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Article: Framework to optimise two-dimensional DIC measurements at different orders of accuracy for concrete structures
Title | Framework to optimise two-dimensional DIC measurements at different orders of accuracy for concrete structures |
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Authors | |
Keywords | Digital image correlation Reinforcement corrosion CrackSeismic performance Concrete structures |
Issue Date | 2020 |
Publisher | Elsevier Ltd. The Journal's web site is located at http://www.journals.elsevier.com/structures |
Citation | Structures, 2020, v. 28, p. 93-105 How to Cite? |
Abstract | Despite the widespread application of digital image correlation (DIC) method in concrete structures, there is no standard procedure to systematically optimising the parameters of DIC. A framework is thus proposed in this paper to optimise two-dimensional (2D) measurements with DIC at different orders of accuracy required in concrete structure models. An accuracy analysis method acting as the core of the framework is introduced and illustrated through specific case studies on reinforcement corrosion, concrete crack and seismic performance of concrete structures, as well as an example of a specific subset size. The parameters presented in the case studies and the example can act as a sound reference for selections of parameters in using DIC for concrete structures. The framework can be used as a guideline for structural engineering researchers who use DIC to measure displacement and strain at different orders of accuracy required for concrete structures. |
Persistent Identifier | http://hdl.handle.net/10722/301256 |
ISSN | 2023 Impact Factor: 3.9 2023 SCImago Journal Rankings: 0.964 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | LIU, Q | - |
dc.contributor.author | LOOI, DTW | - |
dc.contributor.author | CHEN, HH | - |
dc.contributor.author | TANG, C | - |
dc.contributor.author | Su, RKL | - |
dc.date.accessioned | 2021-07-27T08:08:26Z | - |
dc.date.available | 2021-07-27T08:08:26Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Structures, 2020, v. 28, p. 93-105 | - |
dc.identifier.issn | 2352-0124 | - |
dc.identifier.uri | http://hdl.handle.net/10722/301256 | - |
dc.description.abstract | Despite the widespread application of digital image correlation (DIC) method in concrete structures, there is no standard procedure to systematically optimising the parameters of DIC. A framework is thus proposed in this paper to optimise two-dimensional (2D) measurements with DIC at different orders of accuracy required in concrete structure models. An accuracy analysis method acting as the core of the framework is introduced and illustrated through specific case studies on reinforcement corrosion, concrete crack and seismic performance of concrete structures, as well as an example of a specific subset size. The parameters presented in the case studies and the example can act as a sound reference for selections of parameters in using DIC for concrete structures. The framework can be used as a guideline for structural engineering researchers who use DIC to measure displacement and strain at different orders of accuracy required for concrete structures. | - |
dc.language | eng | - |
dc.publisher | Elsevier Ltd. The Journal's web site is located at http://www.journals.elsevier.com/structures | - |
dc.relation.ispartof | Structures | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Digital image correlation | - |
dc.subject | Reinforcement corrosion | - |
dc.subject | CrackSeismic performance | - |
dc.subject | Concrete structures | - |
dc.title | Framework to optimise two-dimensional DIC measurements at different orders of accuracy for concrete structures | - |
dc.type | Article | - |
dc.identifier.email | Su, RKL: klsu@hkucc.hku.hk | - |
dc.identifier.authority | Su, RKL=rp00072 | - |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1016/j.istruc.2020.08.056 | - |
dc.identifier.scopus | eid_2-s2.0-85090030255 | - |
dc.identifier.hkuros | 323655 | - |
dc.identifier.volume | 28 | - |
dc.identifier.spage | 93 | - |
dc.identifier.epage | 105 | - |
dc.identifier.isi | WOS:000595863900001 | - |
dc.publisher.place | United Kingdom | - |