Strain patterns of short span reinforced concrete beams under flexural loading: A comparison between distributed sensing and concrete damaged plasticity modelling
Article
Article Title | Strain patterns of short span reinforced concrete beams under flexural loading: A comparison between distributed sensing and |
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ERA Journal ID | 4925 |
Article Category | Article |
Authors | Udagedara, Minol (Author), Kumar, Arjun (Author), Herath, Madhubhashitha (Author), Hettiarachchi, Nandita (Author), Sooriyaarachchi, Harsha (Author) and Epaarachchi, Jayantha (Author) |
Journal Title | Journal of Intelligent Material Systems and Structures |
Journal Citation | 34 (10), p. 1123–1135 |
Number of Pages | 13 |
Year | 2023 |
Place of Publication | United Kingdom |
ISSN | 1045-389X |
1530-8138 | |
Digital Object Identifier (DOI) | https://doi.org/10.1177/1045389X221128764 |
Web Address (URL) | https://journals.sagepub.com/doi/abs/10.1177/1045389X221128764 |
Abstract | Strains beyond the elastic limit of concrete cause cracks in concrete structures. This study analysed distributed optical fibre sensor (DOFS) network strain data to identify excessive strain readings, locations, and strain patterns of four reinforced concrete (RC) beams. The strain variation inside the RC beams was investigated using a concrete damaged plasticity (CDP) based finite element analysis (FEA) model. The measured bottom surface and bottom rebar strain were considered for investigation. A three-point bending arrangement was used for the loading, and an optical backscatter reflectometer was used to measure the strain. By visual inspections, it has been found that the onset of hairline cracks at the locations of the higher strain readings. The maximum load applied was 16 kN and has not shown any yielding in strain reading acquired from bottom rebars. FEA results showed admissible agreement with the measured lower surface strain and lower rebar strain. Therefore, when developing a robust SHM system, a CDP-based FEA simulation is a valuable tool for data mining of strain data. Furthermore, the strain data extracted from CDP models can be used to train artificial intelligence based SHM models. |
Keywords | Structural health monitoring; Reinforced concrete structures; Distributed optical fibre sensing; Distributed strain measurement; Strain pattern; Concrete damaged plasticity |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 400599. Civil engineering not elsewhere classified |
401799. Mechanical engineering not elsewhere classified | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Institution of Origin | University of Southern Queensland |
Byline Affiliations | Centre for Future Materials |
School of Engineering | |
Uva Wellassa University of Sri Lanka, Sri Lanka | |
University of Ruhuna, Sri Lanka |
https://research.usq.edu.au/item/q7wv5/strain-patterns-of-short-span-reinforced-concrete-beams-under-flexural-loading-a-comparison-between-distributed-sensing-and-concrete-damaged-plasticity-modelling
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