Skip to main content

Finite Element Modeling of Thin-Walled Steel Structural Members from 3D Point Clouds

  • Conference paper
  • First Online:
Experimental Vibration Analysis for Civil Engineering Structures (EVACES 2023)

Abstract

Most steel structures are configured by assembling thin-walled structural members, and structural analyses of those structures are conducted using the finite element (FE) models adopting the shell elements. This study aims to construct a FE model of the thin-walled steel structural members from 3D point cloud data for use in the performance evaluations of existing structures. The experimental verification was conducted for a basic study; here, three specimens of steel members configured by assembling flat rectangular steel plates were prepared, and the point clouds were acquired by a 3D scanner. The first procedure of configuring 3D shell element geometry was the segmentation of each plate by adopting the k-means method. The neutral plane of each plate was then estimated by the principal component analysis. Furthermore, the identification of each plate size and the modeling of local geometry were performed by the edge extraction of point clouds. The FE model was constructed from the obtained neutral plane, and the validity of the models was verified by comparing the FE models created with the design parameters with the output from the static elastic analysis. It was shown that the FE model constructed from the PCD provides reasonable results for Mises stress distribution, maximum displacement and stress, and modal properties. In addition, the point cloud data of an actual steel plate girder bridge was acquired and took processing for verifications of applicability of the FE modeling procedure.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 279.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Ministry of Land, Infrastructure, Transport and Tourism Road Bureau: Guidelines for Periodic Inspection of Bridges (translation of Japanese) (2019). (in Japanese)

    Google Scholar 

  2. Suzuki, S., Miyamori, Y., Saito, T., Yamazaki, T., Dambiibaljir, M., Mikami, S.: Automated FE modeling from 3D point cloud model of a damaged steel structural member. J. Japan Soc. Civ. Eng. Ser. F3, 75(2), I_141–I_149 (2019). (in Japanese)

    Google Scholar 

  3. Zhang, C., Shu, J., Yu, K.: Automated nonlinear FE analysis of damaged RC beams based on 3D point clouds. In: Proceedings of the 10th International Conference on Structural Health Monitoring of Intelligent Infrastructure, ABS_497 (2021)

    Google Scholar 

  4. Banfi, F., Fai, S., Brumana, R.: BIM automation: advanced modeling generative process for complex structures. In: 26th International CIPA Symposium on Digital Workflows for Heritage Conservation 2017, pp. 9–16. Copernicus GmbH (2017)

    Google Scholar 

  5. Barazzetti, L., Banfi, F., Brumana, R., Gusmeroli, G., Previtali, M., Schiantarelli, G.: Cloud-to-BIM-to-FEM: structural simulation with accurate historic BIM from laser scans. Simul. Model. Pract. Theory 57, 71–87 (2015)

    Article  Google Scholar 

  6. Likas, A., Vlassis, N., Verbeek, J.J.: The global k-means clustering algorithm. Pattern Recogn. 36(2), 451–461 (2003)

    Article  Google Scholar 

  7. Pedregosa, F., et al.: Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825–2830 (2011)

    MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Tomoya Nakamizo or Mayuko Nishio .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Nakamizo, T., Nishio, M. (2023). Finite Element Modeling of Thin-Walled Steel Structural Members from 3D Point Clouds. In: Limongelli, M.P., Giordano, P.F., Quqa, S., Gentile, C., Cigada, A. (eds) Experimental Vibration Analysis for Civil Engineering Structures. EVACES 2023. Lecture Notes in Civil Engineering, vol 433. Springer, Cham. https://doi.org/10.1007/978-3-031-39117-0_76

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-39117-0_76

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-39116-3

  • Online ISBN: 978-3-031-39117-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics