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Rock Mechanics and Rock Engineering

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13.07.2022 | Original Paper

An Adaptive and Reliable Guided Digital Volume Correlation Algorithm for Sandstone Based on 3D Scale-Invariant Feature Transform

verfasst von: Haizhou Liu, Lingtao Mao, Yang Ju, Fu-pen Chiang

Erschienen in: Rock Mechanics and Rock Engineering | Ausgabe 10/2022

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Abstract

The digital volume correlation (DVC) method combined with X-ray computed tomography has evolved into a powerful technique for the interior deformation measurement of sandstone. The accuracy and precision of DVC measurements are influenced by the subset size and initial displacement estimate. In routine implementation, the subset size, which generally is not exact, especially for the complex heterogeneous deformation in sandstone, has to be fixed and defined by users according to prior experience. Furthermore, nearly all the existing methods for estimating the initial displacement estimate the displacement of a single calculation point and seldom estimate the initial displacements of all calculation points at once. Finding the optimal subset size and a reliable displacement initial displacement for all calculation points is, therefore, highly desirable to achieve accurate measurement of the internal deformation field. This study propose an adaptive DVC by introducing a three-dimensional scale-invariant feature transform (3D SIFT) as an effective tool for determining the subset size and initial displacement estimate simultaneously. The superiority of the proposed adaptive DVC over the classic one using the fixed subset size with regard to measurement accuracy is verified using numerical experiments with different-sized granlues, which can simulate the microstructure of sandstone. The credibility of the initial displacement estimate is also analyzed through the true Brazilian test of red sandstone.

Vorheriger Artikel Cracking Behavior and Mechanism of Igneous Rocks Under Open-Ended Microwave Irradiation

Nächster Artikel Crack Interaction with a Frictional Interface in a Rock-Model Material: An Experimental Investigation

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Amitrano D (2006) Rupture by damage accumulation in rocks. Int J Fract 139(3–4):369–381. https://doi.org/10.1007/s10704-006-0053-zCrossRef

Bay BK, Smith TS, Fyhrie DP, Saad M (1999) Digital volume correlation: three-dimensional strain mapping using x-ray tomography. Exp Mech 39(3):217–226. https://doi.org/10.1007/BF02323555CrossRef

Bésuelle P, Desrues J, Raynaud S (2000) Experimental characterisation of the localisation phenomenon inside a Vosges sandstone in a triaxial cell. Int J Rock Mech Min Sci 37:1223–1237. https://doi.org/10.1016/S1365-1609(00)00057-5CrossRef

Cai LC, Yang JR, Dong SB, Jiang ZY (2021) GPU accelerated parallel reliability-guided digital volume correlation with automatic seed selection based on 3D SIFT. Parallel Comput 108:102824. https://doi.org/10.1016/j.parco.2021.102824CrossRef

Chen DJ, Chiang FP, Tan YS, Don HS (1993) Digital speckle-displacement measurement using a complex spectrum method. Appl Opt 32(11):1839–1849. https://doi.org/10.1364/AO.32.001839CrossRef

Chiang FP (2009) Super-resolution digital speckle photography for micro/nano measurements. Opt Lasers Eng 47(2):274–279. https://doi.org/10.1016/j.optlaseng.2008.06.012CrossRef

Dong N, Chui YP, Qu Y, Yang X, Qin J, Wong TT, Simon S, Pheng AH (2009) Reconstruction of volumetric ultrasound panorama based on improved 3D SIFT. Comput Med Imaging Graph 33(7):559–566. https://doi.org/10.1016/j.compmedimag.2009.05.006CrossRef

Fedele R, Galantucci L, Ciani A (2013) Global 2D digital image correlation for motion estimation in a finite element framework: a variational formulation and a regularized, pyramidal, multi-grid implementation. Int J Numer Methods Eng 96(12):739–762. https://doi.org/10.1002/nme.4577CrossRef

