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Adaptive ultrasonic inspection of complex-shaped structures: From data acquisition to imaging algorithms

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  • Corresponding authors: hq.cao@siat.ac.cn (H.C.);  sf.guo@siat.ac.cn (S.G.)
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    1. Shape complexity poses significant challenges for ultrasonic inspection.

      Challenges lie in ultrasonic coupling, scanning control, and wave propagation.

      Various methods have been developed for data acquisition, modeling and imaging.

  • Complex-shaped structures are common in engineering components and prone to internal defect formation or even failure during manufacturing and service. Non-destructive ultrasonic inspection is an effective method for evaluation of manufacturing quality and in-service safety but faces challenges in ultrasonic coupling, ultrasound transmission and detection, surface conformal scanning control, and complex ultrasound propagation behavior brought by shape complexity of the tested structure. This review summarizes and addresses the challenges in adaptive ultrasonic inspection of complex-shaped structures, and discusses current developments in methodologies for solving such problems from the aspects of ultrasonic data acquisition, structure modeling, and defect imaging. Finally, future prospects for ultrasonic imaging of complex-shaped structures are proposed, including methods for inspecting ultra-complex and irregular surfaces, the development of highly flexible two-dimensional arrayed ultrasonic transducers, and the enhancement of imaging algorithms by simultaneously accounting for the influence of both macro/micro morphology and acoustic properties of the tested structure.
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  • [1] Bullinge O., Schnars U., Schulting D., et al. (2016). Laminographic inspection of large carbon fibre composite aircraft-structures at Airbus. WCNDT 2016:1668-1677. https://www.ndt.net/article/wcndt2016/papers/we1i3.pdf

    View in Article Google Scholar

    [2] Saniie J., Wang B. and Huang X. (2018). Information transmission through solids using ultrasound. IEEE IUS 2018:1−10. DOI:10.1109/ULTSYM.2018.8579702

    View in Article CrossRef Google Scholar

    [3] Teng L. and Zhou Z. (2022). A novel non-destructive testing method for turbine disks using dual array ultrasonic transducer. Sci. Rep. 12:9427. DOI:10.1038/s41598-022-12622-6

    View in Article CrossRef Google Scholar

    [4] Fong J. and Lowe M.J.S. (2004). Curvature effect on the properties of guided waves in plates. AIP Conf. Proc. 700:126−133. DOI:10.1063/1.1711615

    View in Article CrossRef Google Scholar

    [5] Hayashi T., Kawashima K., Sun Z., et al. (2005). Guided wave propagation mechanics across a pipe elbow. J. Pressure Vessel Technol. 127:322−327. DOI:10.1115/1.1990210

    View in Article CrossRef Google Scholar

    [6] Brath A.J., Simonetti F., Nagy P.B., et al. (2017). Guided wave tomography of pipe bends. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 64:847−858. DOI:10.1109/TUFFC.2017.2683259

    View in Article CrossRef Google Scholar

    [7] Yuan Q., Kato B., Fan K., et al. (2023). Phased array guided wave propagation in curved plates. Mech. Syst. Signal Proc. 185:109821. DOI:10.1016/j.ymssp.2022.109821

    View in Article CrossRef Google Scholar

    [8] Liu F., Liu S., Zhou Z., et al. (2022). Detailed characterisation and evaluation of composite stiffener R-zones based on mono-pulse ultrasonic reflection behavior. Ultrasonics 124:106732. DOI:10.1016/j.ultras.2022.106732

    View in Article CrossRef Google Scholar

    [9] Li W., Zhou Z. and Li Y. (2019). Inspection of butt welds for complex surface parts using ultrasonic phased array. Ultrasonics 96:75−82. DOI:10.1016/j.ultras.2019.02.011

    View in Article CrossRef Google Scholar

    [10] Wang J., Zhou Z., Li Y., et al. (2024). A high efficiency adaptive ultrasonic array imaging method with sensitivity correction for curved structures. Measurement 238:115322. DOI:10.1016/j.measurement.2024.115322

