Real-time quantification of damage in structural materials during mechanical testing
A novel methodology is introduced for quantifying the severity of damage created during testing in composite components. The method uses digital image correlation combined with image processing techniques to monitor the rate at which the strain field changes during mechanical tests. The methodology...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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The Royal Society
2020-03-01
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| Series: | Royal Society Open Science |
| Subjects: | |
| Online Access: | https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.191407 |
| _version_ | 1818161182831280128 |
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| author | W. J. R. Christian K. Dvurecenska K. Amjad J. Pierce C. Przybyla E. A. Patterson |
| author_facet | W. J. R. Christian K. Dvurecenska K. Amjad J. Pierce C. Przybyla E. A. Patterson |
| author_sort | W. J. R. Christian |
| collection | DOAJ |
| description | A novel methodology is introduced for quantifying the severity of damage created during testing in composite components. The method uses digital image correlation combined with image processing techniques to monitor the rate at which the strain field changes during mechanical tests. The methodology is demonstrated using two distinct experimental datasets, a ceramic matrix composite specimen loaded in tension at high temperature and nine polymer matrix composite specimens containing fibre-waviness defects loaded in bending. The changes in the strain field owing to damage creation are shown to be a more effective indicator that the specimen has reached its proportional limit than using load-extension diagrams. The technique also introduces a new approach to using experimental data for creating maps indicating the spatio-temporal distribution of damage in a component. These maps indicate where damage occurs in a component, and provide information about its morphology and its time of occurrence. This presentation format is both easier and faster to interpret than the raw data which, for some tests, can consist of tens of thousands of images. This methodology has the potential to reduce the time taken to interpret large material test datasets while increasing the amount of knowledge that can be extracted from each test. |
| first_indexed | 2024-12-11T16:13:43Z |
| format | Article |
| id | doaj.art-aa314555ec2047f395fae58b4228d34f |
| institution | Directory Open Access Journal |
| issn | 2054-5703 |
| language | English |
| last_indexed | 2024-12-11T16:13:43Z |
| publishDate | 2020-03-01 |
| publisher | The Royal Society |
| record_format | Article |
| series | Royal Society Open Science |
| spelling | doaj.art-aa314555ec2047f395fae58b4228d34f2022-12-22T00:59:00ZengThe Royal SocietyRoyal Society Open Science2054-57032020-03-017310.1098/rsos.191407191407Real-time quantification of damage in structural materials during mechanical testingW. J. R. ChristianK. DvurecenskaK. AmjadJ. PierceC. PrzybylaE. A. PattersonA novel methodology is introduced for quantifying the severity of damage created during testing in composite components. The method uses digital image correlation combined with image processing techniques to monitor the rate at which the strain field changes during mechanical tests. The methodology is demonstrated using two distinct experimental datasets, a ceramic matrix composite specimen loaded in tension at high temperature and nine polymer matrix composite specimens containing fibre-waviness defects loaded in bending. The changes in the strain field owing to damage creation are shown to be a more effective indicator that the specimen has reached its proportional limit than using load-extension diagrams. The technique also introduces a new approach to using experimental data for creating maps indicating the spatio-temporal distribution of damage in a component. These maps indicate where damage occurs in a component, and provide information about its morphology and its time of occurrence. This presentation format is both easier and faster to interpret than the raw data which, for some tests, can consist of tens of thousands of images. This methodology has the potential to reduce the time taken to interpret large material test datasets while increasing the amount of knowledge that can be extracted from each test.https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.191407damage assessmentorthogonal decompositionreal-time monitoringcomposite materialsdigital image correlation |
| spellingShingle | W. J. R. Christian K. Dvurecenska K. Amjad J. Pierce C. Przybyla E. A. Patterson Real-time quantification of damage in structural materials during mechanical testing Royal Society Open Science damage assessment orthogonal decomposition real-time monitoring composite materials digital image correlation |
| title | Real-time quantification of damage in structural materials during mechanical testing |
| title_full | Real-time quantification of damage in structural materials during mechanical testing |
| title_fullStr | Real-time quantification of damage in structural materials during mechanical testing |
| title_full_unstemmed | Real-time quantification of damage in structural materials during mechanical testing |
| title_short | Real-time quantification of damage in structural materials during mechanical testing |
| title_sort | real time quantification of damage in structural materials during mechanical testing |
| topic | damage assessment orthogonal decomposition real-time monitoring composite materials digital image correlation |
| url | https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.191407 |
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