A Review of Ultrasonic Testing and Evaluation Methods with Applications in Civil NDT/E

1. Cawley, P.: Structural health monitoring: Closing the gap between research and industrial deployment. Struct. Health Monit. 17, 1225–1244 (2018). https://doi.org/10.1177/1475921717750047/ASSET/IMAGES/LARGE/10.1177_1475921717750047-FIG1.JPEG10.1177/1475921717750047/ASSET ↗

2. Song, G., Wang, C., Wang, B.: Structural health monitoring (SHM) of civil structures. Appl. Sci. 2017. 7, 789 (2017). https://doi.org/10.3390/APP708078910.3390/APP7080789 ↗

3. Luleci, F., Catbas, F.N., Avci, O.A., Literature Review: Generative adversarial networks for civil structural health monitoring. Front. Built Environ. 8, 1027379 (2022). https://doi.org/10.3389/FBUIL.2022.1027379/BIBTEX10.3389/fbuil.2022.1027379 ↗

4. Oh, T., Kee, S.-H., Arndt, R.W., Popovics, J.S., Zhu, J.: Comparison of NDT methods for assessment of a concrete Bridge deck. J. Eng. Mech. 139, 305–314 (2013). https://doi.org/10.1061/(ASCE)EM.1943-7889.000044110.1061/(ASCE)EM.1943-7889.0000441 ↗

5. Dérobert, X., Aubagnac, C., Abraham, O.: Comparison of NDT techniques on a Post-Tensioned beam before its autopsy. NDT E Int. 35, 541–548 (2002). https://doi.org/10.1016/S0963-8695(02)00027-010.1016/S0963-8695(02)00027-0 ↗

6. Scott, M., Rezaizadeh, A., Delahaza, A., Santos, C.G., Moore, M., Graybeal, B., Washer, G.A.: Comparison of nondestructive evaluation methods for Bridge deck assessment. NDT E Int. 36, 245–255 (2003). https://doi.org/10.1016/S0963-8695(02)00061-010.1016/S0963-8695(02)00061-0 ↗

7. Tayfur, S., Alver, N., Tanarslan, H.M., Ercan, E., Identifying: CFRP strip width influence on fracture of RC beams by acoustic emission. Constr. Build. Mater. 164, 864–876 (2018). https://doi.org/10.1016/J.CONBUILDMAT.2018.01.18910.1016/J.CONBUILDMAT.2018.01.189 ↗

8. Balasubramaniam, K., Fiborek, P., Ziaja, D., Jurek, M., Sawczak, M., Soman, R., Malinowski, P.H.: Global and local area inspection methods in damage detection of carbon Fiber composite structures. Measurement. 187, 110336 (2022). https://doi.org/10.1016/J.MEASUREMENT.2021.11033610.1016/J.MEASUREMENT.2021.110336 ↗

9. Pham, T.D., Shrestha, R.A., Virkutyte, J., Sillanpää, M.: Recent studies in environmental applications of ultrasound. Can. J. Civ. Eng. 36, 1849–1858 (2009). https://doi.org/10.1139/L09-068/ASSET/IMAGES/LARGE/L09-068F2.JPEG10.1139/L09-068/ASSET ↗

10. Kane, D., Grassi, W., Sturrock, R., Balint, P.V.: A Brief History of Musculoskeletal Ultrasound: ‘From Bats and Ships to Babies and Hips.’ Rheumatology 43, 931–933 (2004). https://doi.org/10.1093/RHEUMATOLOGY/KEH00410.1093/RHEUMATOLOGY/KEH004 ↗

11. Her, S.C., Lin, S.T.: Non-Destructive Evaluation of Depth of Surface Cracks Using Ultrasonic Frequency Analysis. Sensors. 14, 17146–17158 (2014). https://doi.org/10.3390/S14091714610.3390/S140917146 ↗