    View in Article CrossRef Google Scholar

    [11] Simonetti F. and Fox M. (2019). Experimental methods for ultrasonic testing of complex-shaped parts encased in ice. NDT E Int. 103:1−11. DOI:10.1016/j.ndteint.2019.01.008

    View in Article CrossRef Google Scholar

    [12] Simonetti F. (2023). Cryo-ultrasonic testing of curved components. NDT E Int. 137:102835. DOI:10.1016/j.ndteint.2023.102835

    View in Article CrossRef Google Scholar

    [13] Rau E., Grauvogl E., Manzke H., et al. (2006). Ultrasonic phased array testing of complex aircraft structures. ECNDT 2006:1-17. https://www.ndt.net/article/ecndt2006/doc/Tu.1.1.2.pdf

    View in Article Google Scholar

    [14] Hunter A.J., Drinkwater B.W. and Wilcox P.D. (2010). Autofocusing ultrasonic imagery for non-destructive testing and evaluation of specimens with complicated geometries. NDT E Int. 43:78−85. DOI:10.1016/j.ndteint.2009.09.001

    View in Article CrossRef Google Scholar

    [15] Jeune L.L., Robert S., Dumas P., et al. (2014). Adaptive ultrasonic imaging with the total focusing method for inspection of complex components immersed in water. AIP Conf. Proc. 1650:1037−1046. DOI:10.1063/1.4914712

    View in Article CrossRef Google Scholar

    [16] Luo Z., Cao H. and Lin L. (2019). Progress in study of phased array ultrasonic testing on CFRP radii in aerospace component. Aeronaut. Manuf. Technol. 62:67−75. DOI:10.16080/j.issn1671-833x.2019.14.067

    View in Article CrossRef Google Scholar

    [17] Chimenti D.E. (2014). Review of air-coupled ultrasonic materials characterization. Ultrasonics 54:1804−1816. DOI:10.1016/j.ultras.2014.02.006

    View in Article CrossRef Google Scholar

    [18] Hillger W., Oster R., Schuller J., et al. (2012). Automated air-coupled ultrasonic technique for the inspection of the EC145 tail boom. AeroNDT 2012:1-7. https://www.ndt.net/article/aero2012/papers/tu2b3.pdf

    View in Article Google Scholar

    [19] Vandenrijt J.F., Languy F., Thizy C., et al. (2018). Laser ultrasound flexible system for non-contact inspection of medium size and complex shaped composite structures made of carbon fiber reinforced polymer. Proceedings 2:455. DOI:10.3390/ICEM18-05377

    View in Article CrossRef Google Scholar

    [20] Pei C., Yi D., Liu T., et al. (2020). Fully noncontact measurement of inner cracks in thick specimen with fiber-phased-array laser ultrasonic technique. NDT E Int. 113:102273. DOI:10.1016/j.ndteint.2020.102273

    View in Article CrossRef Google Scholar

    [21] Lin L., Cao H. and Luo Z. (2020). Characterization and optimization of acoustic field for curved array probe. Acoust. Phys. 66:469−476. DOI:10.1134/S1063771020050097

    View in Article CrossRef Google Scholar

    [22] Habermehl J., Lamarre A. and Roach D. (2009). Ultrasonic phased array tools for large area composite inspection during maintenance and manufacturing. AIP Conf. Proc. 1096:832−839. DOI:10.1063/1.3114343

    View in Article CrossRef Google Scholar

    [23] Boychuk A.S., Generalov A.S. and Stepanov A.V. (2013). Nondestructive testing of FRP by using phased array ultrasonic technology. ICNDT 2013:51-55. https://www.ndt.net/article/ndt-slovenia2013/papers/51.pdf

    View in Article Google Scholar

    [24] Ren D., Yin Y., Li C., et al. (2023). Recent advances in flexible ultrasonic transducers: From materials optimization to imaging applications. Micromachines 14:126. DOI:10.3390/mi14010126

