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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Main Authors: Jakub Antoš, Václav Nežerka, Michael Somr
Format: Article
Language:English
Published: Czech Technical University in Prague 2017-11-01
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.
format Article
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institution Kabale University
issn 2336-5382
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publishDate 2017-11-01
publisher Czech Technical University in Prague
record_format Article
series Acta Polytechnica CTU Proceedings
spelling doaj-art-9fbb6fa910cb4d2aa44e635dc7f785372025-08-20T03:57:03ZengCzech Technical University in PragueActa 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