Detection of cracks in refractory materials by an enhanced digital image correlation technique
Source abstract
Abstract
This paper is devoted to the study of the fracture behaviour of two industrial refractory materials thanks to the development of a new technique of digital image correlation (DIC). DIC, already known as a helpful and effective tool for the measurement of displacement and deformation fields in materials, has been adapted to take into account displacement discontinuities as cracks. The material transformation, usually assumed homogeneous inside each DIC subset, is thus more complex, while each subset can be cut in two parts with different kinematics. By this way, it is possible to automatically find the fracture paths and follow the crack geometries (length, opening) during the loading with a higher spatial resolution than the one obtained by standard DIC. After having presented the principle of the new technique, its metrological performances are assessed from synthetic images and the choice of crack detection criterion is discussed. The capacity of this new technique is shown through a comparative study with standard DIC. Its application is led on magnesia-spinel refractory materials, specifically to highlight and to characterize the evolution of kinematic fields (displacement and strain) observed at the surface of sample during a wedge splitting test typically used to quantify the work of fracture. We show that refractories with aggregates of iron aluminate spinel present a fracture mechanism with crack branching and can dissipate more energy thanks to a longer crack network.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Optical measurement and interference techniques · Structural Health Monitoring Techniques · Thermography and Photoacoustic Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (32)
Show source-provided references
1. Gogotsi GA, Groushevsky YL, Strelov KK (1978) The significance of non-elastic deformation in the fracture of heterogeneous ceramic materials. Ceramurg Int 4:113–11810.1016/0390-5519(78)90095-9 ↗
2. Harmuth H, Tschegg EK (1997) A fracture mechanics approach for the development of refractory materials with reduced brittleness. Fatigue Fract Eng Mater Struct 20:1585–160310.1111/j.1460-2695.1997.tb01513.x ↗
3. Huger M, Tessier-Doyen N, Chotard T, Gault C (2007) Microstructural effects associated to CTE mismatch for enhancing the thermal shock resistance of refractories: investigation by high temperature ultrasounds. CFI Ceram Forum Int 84:E93–E102
4. Bradt RC (1981) Problems and possibilities with cracks in ceramics. In: Carlsson R, Karlsson S (eds) Proceedings of 11th international conference on science of ceramics held at Stenungsund, Sweden, 14–17 June. Swedish Ceramic Society, Gothenburg, pp 349–360
5. Chu TC, Ranson WF, Sutton MA, Peters WH (1985) Applications of digital-image-correlation techniques to experimental mechanics. Exp Mech 25(3):232–24410.1007/BF02325092 ↗
6. Bruck HA, McNeill SR, Sutton MA, Peters WH (1989) Digital image correlation using Newton–Raphson method of partial differential correction. Exp Mech 29(3):261–26710.1007/BF02321405 ↗
7. Choi S, Shah SP (1997) Measurement of deformations on concrete subjected to compression using image correlation. Exp Mech 37(3):307–31310.1007/BF02317423 ↗
8. Pan B, Kemao Q, Xie H, Asundi A (2009) Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review. Meas Sci Technol 20(6):1–17
9. Viguié J, Dumont P, Mauret E, Rolland du Roscoat S, Vacher P, Desloges I, Bloch JF (2011) Analysis of the hygroexpansion of a lignocellulosic fibrous material by digital correlation of images obtained by X-ray synchrotron microtomography: application to a folding box board. J Mech Sci 46:4756–4769
10. Kravchenko OG, Kravchenko SG, Casares A (2015) Digital image correlation measurement of resin chemical and thermal shrinkage after gelation. J Mech Sci 50:5244–5252
11. Rethore J, Hild F, Roux S (2008) Extended digital image correlation with crack shape optimization. Int J Numer Methods Eng 73:248–27210.1002/nme.2070 ↗
12. Wang Y, Sutton M, Bruck H, Schreier H (2009) Quantitative error assessment in pattern matching: effects of intensity pattern noise, interpolation, strain and image contrast on motion measurements. Strain 45:160–17810.1111/j.1475-1305.2008.00592.x ↗