    View in Article CrossRef Google Scholar

    [25] Li Y., Yao Z., Jiang C., et al. (2024). Investigation on local monitoring paradigms of in-situ conformally fabricated piezopolymer coating-based array transducers: Ultrasonic bulk waves and local ultrasonic resonances. Mech. Syst. Signal Proc. 208:110999. DOI:10.1016/j.ymssp.2023.110999

    View in Article CrossRef Google Scholar

    [26] Guo S., Chen S., Zhang L., et al. (2019). Direct-write piezoelectric ultrasonic transducers for pipe structural health monitoring. NDT E Int. 107:102131. DOI:10.1016/j.ndteint.2019.102131

    View in Article CrossRef Google Scholar

    [27] Guo S., Chen S., Zhang L., et al. (2018). Design and fabrication of direct-write piezoelectric ultrasonic transducers for determining yielding of aluminum alloy. NDT E Int. 98:186−194. DOI:10.1016/j.ndteint.2018.05.009

    View in Article CrossRef Google Scholar

    [28] Guo S., Li Y., Li Z., et al. (2020). The status and prospects of flexible transducers in ultrasonic waves-based structural health monitoring. J. Vibration Meas. Diagn. 40:427−436. DOI:10.16450/j.cnki.issn.1004-6801.2020.03.001

    View in Article CrossRef Google Scholar

    [29] Chatillon S., Cattiaux G., Serre M., et al. (2000). Ultrasonic non-destructive testing of pieces of complex geometry with a flexible phased array transducer. Ultrasonics 38:131−134. DOI:10.1016/S0041-624X(99)00181-X

    View in Article CrossRef Google Scholar

    [30] Hu H., Zhu X., Wang C., et al. (2018). Stretchable ultrasonic transducer arrays for three-dimensional imaging on complex surfaces. Sci. Adv. 4:eaar3979. DOI:10.1126/sciadv.aar3979

    View in Article CrossRef Google Scholar

    [31] Toullelan G., Casula O., Abittan E., et al. (2008). Application of a 3D smart flexible phased‐array to piping inspection. AIP Conf. Proc. 975:794−800. DOI:10.1063/1.2902744

    View in Article CrossRef Google Scholar

    [32] Hopkins D.L., Brassard M., Neau G.A., et al. (2013). Surface-adaptive ultrasound (SAUL) for phased-array inspection of composite specimens with curved edges and complex geometry. AIP Conf. Proc. 1151:809−816. DOI:10.1063/1.4789128

    View in Article CrossRef Google Scholar

    [33] Robert S., Calmon P., Calvo M., et al. (2015). Surface estimation methods with phased-arrays for adaptive ultrasonic imaging in complex components. AIP Conf. Proc. 1650:1657−1666. DOI:10.1063/1.4914787

    View in Article CrossRef Google Scholar

    [34] Luo Z., Liu Z., Li F., et al. (2024). Defects imaging in corner part with surface adaptive ultrasonic and focusing in receiving (FiR) strategy. J. Nondestruct. Eval. 43:49. DOI:10.1007/s10921-024-01063-y

    View in Article CrossRef Google Scholar

    [35] Zhang D., Yu G., Zhou Z., et al. (2013). Ultrasonic phased array inspection for the corner of composite components. J. B. Univ. Aeronaut. Astronaut. 39:688−692. DOI:10.13700/j.bh.1001-5965.2013.05.011

    View in Article CrossRef Google Scholar

    [36] Luo Z., Li F., Su H., et al. (2022). Surface adaptive ultrasonic testing on defects in CFRP radii. J. Mech. Eng. 58:312−318. DOI:10.3901/JME.2022.20.312

    View in Article CrossRef Google Scholar

    [37] Robert S., Casula O., Roy O., et al. (2013). Real-time nondestructive testing of composite aeronautical structures with a self-adaptive ultrasonic technique. Meas. Sci. Technol. 24:074011. DOI:10.1088/0957-0233/24/7/074011

