Close-range photogrammetry for accurate deformation distribution measurement

Wang, JJ; Gowripalan, N; Li, J; Nguyen, VV

Close-range photogrammetry for accurate deformation distribution measurement

Wang, JJ

Gowripalan, N

Li, J

Nguyen, VV

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Publication Type:: Conference Proceeding
Citation:: Mechanics of Structures and Materials: Advancements and Challenges - Proceedings of the 24th Australasian Conference on the Mechanics of Structures and Materials, ACMSM24 2016, 2017, pp. 793 - 799
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Wang, JJ https://orcid.org/0000-0002-6282-0456	en_US
dc.contributor.author	Gowripalan, N https://orcid.org/0000-0001-6930-2056	en_US
dc.contributor.author	Li, J https://orcid.org/0000-0002-2526-3048	en_US
dc.contributor.author	Nguyen, VV	en_US
dc.date.issued	2017-01-01	en_US
dc.identifier.citation	Mechanics of Structures and Materials: Advancements and Challenges - Proceedings of the 24th Australasian Conference on the Mechanics of Structures and Materials, ACMSM24 2016, 2017, pp. 793 - 799	en_US
dc.identifier.isbn	9781138029934	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127465
dc.description.abstract	© 2017 Taylor & Francis Group, London. This paper introduces a methodology for improving the accuracy of Deformation Distribution Measurement (DDM) using close-range photogrammetry. After reviewing various algorithms for 2D Digital Image Correlation (DIC), Zero-Normalized Cross-Correlation (ZNCC) is selected for deformation measurement. The impact of several other factors on DIC measurement accuracy has been investigated, including the type of imaging sensors, the contrast and pattern of a specimen, and searching window size. Optimal option of these factors is proposed. The technique is utilized in the experiment of applying static loading on a replica of a concrete structural component used for Sydney Harbour Bridge. Test results presented in the paper include DIC measurements and validation data from conventional sensors.	en_US
dc.relation.ispartof	Mechanics of Structures and Materials: Advancements and Challenges - Proceedings of the 24th Australasian Conference on the Mechanics of Structures and Materials, ACMSM24 2016	en_US
dc.title	Close-range photogrammetry for accurate deformation distribution measurement	en_US
dc.type	Conference Proceeding
utslib.for	0912 Materials Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2017 Taylor & Francis Group, London. This paper introduces a methodology for improving the accuracy of Deformation Distribution Measurement (DDM) using close-range photogrammetry. After reviewing various algorithms for 2D Digital Image Correlation (DIC), Zero-Normalized Cross-Correlation (ZNCC) is selected for deformation measurement. The impact of several other factors on DIC measurement accuracy has been investigated, including the type of imaging sensors, the contrast and pattern of a specimen, and searching window size. Optimal option of these factors is proposed. The technique is utilized in the experiment of applying static loading on a replica of a concrete structural component used for Sydney Harbour Bridge. Test results presented in the paper include DIC measurements and validation data from conventional sensors.

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http://hdl.handle.net/10453/127465