Fischler M, Bolles R (1981) Random sample consensus a paradigm for model fitting with applications to image analysis and automated cartography. Commun ACM 24(6):381–395. https://doi.org/10.1145/358669.358692CrossRef

Franck C, Hong S, Maskarinec S, Tirrell D, Ravichandran G (2007) Three-dimensional full-field measurements of large deformations in soft materials using confocal microscopy and digital volume correlation. Exp Mech 47(3):427–438. https://doi.org/10.1007/s11340-007-9037-9CrossRef

Gates M, Heath MT, Lambros J (2015a) High-performance hybrid CPU and GPU parallel algorithm for digital volume correlation. Int J High Perform Comput Appl 29(1):92–106. https://doi.org/10.1177/1094342013518807CrossRef

Gates M, Gonzalez J, Lambros J, Heath MT (2015b) Subset refinement for digital volume correlation: numerical and experimental applications. Exp Mech 55(1):245–259. https://doi.org/10.1007/s11340-014-9881-3CrossRef

Gnouma M, Ejbali R, Zaied M (2019) Video anomaly detection and localization in crowded scenes. CISIS 951:87–96. https://doi.org/10.1007/978-3-030-20005-3_9CrossRef

Härdle W, Müller M (1997) Multivariate and semiparametric kernel regression. SFB 373 Discussion Paper 26:357–391. https://doi.org/10.18452/3810

Horii H, Nemat-Nasser S (1985) Compression-induced microcrack growth in brittle solids: Axial splitting and shear failure. J Geophys Res Solid Earth 90:3105–3125. https://doi.org/10.1029/JB090iB04p03105CrossRef

Huang J, Pan X, Li S, Peng X, Xiong C, Fang J (2011) A digital volume correlation technique for 3-D deformation measurements of soft gels. Int J Appl Mech 3(2):335–354. https://doi.org/10.1142/S1758825111001019CrossRef

Jia ZQ, Xie HP, Zhang R, Li CB (2020) Acoustic emission characteristics and damage evolution of coal at different depths under triaxial compression. Rock Mech Rock Eng 53:2063–2076. https://doi.org/10.1007/s00603-019-02042-wCrossRef

Leclerc H, Périé JN, Roux S, Hild F (2010) Voxel-scale digital volume correlation. Exp Mech 51(4):479–490. https://doi.org/10.1007/s11340-010-9407-6CrossRef

Leclerc H, Périé JN, Hild F, Roux S (2012) Digital volume correlation: what are the limits to the spatial resolution? Mech Ind 13(6):361–371. https://doi.org/10.1051/meca/2012025CrossRef

Lowe D (2004) Distinctive image features from scale-invariant keypoints. Int J Comput vis 60:91–110. https://doi.org/10.1023/B:VISI.0000029664.99615.94CrossRef

Ma SP, Jin GC (2003) Digital speckle correlation method improved by genetic algorithm. Acta Mech Solida Sin 4(16):366–373. https://doi.org/10.1007/s10338-003-0147-3CrossRef

Mao LT, Hao N, An LQ, Chiang FP, Liu HB (2015) 3D mapping of carbon dioxide-induced strain in coal using digital volumetric speckle photography technique and X-ray computer tomography. Int J Coal Geol 147–148:115–125. https://doi.org/10.1016/j.coal.2015.06.015CrossRef

Mao LT, Liu HZ, Zhu Y, Zhu Z, Guo R, Chiang FP (2019a) 3D strain mapping of opaque materials using an improved digital volumetric speckle photography technique with X-ray microtomography. Appl Sci 9(7):1418. https://doi.org/10.3390/app9071418CrossRef

Mao LT, Yuan ZZ, Yang M, Liu HB, Chiang FP (2019b) 3D strain evolution in concrete using in situ X-ray computed tomography testing and digital volumetric speckle photography. Measurement 133:456–467. https://doi.org/10.1016/j.measurement.2018.10.049CrossRef

