Photogrammetry image-based approach for imperfect structure modelling and FE analysis - Publication - MOST Wiedzy

Search

Photogrammetry image-based approach for imperfect structure modelling and FE analysis

Abstract

This study aims to model and analyse imperfect tructures using real measurements, employing photogrammetry technique commonly used in the geodesy. The study highlights the capability of the photogrammetry in aiding the structural analysis of imperfect engineering objects. Firstly, the photogrammetry measurements of a stiffened plate are carried out using a specially designed for the purpose experimental stand. Then, the plate surface geometry and structural configuration are reconstructed using commercial software. The resulting cloud of points is transformed into a regular mesh with a controlled grid size using a specially developed algorithm. The geometry of a stiffened plate, with measured initial imperfections, is then transferred to a finite element model and analysed. The ultimate strength analysis of stiffened plates considering different imperfections modelling techniques is conducted. The results are compared with the one obtained for measured imperfections, and several conclusions are derived. The proposed methodology revealed to be cost-effective and can be applied in various branches of shipbuilding and ocean engineering.

Citations

  • 3

    CrossRef

  • 2

    Web of Science

  • 2

    Scopus

Cite as

Full text

full text is not available in portal

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
OCEAN ENGINEERING no. 223,
ISSN: 0029-8018
Language:
English
Publication year:
2021
Bibliographic description:
Wołoszyk K., Bielski P., Garbatov Y., Mikulski T.: Photogrammetry image-based approach for imperfect structure modelling and FE analysis// OCEAN ENGINEERING -Vol. 223, (2021), s.108665-
DOI:
Digital Object Identifier (open in new tab) 10.1016/j.oceaneng.2021.108665
Sources of funding:
  • Project
Verified by:
Gdańsk University of Technology

seen 65 times

Recommended for you

Meta Tags