Inverse problems with the digital image correlation: approach and applications
A viable approach to solve inverse problems in elasticity is proposed. It is based on regression algorithms to estimate materials and/or loading parameters by fitting the experimentally-evaluated displacement field to representative analytical solutions. Displacements are measured by the digital...
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| Format: | Article |
| Language: | English |
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Gruppo Italiano Frattura
2021-06-01
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| Series: | Fracture and Structural Integrity |
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| Online Access: | https://www.fracturae.com/index.php/fis/article/view/3129 |
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| author | Emanuele Sgambitterra Fabrizio Niccoli |
| author_facet | Emanuele Sgambitterra Fabrizio Niccoli |
| author_sort | Emanuele Sgambitterra |
| collection | DOAJ |
| description | A viable approach to solve inverse problems in elasticity is proposed. It is based on regression algorithms to estimate materials and/or loading parameters by fitting the experimentally-evaluated displacement field to representative analytical solutions.
Displacements are measured by the digital image correlation (DIC) technique and they are used as input for numerical procedures able to minimize the estimation errors of the unknowns and to quantify the unavoidable rigid body motions of the samples/components. In addition, thanks to ad-hoc developed iterative algorithms, non-linear phenomena related to high and localized stress/strain states, can be captured successfully. This latter represents a relevant novelty of the methodology as it allows to investigate plasticity-induced mechanisms in solid mechanics which are impossible to analyze with more traditional DIC-based approaches.
Three different case studies are considered: 1) estimation of the stress intensity factor in fracture mechanics problems, 2) estimation of the elastic properties of a material by the Brazilian tests, 3) estimation of the contact pressure generated by thermally activated shape memory alloy (SMA) rings used for pipe coupling.
The reliability and the accuracy of the method is demonstrated through systematic comparisons of the results with conventional techniques in experimental mechanics. |
| format | Article |
| id | doaj-art-4f029ece237340738073bcad73db1447 |
| institution | Kabale University |
| issn | 1971-8993 |
| language | English |
| publishDate | 2021-06-01 |
| publisher | Gruppo Italiano Frattura |
| record_format | Article |
| series | Fracture and Structural Integrity |
| spelling | doaj-art-4f029ece237340738073bcad73db14472025-01-03T01:02:48ZengGruppo Italiano FratturaFracture and Structural Integrity1971-89932021-06-011557Inverse problems with the digital image correlation: approach and applicationsEmanuele Sgambitterra0Fabrizio Niccoli1University of Calabria, Department of Mechanical, Energy and Management Engineering, 87036, Rende, ItalyEuropean Organization for Nuclear Research, Esplanade des Particules 1, 1211 Meyrin, Switzerland A viable approach to solve inverse problems in elasticity is proposed. It is based on regression algorithms to estimate materials and/or loading parameters by fitting the experimentally-evaluated displacement field to representative analytical solutions. Displacements are measured by the digital image correlation (DIC) technique and they are used as input for numerical procedures able to minimize the estimation errors of the unknowns and to quantify the unavoidable rigid body motions of the samples/components. In addition, thanks to ad-hoc developed iterative algorithms, non-linear phenomena related to high and localized stress/strain states, can be captured successfully. This latter represents a relevant novelty of the methodology as it allows to investigate plasticity-induced mechanisms in solid mechanics which are impossible to analyze with more traditional DIC-based approaches. Three different case studies are considered: 1) estimation of the stress intensity factor in fracture mechanics problems, 2) estimation of the elastic properties of a material by the Brazilian tests, 3) estimation of the contact pressure generated by thermally activated shape memory alloy (SMA) rings used for pipe coupling. The reliability and the accuracy of the method is demonstrated through systematic comparisons of the results with conventional techniques in experimental mechanics.https://www.fracturae.com/index.php/fis/article/view/3129Digital image correlationOver-deterministic methodFracture MechanicsBrazilian diskPipe coupling |
| spellingShingle | Emanuele Sgambitterra Fabrizio Niccoli Inverse problems with the digital image correlation: approach and applications Fracture and Structural Integrity Digital image correlation Over-deterministic method Fracture Mechanics Brazilian disk Pipe coupling |
| title | Inverse problems with the digital image correlation: approach and applications |
| title_full | Inverse problems with the digital image correlation: approach and applications |
| title_fullStr | Inverse problems with the digital image correlation: approach and applications |
| title_full_unstemmed | Inverse problems with the digital image correlation: approach and applications |
| title_short | Inverse problems with the digital image correlation: approach and applications |
| title_sort | inverse problems with the digital image correlation approach and applications |
| topic | Digital image correlation Over-deterministic method Fracture Mechanics Brazilian disk Pipe coupling |
| url | https://www.fracturae.com/index.php/fis/article/view/3129 |
| work_keys_str_mv | AT emanuelesgambitterra inverseproblemswiththedigitalimagecorrelationapproachandapplications AT fabrizioniccoli inverseproblemswiththedigitalimagecorrelationapproachandapplications |