12. Solodov, I., Kreutzbruck, M.: Resonant Defects: A New Approach to Highly-Sensitive Ultrasound-Activated NDT Techniques. (2016)10.12737/23496 ↗

13. Anbarasan, S., Varatharajan, T., Srinivasan, S.K.: Monitoring the behaviour of seven storeyed RC frame subjected to reversed Cyclic loading by nonlinear NDT. Case Stud. Constr. Mater. 17, e01693 (2022). https://doi.org/10.1016/J.CSCM.2022.E0169310.1016/J.CSCM.2022.E01693 ↗

14. Moulin, E., Benmeddour, F., Achdjian, H., Chehami, L., Assaad, J., De Rosny, J., Prada, C.: Exploitation of the reverberant propagation of elastic waves in structures: Towards a concept of Low-Resource SHM sensor network. Phys. Procedia. 70, 618–621 (2015). https://doi.org/10.1016/J.PHPRO.2015.08.03810.1016/J.PHPRO.2015.08.038 ↗

15. Grabke, S., Clauß, F., Bletzinger, K.U., Ahrens, M.A., Mark, P., Wüchner, R.: Damage detection at a reinforced concrete specimen with coda wave interferometry. Mater. 2021. 14, 5013 (2021). https://doi.org/10.3390/MA1417501310.3390/MA14175013 ↗

16. Epple, N., Barroso, D.F., Niederleithinger, E.: Towards monitoring of concrete structures with embedded ultrasound sensors and coda Waves– First results of DFG for coda. 127, 266–275, (2021). https://doi.org/10.1007/978-3-030-64594-6_27/FIGURES/510.1007/978-3-030-64594-6_27/FIGURES/5 ↗

17. Hafiz, A., Schumacher, T.: Monitoring of stresses in concrete using ultrasonic coda wave comparison technique. J. Nondestr Eval. 37, 73 (2018). https://doi.org/10.1007/s10921-018-0527-810.1007/s10921-018-0527-8 ↗

18. Grabke, S., Bletzinger, K.U.: Comparison of Structural Analysis Results with Coda Wave Interferometry Measurements. Life-Cycle of Structures and Infrastructure Systems - Proceedings of the 8th International Symposium on Life-Cycle Civil Engineering, IALCCE, 1821–1826 (2023). https://doi.org/10.1201/9781003323020-223/COMPARISON-STRUCTURAL-ANALYSIS-RESULTS-CODA-WAVE-INTERFEROMETRY-MEASUREMENTS-GRABKE-BLETZINGER10.1201/9781003323020-223 ↗

19. Epple, N.;… E.N.-NDT. net I.-2022; 2022, undefined Coda Wave Interferometry for Monitoring Bridges with Embedded Ultrasonic Transducers–Lessons Learned at the Gänstorbrücke Bridge Ulm, Germany. opus4.kobv.deN Epple, E Niederleithinger, D Fontoura BarrosoNDT. net Issue-2022-09-2022•opus4.kobv.de

20. Choi, H., Bittner, J., Popovics, J.S.: Comparison of Ultrasonic Imaging Techniques for Full-Scale Reinforced Concrete. 2592, 126–135 (2016) https://doi.org/10.3141/2592-1410.3141/2592-14 ↗

21. Ge, L., Huang, L., Wang, Z., Wang, H., Dong, D., Li, Q.: Concrete inspection signal Pre-Processing method based on TFM imaging. ACM Int. Conf. Proceeding Ser. 1282–1288 (2022). https://doi.org/10.1145/3573428.357365610.1145/3573428.3573656 ↗

22. Schickert, M., Krause, M., Müller, W.: Ultrasonic imaging of concrete elements using reconstruction by synthetic aperture focusing technique. J. Mater. Civ. Eng. 15, 235–246 (2003). https://doi.org/10.1061/(ASCE)0899-1561(2003)15:3(235)10.1061/(ASCE)0899-1561(2003)15:3(235) ↗

