Fracture and Structural Integrity e-ISSN 1971-8993 Open access
Fracture Vol. 15, No. 57 (2021)

Inverse problems with the digital image correlation: approach and applications

Author and affiliation details
  • Emanuele Sgambitterra Corresponding author University of Calabria, Department of Mechanical, Energy and Management Engineering, 87036, Rende, Italy emanuele.sgambitterra@unical.it
  • Fabrizio Niccoli European Organization for Nuclear Research, Esplanade des Particules 1, 1211 Meyrin, Switzerland
DOI
10.3221/IGF-ESIS.57.22
Pages
300-320
Published
Licence
CC BY 4.0

Abstract

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.

Keywords

Article history

  1. ReceivedUntil the next stage: 2 days
  2. AcceptedUntil the next stage: 12 days
  3. Published

How to cite

APA

Sgambitterra, E., & Niccoli, F. (2021). Inverse problems with the digital image correlation: approach and applications. Fracture and Structural Integrity, 15(57), 300–320. https://doi.org/10.3221/IGF-ESIS.57.22

IEEE

E. Sgambitterra and F. Niccoli, “Inverse problems with the digital image correlation: approach and applications,” Fracture and Structural Integrity, vol. 15, no. 57, pp. 300–320, 2021, doi: 10.3221/IGF-ESIS.57.22.

MLA

Sgambitterra, Emanuele, and Fabrizio Niccoli. “Inverse problems with the digital image correlation: approach and applications.” Fracture and Structural Integrity, vol. 15, no. 57, 2021, pp. 300–320. https://doi.org/10.3221/IGF-ESIS.57.22.

Chicago

Sgambitterra, Emanuele, and Fabrizio Niccoli. 2021. “Inverse problems with the digital image correlation: approach and applications.” Fracture and Structural Integrity 15 (57): 300–320. https://doi.org/10.3221/IGF-ESIS.57.22.

Harvard

Sgambitterra, E. and Niccoli, F. (2021) ‘Inverse problems with the digital image correlation: approach and applications’, Fracture and Structural Integrity, 15(57), pp. 300–320. doi: 10.3221/IGF-ESIS.57.22.

Vancouver

Sgambitterra E, Niccoli F. Inverse problems with the digital image correlation: approach and applications. Fracture and Structural Integrity. 2021;15(57):300-320. doi:10.3221/IGF-ESIS.57.22

BibTeX

@article{sgambitterra2021, author = {Sgambitterra, Emanuele and Niccoli, Fabrizio}, title = {Inverse problems with the digital image correlation: approach and applications}, journal = {Fracture and Structural Integrity}, year = {2021}, volume = {15}, number = {57}, pages = {300--320}, doi = {10.3221/IGF-ESIS.57.22}, url = {https://doi.org/10.3221/IGF-ESIS.57.22}, issn = {1971-8993} }

RIS

TY - JOUR AU - Sgambitterra, Emanuele AU - Niccoli, Fabrizio TI - Inverse problems with the digital image correlation: approach and applications JO - Fracture and Structural Integrity T2 - Fracture and Structural Integrity PY - 2021 DA - 2021/06/22 VL - 15 IS - 57 SP - 300 EP - 320 DO - 10.3221/IGF-ESIS.57.22 UR - https://doi.org/10.3221/IGF-ESIS.57.22 SN - 1971-8993 ER -

Licence

Creative Commons Attribution 4.0 International

May be shared and adapted, provided appropriate credit is given. Copyright © 2021 Emanuele Sgambitterra, Fabrizio Niccoli.

Copyright 
Authors are allowed to retain both the copyright and the publishing rights of their articles without restrictions.  

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