    View in Article CrossRef Google Scholar

    [38] Xu N. and Zhou Z. (2014). Numerical simulation and experiment for inspection of corner-shaped components using ultrasonic phased array. NDT E Int. 63:28−34. DOI:10.1016/j.ndteint.2014.01.005

    View in Article CrossRef Google Scholar

    [39] Jeught S.V.d. and Dirckx J.J.J. (2016). Real-time structured light profilometry: A review. Opt. Lasers Eng. 87:18−31. DOI:10.1016/j.optlaseng.2016.01.011

    View in Article CrossRef Google Scholar

    [40] Chen Q., Xie Y., Cao H., et al. (2022). Ultrasonic inspection of curved structures with a hemispherical-omnidirectional ultrasonic probe via linear scan SAFT imaging. NDT E Int. 129:102650. DOI:10.1016/j.ndteint.2022.102650

    View in Article CrossRef Google Scholar

    [41] Yang H., Li J., Wu D., et al. (2022). Imaging a defect in layered media with different shaped interfaces using reverse time migration without velocity model known a priori. Ultrasonics 124:106750. DOI:10.1016/j.ultras.2022.106750

    View in Article CrossRef Google Scholar

    [42] Yang H., Li J., Tian X., et al. (2023). Parameter inversion and target localization in layered media containing solids based on acoustic ray tracing method. Measurement 213:112719. DOI:10.1016/j.measurement.2023.112719

    View in Article CrossRef Google Scholar

    [43] He J., Rao J., Fleming J.D., et al. (2021). Numerical ultrasonic full waveform inversion (FWI) for complex structures in coupled 2D solid/fluid media. Smart Mater. Struct. 30:085044. DOI:10.1088/1361-665X/ac0f44

    View in Article CrossRef Google Scholar

    [44] Malkin R.E., Franklin A.C., Bevan R.L.T., et al. (2018). Surface reconstruction accuracy using ultrasonic arrays: Application to non-destructive testing. NDT E Int. 96:26−34. DOI:10.1016/j.ndteint.2018.03.004

    View in Article CrossRef Google Scholar

    [45] Xu C. (2022). Method of acoustic waveguide UT. Xu C. (eds). In Robotic nondestructive testing technology (CRC Press), pp. 23-54. DOI:10.1201/9781003212232

    View in Article Google Scholar

    [46] Luo Z., Zhang S., Qian H., et al. (2021). Modelling and wave propagation behavior of phased array ultrasonic testing on carbon fiber reinforced plastics components with complex geometry. Acta Mater. Compos. Sin. 38:3672−3681. DOI:10.13801/j.cnki.fhclxb.20201016.003

    View in Article CrossRef Google Scholar

    [47] Lin L., Cao H. and Luo Z. (2018). Total focusing method imaging of multidirectional CFRP laminate with model-based time delay correction. NDT E Int. 97:51−58. DOI:10.1016/j.ndteint.2018.03.011

    View in Article CrossRef Google Scholar

    [48] Yang H., Yang L., Yang Z., et al. (2023). Ultrasonic detection methods for mechanical characterization and damage diagnosis of advanced composite materials: A review. Compos. Struct. 324:117554. DOI:10.1016/j.compstruct.2023.117554

    View in Article CrossRef Google Scholar

    [49] Cao H., Guo S., Zhang S., et al. (2021). Ray tracing method for ultrasonic array imaging of CFRP corner part using homogenization method. NDT E Int. 122:102493. DOI:10.1016/j.ndteint.2021.102493

    View in Article CrossRef Google Scholar

    [50] Kolkoori S., Hoehne C., Prager J., et al. (2014). Quantitative evaluation of ultrasonic C-scan image in acoustically homogeneous and layered anisotropic materials using three dimensional ray tracing method. Ultrasonics 54:551−562. DOI:10.1016/j.ultras.2013.08.007

