Dr Ahmed Mohamed A.Mohamed2@napier.ac.uk
Lecturer
Verification of the Photogrammetric Approach on the Torsion Test Method for Timber Beams
Mohamed, Ahmed; Uheida, Kal; Quan, Yanfang; Zhang, Hexin
Authors
Kal Uheida
Yanfang Quan
Prof Johnson Zhang j.zhang@napier.ac.uk
Professor
Abstract
The photogrammetric approach was proposed in this study to evaluate torsional behaviour of glulam timber beams during the torsion test. The main objectives of the experimental work were to investigate the applicability of the photogrammetric approach on the torsion test and to monitor more details of angles of twist of glulam timber beams subjected to torsional loading. Experimental tests were conducted on glulam timber beams subjected to torque, and the photogrammetric approaches as well as the inclinometers were employed to measure, respectively, the twists on the long and short sides of the cross section of the glulam specimens. The accuracy of the photogrammetric approach was validated by comparing the average rotations of the targets with those measured by the conventional inclinometer sensors. After validating the proposed approach, its measurements were compared with the inclinometer readings. The test results showed that the optical system allowed monitoring the rotations of the samples at different locations which would not be possible to obtain using the traditional techniques. The experimental results showed that there is a non-linearity from the measurement of the shear displacements along the long side of the cross-section. However, the average rotation shows clear agreements with the inclinometer readings.
Citation
Mohamed, A., Uheida, K., Quan, Y., & Zhang, H. (2022). Verification of the Photogrammetric Approach on the Torsion Test Method for Timber Beams. International Wood Products Journal, 13(1), 3-14. https://doi.org/10.1080/20426445.2021.1983690
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 16, 2021 |
Online Publication Date | Oct 7, 2021 |
Publication Date | 2022 |
Deposit Date | Sep 17, 2021 |
Publicly Available Date | Oct 7, 2021 |
Journal | International Wood Products Journal |
Print ISSN | 2042-6445 |
Electronic ISSN | 2042-6453 |
Publisher | Taylor & Francis |
Peer Reviewed | Peer Reviewed |
Volume | 13 |
Issue | 1 |
Pages | 3-14 |
DOI | https://doi.org/10.1080/20426445.2021.1983690 |
Keywords | Torsion test; Glulam beams; Inclinometer; Photogrammetric approach |
Public URL | http://researchrepository.napier.ac.uk/Output/2803077 |
Files
Verification of the photogrammetric approach on the torsion test method for timber beams
(3.9 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Copyright Statement
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
You might also like
A Low Cost Non-Contact and Non-Destructive Method for Evaluating the Variation of the Shear Modulus for Glued Laminated Timber Beams using a Photogrammetric Approach
(2015)
Presentation / Conference Contribution
Evaluation of the Shear Constant of a Timber Beam using a Photogrammetric Approach
(2011)
Presentation / Conference Contribution
Evaluate equivalent-sectional shear modulus for laminated glass beams using in torsion tests and photogrammetry method
(-0001)
Preprint / Working Paper
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search