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Applications of 3D scanning and digital image correlation in structural experiments

Author(s): (Department of Civil and Environmental Engineering Imperial College London London United Kingdom)
(Department of Civil and Environmental Engineering Imperial College London London United Kingdom)
(Department of Civil and Environmental Engineering Imperial College London London United Kingdom)
(Department of Civil and Structural Engineering The University of Sheffield Sheffield United Kingdom)
(Department of Civil and Environmental Engineering Imperial College London London United Kingdom)
Medium: journal article
Language(s): English
Published in: ce/papers, , n. 3-4, v. 6
Page(s): 1674-1679
DOI: 10.1002/cepa.2543
Abstract:

The primary aim of the present study is to explore the use, advantages and potential of two advanced data acquisition techniques – 3D scanning and digital image correlation (DIC), in the testing of metallic structures. 3D scanning is a novel method for capturing the full outer geometry of an object. It is being increasingly used in experimental studies for the determination of dimensional parameters and the characterisation of local and global imperfections, examples of which are given and discussed. Digital image correlation (DIC) is a rapidly evolving technology for the full‐field measurement of the displacements and strains over a surface. A brief introduction to DIC and its workflow is firstly provided. Example applications of DIC in various scales of experiments, including material tests, structural element tests and full‐scale structural system tests, are subsequently discussed. These new‐generation data acquisition techniques enable structural researchers to gain a deeper insight into the behaviour of metallic structures in experimental research.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1002/cepa.2543.
  • About this
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  • Reference-ID
    10766888
  • Published on:
    17/04/2024
  • Last updated on:
    17/04/2024
 
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