    View in Article CrossRef Google Scholar

    [51] Connolly G.D., Lowe M.J.S., Temple J.A.G., et al. (2010). Correction of ultrasonic array images to improve reflector sizing and location in inhomogeneous materials using a ray-tracing model. J. Acoust. Soc. Am. 127:2802−2812. DOI:10.1121/1.3372724

    View in Article CrossRef Google Scholar

    [52] Zhou H., Han Z., Du D., et al. (2018). A combined marching and minimizing ray-tracing algorithm developed for ultrasonic array imaging of austenitic welds. NDT E Int. 95:45−56. DOI:10.1016/j.ndteint.2018.01.008

    View in Article CrossRef Google Scholar

    [53] Kolkoori S., Rahman M.U. and Prager J. (2012). Effect of columnar grain orientation on ultrasonic plane wave energy reflection and transmission behaviour in anisotropic austenitic weld materials. J. Nondestruct. Eval. 31:253−269. DOI:10.1007/s10921-012-0140-1

    View in Article CrossRef Google Scholar

    [54] Kolkoori S.R., Rahman M.U., Chinta P.K., et al. (2013). Ultrasonic field profile evaluation in acoustically inhomogeneous anisotropic materials using 2D ray tracing model: Numerical and experimental comparison. Ultrasonics 53:396−411. DOI:10.1016/j.ultras.2012.07.006

    View in Article CrossRef Google Scholar

    [55] Nowers O., Duxbury D.J., Zhang J., et al. (2014). Novel ray-tracing algorithms in NDE: Application of Dijkstra and A* algorithms to the inspection of an anisotropic weld. NDT E Int. 61:58−66. DOI:10.1016/j.ndteint.2013.08.002

    View in Article CrossRef Google Scholar

    [56] Liu F., Zhou Z., Liu S., et al. (2022). Characterisation of composite skin–stiffener bonding interface and fine-defect evaluation using mono-pulse ultrasonic detection. NDT E Int. 131:102681. DOI:10.1016/j.ndteint.2022.102681

    View in Article CrossRef Google Scholar

    [57] Yang H., Yang Z., Yang L., et al. (2023). Progress in ultrasonic testing and imaging method for damage of carbon fiber composites. Acta Mater. Compos. Sin. 40:4295−4317. DOI:10.13801/j.cnki.fhclxb.20230318.001

    View in Article CrossRef Google Scholar

    [58] Lin L., Cao H. and Luo Z. (2019). Dijkstra’s algorithm-based ray tracing method for total focusing method imaging of CFRP laminates. Compos. Struct. 215:298−304. DOI:10.1016/j.compstruct.2019.02.086

    View in Article CrossRef Google Scholar

    [59] Luo Z., Kang J., Cao H., et al. (2023). Enhanced ultrasonic total focusing imaging of CFRP corner with ray theory-based homogenization technique. Chin. J. Aeronaut. 36:434−443. DOI:10.1016/j.cja.2022.09.010

    View in Article CrossRef Google Scholar

    [60] Luo Z., Zhang S., Jin S., et al. (2022). Heterogeneous ultrasonic time-of-flight distribution in multidirectional CFRP corner and its implementation into total focusing method imaging. Compos. Struct. 294:115789. DOI:10.1016/j.compstruct.2022.115789

    View in Article CrossRef Google Scholar

    [61] Valsero B.L., Smith R.A., Tayong R.B., et al. (2018). Wrinkle measurement in glass-carbon hybrid laminates comparing ultrasonic techniques: A case study. Compos. Pt. A-Appl. Sci. Manuf. 114:225−240. DOI:10.1016/j.compositesa.2018.08.014

    View in Article CrossRef Google Scholar

    [62] Zhang H., Ren Y., Song J., et al. (1995). The wavenumber imaging of fiber waviness in hybrid glass-carbon fiber reinforced polymer composite plates. J. Compos. Mater. 55:4633−4643. DOI:10.1177/00219983211047692