13. Bornert M, Brémand F, Doumalin P, Dupré J-C, Fazzini M, Grédiac M, Hild F, Mistou S, Molimard J, Orteu J-J, Robert L, Surrel Y, Vacher P, Wattrisse B (2009) Assessment of digital image correlation measurement errors: methodology and results. Exp Mech 49(3):353–37010.1007/s11340-008-9204-7 ↗
14. Barranger Y, Doumalin P, Dupré J-C, Germaneau A (2012) Strain measurement by digital image correlation: influence of two types of speckle patterns made from rigid or deformable marks. Strain 28(5):357–36510.1111/j.1475-1305.2011.00831.x ↗
15. Amiot F, Bornert M, Doumalin P, Dupre J-C, Fazzini M, Orteu J-J, Poilane C, Robert L, Toussaint E, Wattrisse B, Wienin JS (2013) Assessment of digital image correlation measurement accuracy in the ultimate error regime: main results of a collaborative benchmark. Strain 49(6):483–49610.1111/str.12054 ↗
16. Sutton MA, Helm JD, Boone ML (2001) Experimental study of crack growth in thin sheet 2024-T3 aluminum under tension–torsion loading. Int J Fract 109(3):285–30110.1023/A:1011014917851 ↗
17. Jin H, Lu WY, Haldar S, Bruck HA (2011) Microscale characterization of granular deformation near a crack tip. J Mech Sci 46:6596–6602
18. Mathieu F, Aimedieu P, Guimard J-M, Hild F (2013) Identification of interlaminar fracture properties of a composite laminate using local full-field kinematic measurements and finite element simulations. Compos A 49:203–21310.1016/j.compositesa.2013.02.015 ↗
19. Réthoré J, Estevez R (2013) Identification of a cohesive zone model from digital images at the micron-scale. J Mech Phys Solids 61:1407–142010.1016/j.jmps.2013.01.011 ↗
20. Zhang Q, Zhao J (2013) Determination of mechanical properties and full-field strain measurements of rock material under dynamic loads. Int J Rock Mech Min Sci 60:423–43910.1016/j.ijrmms.2013.01.005 ↗
21. Tracy J, Daly S, Sevener K (2015) Multiscale damage characterization in continuous fiber ceramic matrix composites using digital image correlation. J Mech Sci 50:5286–5299
22. Belrhiti Y, Pop O, Germaneau A, Doumalin P, Dupré J-C, Harmuth H, Huger M, Chotard T (2015) Investigation of the impact of micro-cracks on fracture behavior of magnesia products using wedge splitting test and digital image correlation. J Eur Ceram Soc 35(2):823–82910.1016/j.jeurceramsoc.2014.09.001 ↗
23. Dupré J-C, Doumalin P, Husseini HA, Germaneau A, Brémand F (2015) Displacement discontinuity or complex shape of sample: assessment of accuracy and adaptation of local DIC approach. Strain 51(5):391–40410.1111/str.12150 ↗
24. Nunes L, Reis J (2012) Estimation of crack-tip-opening displacement and crack extension of glass fiber reinforced polymer mortars using digital image correlation method. Mater Des 33:248–25310.1016/j.matdes.2011.07.051 ↗
25. Dai X, Yang F, Wang L, Zhang D, Pu Q, He X (2013) Load capacity evaluated from fracture initiation and onset of rapid propagation for cast iron by digital image correlation. Opt Laser Eng 51:1092–110110.1016/j.optlaseng.2013.03.012 ↗
26. Pan B, Wang Z, Lu Z (2010) Genuine full-field deformation measurement of an object with complex shape using reliability-guided digital image correlation. Opt Express 18(2):1011–102310.1364/OE.18.001011 ↗
27. Fagerholt E, Børvik T, Hopperstad OS (2013) Measuring discontinuous displacement fields in cracked specimens using. Opt Laser Eng 51:299–31010.1016/j.optlaseng.2012.09.010 ↗
28. Poissant J, Barthelat F (2010) A novel, “subset splitting” procedure for digital image. Exp Mech 50:353–36410.1007/s11340-009-9220-2 ↗
29. Sousa AMR, Xavier J, Morais JJL, Filipe VMJ, Vaz M (2011) Processing discontinuous displacement fields by a spatio–temporal. Opt Laser Eng 49:1402–141210.1016/j.optlaseng.2011.07.007 ↗
30. Tschegg EK (1986) Equipment and appropriate specimen shapes for tests to measure fracture values, Patent AT-390328
31. Tschegg EK (1991) New equipment for fracture tests on concrete. Mater Test 33:338–34210.1515/mt-1991-3311-1204 ↗
32. Bornert M, Doumalin P, Dupré J-C, Poilane C, Robert L, Toussaint E, Wattrisse B (2017) Shortcut in DIC error assessment induced by image interpolation used for subpixel shifting. Opt Laser Eng 91:124–13310.1016/j.optlaseng.2016.11.014 ↗