Mao LT, Zhu Y, Wang YW, Liu YF (2020) An improved digital volumetric speckle photography technique with X-ray microtomography and its applications to investigating strain localization in red sandstone. Rock Mech Rock Eng 53(3):1457–1466. https://doi.org/10.1007/s00603-019-01971-wCrossRef

Mao LT, Liu HZ, Wang YW, Ding LL, Ju Y, Chiang FP (2021) 3-D strain estimation in sandstone using improved digital volumetric speckle photography algorithm. Int J Rock Mech Min Sci. https://doi.org/10.1016/j.ijrmms.2021.104736CrossRef

McBeck J, Kobchenko M, Hall SA, Tudisco E, Cordonnier B, Meakin P, Renard F (2018) Investigating the onset of strain localization within anisotropic shale using digital volume correlation of time-resolved X-ray microtomography images. J Geophys Res Solid Earth 123(9):7509–7528. https://doi.org/10.1029/2018jb015676CrossRef

McBeck J, Ben-Zion Y, Renard F (2020) The mixology of precursory strain partitioning approaching brittle failure in rocks. Geophys J Int 221:1856–1872. https://doi.org/10.1093/gji/ggaa121CrossRef

Muja M, Lowe D (2009) Fast approximate nearest neighbors with automatic algorithm configuration. VISAPP 2(1):331–340. https://doi.org/10.5220/0001787803310340CrossRef

Pan B, Asundi A, Xie H, Gao J (2009a) Digital image correlation using iterative least squares and pointwise least squares for displacement field and strain field measurements. Opt Lasers Eng 47(7–8):865–874. https://doi.org/10.1016/j.optlaseng.2008.10.014CrossRef

Pan B, Qian K, Xie H, Asundi A (2009b) Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review. Meas Sci Technol. https://doi.org/10.1088/0957-0233/20/6/062001CrossRef

Pan B, Wang B, Wu D, Gilles L (2014) An efficient and accurate 3D displacements tracking strategy for digital volume correlation. Opt Lasers Eng 58:126–135. https://doi.org/10.1016/j.optlaseng.2014.02.003CrossRef

Pilch A, Mahajan A, Chu T (2004) Measurement of whole-field surface displacements and strain using a genetic algorithm based intelligent image correlation method. J Dyn Syst Meas Control 126(3):479–488. https://doi.org/10.1115/1.1789968CrossRef

Renard F, McBeck J, Cordonnier B, Zheng X, Kandula N, Sanchez JR, Kobchenko M, Noiriel C, Zhu WL, Meakin P, Fusseis F, Dysthe DK (2018) Dynamic in situ three-dimensional imaging and digital volume correlation analysis to quantify strain localization and fracture coalescence in sandstone. Pure Appl Geophys 176(3):1083–1115. https://doi.org/10.1007/s00024-018-2003-xCrossRef

Renard F, Kandula N, McBeck J, Cordonnier B (2020) Creep burst coincident with faulting in marble observed in 4-D synchrotron X-ray imaging triaxial compression experiments. J Geophys Res Solid Earth. https://doi.org/10.1029/2020jb020354CrossRef

Rister B (2017) Volumetric image registration from invariant keypoints. IEEE Trans Image Process 26(10):4900–4910. https://doi.org/10.1109/TIP.2017.2722689CrossRef

Schreier HW, Sutton MA (2002) Systematic errors in digital image correlation due to undermatched subset shape functions. Exp Mech 42(3):303–310. https://doi.org/10.1177/001448502321548391CrossRef

Scovanner P, Ali S, Shah M (2007) A 3-dimensional SIFT descriptor and its application to action recognition. In: ICIMCS proc. int. conf. internet multimedia, pp 357–360. https://doi.org/10.1145/1291233.1291311