    View in Article CrossRef Google Scholar

    [63] Liu M., Li Z., Wang S., et al. (2023). Quantitative characterization of out-of-plane fiber wrinkling in thick CFRP with Double-side inverse-variance weight-synthetic ultrasonic imaging. Compos. Pt. A-Appl. Sci. Manuf. 166:107376. DOI:10.1016/j.compositesa.2022.107376

    View in Article CrossRef Google Scholar

    [64] Zhou Z., Zhu T., Ma T., et al. (2022). Array ultrasonic total-focus imaging for advanced resin matrix composite fiber wrinkle defect arrays. Acta Mater. Compos. Sin. 39:4384−4392. DOI:10.13801/j.cnki.fhclxb.20220707.001

    View in Article CrossRef Google Scholar

    [65] Tian J., Chen Z., Lu S., et al. (2023). Phase coherence weighted ultrasound total focusing method towards the improved imaging of CFRP defects. Compos. Commun. 43:101736. DOI:10.1016/j.coco.2023.101736

    View in Article CrossRef Google Scholar

    [66] Chang J., Chen Z., Huang Y., et al. (2020). Flexible ultrasonic array for breast-cancer diagnosis based on a self-shape-estimation algorithm. Ultrasonics 108:106199. DOI:10.1016/j.ultras.2020.106199

    View in Article CrossRef Google Scholar

    [67] Weston M., Mudge P., Davis C., et al. (2012). Time efficient auto-focussing algorithms for ultrasonic inspection of dual-layered media using full matrix capture. NDT E Int. 47:43−50. DOI:10.1016/j.ndteint.2011.10.006

    View in Article CrossRef Google Scholar

    [68] Sutcliffe M., Weston M., Charlton P., et al. (2013). Full matrix capture with time-efficient auto-focusing of unknown geometry through dual-layered media. Insight 55:297−301. DOI:10.1784/insi.2012.55.6.297

    View in Article CrossRef Google Scholar

    [69] Sutcliffe M., Weston M., Dutton B., et al. (2012). Real-time full matrix capture with auto-focussing of known geometry through dual layered media. Annu. Conf. Brit. Inst. Non-Destr. Test. 2012:177−184.https://www.bindt.org/downloads/NDT2012_3A1.pdf

    View in Article Google Scholar

    [70] Wang J., Zhou Z., Yang G., et al. (2023). Virtual source total focusing method for crack detection in complex curved structure. NDT E Int. 140:102968. DOI:10.1016/j.ndteint.2023.102968

    View in Article CrossRef Google Scholar

    [71] Chen Y., Mao Q., Shi W., et al. (2019). Frequency domain synthetic aperture focusing technique for irregular two-layered medium based on visual source. Chin. J. Sci. Instrum. 40:48−55. DOI:10.19650/j.cnki.cjsi.J1904813

    View in Article CrossRef Google Scholar

    [72] Hoyle E., Sutcliffe M., Charlton P., et al. (2018). Virtual source aperture imaging with auto-focusing of unknown complex geometry through dual layered media. NDT E Int. 98:55−62. DOI:10.1016/j.ndteint.2018.04.005

    View in Article CrossRef Google Scholar

    [73] Shih R., Chang Y., Chang C., et al. (2013). Ultrasonic synthetic aperture focusing using the root-mean-square velocity. J. Nondestruct. Eval. 33:12−22. DOI:10.1007/s10921-013-0198-4

    View in Article CrossRef Google Scholar

    [74] Hu H., Wang Z., Peng L., et al. (2016). Immersion ultrasonic imaging using the synthetic aperture focusing technique based on the root mean square velocity. Chin. J. Sci. Instrum. 37:365−370. DOI:10.3969/j.issn.0254-3087.2016.02.017

    View in Article CrossRef Google Scholar

    [75] Hu H. and Jeong H. (2017). An efficient ultrasonic SAFT imaging for pulse-echo immersion testing. J. Korean Soc. Nondestruct. Test. 37:84−90. DOI:10.7779/JKSNT.2017.37.2.84

