research focuses on accurately detecting and quantifying the geometric imperfections found in C-sectioned CFS members. Local and global imperfections in CFS members are determined using the improved automatic geometric imperfection detection and quantification method. The results obtained are compared with a previously developed, literature-based geometric imperfection detection and quantification method. As a result of this study, it is observed that the maximum and average geometric imperfection values calculated by the improved geometric imperfection detection and quantification method for all elements decreased by 50% or more, except for the geometric imperfections whose formulation remain same and which are not directly affected by the initial ideal geometric model placement process. It has been verified that the improved method accurately detects both local and global geometric imperfections.