Sheng LT, Hsiau SS, Hsu NW (2021) Experimental study of the dynamic behavior and segregation of density-bidisperse granular sliding masses at the laboratory scale. Landslides 18(6):2095–2110. https://doi.org/10.1007/s10346-021-01629-1CrossRef

Sutton MA, Wolters WJ, Peters W, Ranson WF, McNeill SR (1993) Determination of displacements using an improved digital image correlation method. Image vis Comput 1(3):133–139. https://doi.org/10.1016/0262-8856(83)90064-1CrossRef

Svahnberg H, Piazolo S (2010) The initiation of strain localisation in plagioclase-rich rocks: insights from detailed microstructural analyses. J Struct Geol 32(10):1404–1416. https://doi.org/10.1016/j.jsg.2010.06.011CrossRef

Tsai MY, Morton J, Oplinger DW (1996) In situ determination of adhesive shear moduli using strain gages. Exp Mech 36(4):297–304. https://doi.org/10.1007/BF02328570CrossRef

Wang B, Pan B (2018) Self-adaptive digital volume correlation for unknown deformation fields. Exp Mech. https://doi.org/10.1007/s11340-018-00455-2CrossRef

Wang Z, Vo M, Kieu H, Pan T (2014) Automated fast initial guess in digital image correlation. Strain 50(1):28–36. https://doi.org/10.1111/str.12063CrossRef

Wittevrongel L, Lava P, Lomov SV, Debruyne D (2015) A self-adaptive global digital image correlation algorithm. Exp Mech 55(2):361–378. https://doi.org/10.1007/s11340-014-9946-3CrossRef

Yang JR, Huang JW, Jiang ZY, Dong SB, Tang LQ, Liu YP, Liu ZJ, Zhou LC (2020) SIFT-aided path-independent digital image correlation accelerated by parallel computing. Opt Lasers Eng. https://doi.org/10.1016/j.optlaseng.2019.105964CrossRef

Yang JR, Huang JW, Jiang ZY, Dong SB, Tang LQ, Liu YP, Liu ZJ, Zhou LC (2021) 3D SIFT aided path independent digital volume correlation and its GPU acceleration. Opt Lasers Eng. https://doi.org/10.1016/j.optlaseng.2020.106323CrossRef

Yuan Y, Huang J, Peng X, Xiong C, Fang J, Yuan F (2014) Accurate displacement measurement via a self-adaptive digital image correlation method based on a weighted ZNSSD criterion. Opt Lasers Eng 52:75–85. https://doi.org/10.1016/j.optlaseng.2013.07.016CrossRef

Zhao L, Wu X, Niu D, Duan Z, Dang F (2020) Initial displacement estimation based on ESA in improved digital volume correlation and its application. IEEE Access 8:96227–96236. https://doi.org/10.1109/access.2020.2994080CrossRef

Zong Y, Liang J, Wang H, Ren M, Zhang M, Li W, Lu W, Ye M (2021) An intelligent and automated 3D surface defect detection system for quantitative 3D estimation and feature classification of material surface defects. Opt Lasers Eng. https://doi.org/10.1016/j.optlaseng.2021.106633CrossRef

Zou X, Pan B (2021) Full-automatic seed point selection and initialization for digital image correlation robust to large rotation and deformation. Opt Lasers Eng 138(8):106432. https://doi.org/10.1016/j.optlaseng.2020.106432CrossRef

Titel: An Adaptive and Reliable Guided Digital Volume Correlation Algorithm for Sandstone Based on 3D Scale-Invariant Feature Transform
verfasst von: Haizhou Liu
Lingtao Mao
Yang Ju
Fu-pen Chiang
Publikationsdatum: 13.07.2022
Verlag: Springer Vienna
Erschienen in: Rock Mechanics and Rock Engineering / Ausgabe 10/2022
Print ISSN: 0723-2632
Elektronische ISSN: 1434-453X
DOI: https://doi.org/10.1007/s00603-022-02986-6

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