    View in Article CrossRef Google Scholar

    [76] Ji K., Zhao P., Zhuo C., et al. (2022). Efficient phase shift migration for ultrasonic full-matrix imaging of multilayer composite structures. Mech. Syst. Signal Proc. 174:109114. DOI:10.1016/j.ymssp.2022.109114

    View in Article CrossRef Google Scholar

    [77] Wu H., Chen J., Yang K., et al. (2016). Ultrasonic array imaging of multilayer structures using full matrix capture and extended phase shift migration. Meas. Sci. Technol. 27:045401. DOI:10.1088/0957-0233/27/4/045401

    View in Article CrossRef Google Scholar

    [78] Lukomski T. (2016). Full-matrix capture with phased shift migration for flaw detection in layered objects with complex geometry. Ultrasonics 70:241−247. DOI:10.1016/j.ultras.2016.05.008

    View in Article CrossRef Google Scholar

    [79] Xu W., Yuan M., Xuan W., et al. (2021). Quantitative inspection of complex-shaped parts based on ice-coupled ultrasonic full waveform inversion technology. Appl. Sci.-Basel 11:4433. DOI:10.3390/app11104433

    View in Article CrossRef Google Scholar

    [80] Rao J., Wang J., Kollmannsberger S., et al. (2022). Point cloud-based elastic reverse time migration for ultrasonic imaging of components with vertical surfaces. Mech. Syst. Signal Proc. 163:108144. DOI:10.1016/j.ymssp.2021.108144

    View in Article CrossRef Google Scholar

    [81] Yang X., Wang K., Xu Y., et al. (2020). A reverse time migration-based multistep angular spectrum approach for ultrasonic imaging of specimens with irregular surfaces. Ultrasonics 108:106233. DOI:10.1016/j.ultras.2020.106233

    View in Article CrossRef Google Scholar

    [82] Ji K., Zhao P., Zhuo C., et al. (2022). Ultrasonic full-matrix imaging of curved-surface components. Mech. Syst. Signal Proc. 181:109522. DOI:10.1016/j.ymssp.2022.109522

    View in Article CrossRef Google Scholar

    [83] Guasch L., Agudo O.C., Tang M.X., et al. (2020). Full-waveform inversion imaging of the human brain. npj Digit. Med. 3:28. DOI:10.1038/s41746-020-0240-8

    View in Article CrossRef Google Scholar

    [84] Lin L., Shen H., Shi S., et al. (2025). Subwavelength resolution imaging of ultrasonic total focusing method by decoupling overlapped signals through back propagation neural network. Mech. Syst. Signal Proc. 231:112724. DOI:10.1016/j.ymssp.2025.112724

    View in Article CrossRef Google Scholar

    [85] Anwar S., Yunker A., Kettimuthu R., et al. (2025). A deep learning-based approach to improve reconstruction of ultrasound computed tomography with full waveform inversion. Smart Mater. Struct. 34:035059. DOI:10.1088/1361-665X/adc359

    View in Article CrossRef Google Scholar

    [86] Kleman C., Anwar S., Liu Z., et al. (2023). Full waveform inversion-based ultrasound computed tomography acceleration using two-dimensional convolutional neural networks. J. Nondestruct. Eval. Diagn. Progn. Eng. Syst. 6:041004. DOI:10.1115/1.4062092

    View in Article CrossRef Google Scholar

  • Cite this article:

    Yao Z., Zhu Q., Cao H., et al. (2026). Adaptive ultrasonic inspection of complex-shaped structures: From data acquisition to imaging algorithms. The Innovation Informatics 2:100029. https://doi.org/10.59717/j.xinn-inform.2026.100029
    Yao Z., Zhu Q., Cao H., et al. (2026). Adaptive ultrasonic inspection of complex-shaped structures: From data acquisition to imaging algorithms. The Innovation Informatics 2:100029. https://doi.org/10.59717/j.xinn-inform.2026.100029

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