ASSESSMENT OF 2D-DIC STOCHASTIC PATTERNS
Cost of experimental testing of materials and structures subjected to mechanical loading often constitutes a significant portion of a project budget. Therefore a collection of data in a maximum possible amount is desirable. Extensometers and strain-gauges attached to the specimen surface often fail...
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Format: | Article |
Language: | English |
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CTU Central Library
2017-11-01
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Series: | Acta Polytechnica CTU Proceedings |
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Online Access: | https://ojs.cvut.cz/ojs/index.php/APP/article/view/4616 |
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author | Jakub Antoš Václav Nežerka Michael Somr |
author_facet | Jakub Antoš Václav Nežerka Michael Somr |
author_sort | Jakub Antoš |
collection | DOAJ |
description | Cost of experimental testing of materials and structures subjected to mechanical loading often constitutes a significant portion of a project budget. Therefore a collection of data in a maximum possible amount is desirable. Extensometers and strain-gauges attached to the specimen surface often fail and cannot provide full-field information about the development of displacements and strains. Digital Image Correlation (DIC) is capable of providing such information. Unsuitable texture or artificially applied pattern, essential for DIC analysis, can spoil the DIC outcomes completely. An additional investment into preparation of new experimental testing can be avoided with the use of tools employing algorithms for stochastic pattern assessment. The development of such algorithms and their implementation into an open-source DIC software is the goal of the presented research. |
first_indexed | 2024-12-23T11:12:22Z |
format | Article |
id | doaj.art-9fbb6fa910cb4d2aa44e635dc7f78537 |
institution | Directory Open Access Journal |
issn | 2336-5382 |
language | English |
last_indexed | 2024-12-23T11:12:22Z |
publishDate | 2017-11-01 |
publisher | CTU Central Library |
record_format | Article |
series | Acta Polytechnica CTU Proceedings |
spelling | doaj.art-9fbb6fa910cb4d2aa44e635dc7f785372022-12-21T17:49:19ZengCTU Central LibraryActa Polytechnica CTU Proceedings2336-53822017-11-0113011010.14311/APP.2017.13.00013982ASSESSMENT OF 2D-DIC STOCHASTIC PATTERNSJakub Antoš0Václav Nežerka1Michael Somr2Czech Technical University in Prague, Faculty of Civil Engineering, Thákurova 7, 166 29 Prague 6, Czech RepublicCzech Technical University in Prague, Faculty of Civil Engineering, Thákurova 7, 166 29 Prague 6, Czech RepublicCzech Technical University in Prague, Faculty of Civil Engineering, Thákurova 7, 166 29 Prague 6, Czech RepublicCost of experimental testing of materials and structures subjected to mechanical loading often constitutes a significant portion of a project budget. Therefore a collection of data in a maximum possible amount is desirable. Extensometers and strain-gauges attached to the specimen surface often fail and cannot provide full-field information about the development of displacements and strains. Digital Image Correlation (DIC) is capable of providing such information. Unsuitable texture or artificially applied pattern, essential for DIC analysis, can spoil the DIC outcomes completely. An additional investment into preparation of new experimental testing can be avoided with the use of tools employing algorithms for stochastic pattern assessment. The development of such algorithms and their implementation into an open-source DIC software is the goal of the presented research.https://ojs.cvut.cz/ojs/index.php/APP/article/view/4616digital image correlation, stochastic pattern, full-field displacement |
spellingShingle | Jakub Antoš Václav Nežerka Michael Somr ASSESSMENT OF 2D-DIC STOCHASTIC PATTERNS Acta Polytechnica CTU Proceedings digital image correlation, stochastic pattern, full-field displacement |
title | ASSESSMENT OF 2D-DIC STOCHASTIC PATTERNS |
title_full | ASSESSMENT OF 2D-DIC STOCHASTIC PATTERNS |
title_fullStr | ASSESSMENT OF 2D-DIC STOCHASTIC PATTERNS |
title_full_unstemmed | ASSESSMENT OF 2D-DIC STOCHASTIC PATTERNS |
title_short | ASSESSMENT OF 2D-DIC STOCHASTIC PATTERNS |
title_sort | assessment of 2d dic stochastic patterns |
topic | digital image correlation, stochastic pattern, full-field displacement |
url | https://ojs.cvut.cz/ojs/index.php/APP/article/view/4616 |
work_keys_str_mv | AT jakubantos assessmentof2ddicstochasticpatterns AT vaclavnezerka assessmentof2ddicstochasticpatterns AT michaelsomr assessmentof2ddicstochasticpatterns |