23. Kwon, H., Joh, C., Chin, W.J.: 3D internal visualization of concrete structure using multifaceted data for ultrasonic array Pulse-Echo tomography. Sens. 2021. 21, 6681 (2021). https://doi.org/10.3390/S2119668110.3390/S21196681 ↗

24. Zhu, W.F., Chen, X.J., Li, Z.W., Meng, X.Z., Fan, G.P., Shao, W., Zhang, H.Y.: A SAFT method for the detection of void defect inside a ballastless track structure using ultrasonic array sensors. Sens. 2019. 19, 4677 (2019). https://doi.org/10.3390/S1921467710.3390/S19214677 ↗

25. Selim, H., Trull, J., Prieto, M.D., Picó, R., Romeral, L., Cojocaru, C.: Fully noncontact hybrid NDT for 3D defect reconstruction using SAFT algorithm and 2D apodization window. Sens. 2019. 19, 2138 (2019). https://doi.org/10.3390/S1909213810.3390/S19092138 ↗

26. Chen, R., Tran, K.T., La, H.M., Rawlinson, T., Dinh, K.: Detection of delamination and rebar debonding in concrete structures with ultrasonic SH-Waveform tomography. Autom. Constr. 133, 104004 (2022). https://doi.org/10.1016/J.AUTCON.2021.10400410.1016/J.AUTCON.2021.104004 ↗

27. Li, Z.W., Zhu, W.F., Meng, X.Z., Fan, G.P., He, Y.L.: Multi-Layer imaging method for void defects in ballastless track using forward ray tracing with SAFT. Measurement. 173, 108532 (2021). https://doi.org/10.1016/J.MEASUREMENT.2020.10853210.1016/J.MEASUREMENT.2020.108532 ↗

28. Pellegrini, P., Chen, J., Kilani, L.Z., Ermakov, V.: Automation reinforced concrete structures design models based on the results tomographic ultrasonic. IOP Conf. Ser. Mater. Sci. Eng. 365, 052029 (2018). https://doi.org/10.1088/1757-899X/365/5/05202910.1088/1757-899X/365/5/052029 ↗

29. Vonk, S., Taffe, A.: Detection of Near-Surface reinforcement in concrete components with ultrasound. MATEC Web Conferences. 199(06007) (2018). https://doi.org/10.1051/MATECCONF/20181990600710.1051/MATECCONF/201819906007 ↗

30. Ge, L., Li, Q., Wang, Z., Li, Q., Lu, C., Dong, D., Wang, H.: High-Resolution ultrasonic imaging technology for the damage of concrete structures based on total focusing method. Comput. Electr. Eng. 105, 108526 (2023). https://doi.org/10.1016/J.COMPELECENG.2022.10852610.1016/J.COMPELECENG.2022.108526 ↗

31. Tseng, C.-W., Chang, Y.-F., Wang, C.-Y.: Total focusing method or phased array technique: Which detection technique is better for the ultrasonic nondestructive testing of concrete? J. Mater. Civ. Eng. 30, 04017256 (2018). https://doi.org/10.1061/(ASCE)MT.1943-5533.0002118/SUPPL_FILE/SUPPLEMENTAL_DATA_MT.1943-5533.0002118_TSENG.PDF10.1061/(ASCE)MT.1943-5533.0002118/SUPPL_FILE/SUPPLEMENTAL_DATA_MT.1943-5533.0002118_TSENG.PDF ↗

32. Kuchipudi, S.T., Pudovikov, S., Wiggenhauser, H., Ghosh, D., Rabe, U.: Imaging of Vertical Surface-Breaking Cracks in Concrete Members Using Ultrasonic Shear Wave Tomography. Scientific Reports. 13:1–19, (2023). https://doi.org/10.1038/s41598-023-48699-w10.1038/s41598-023-48699-w ↗

33. Kwon, H., Joh, C., Chin, W.J.: Pulse peak Delay-Total focusing method for ultrasonic tomography on concrete structure. Appl. Sci. 2021. 11, 1741 (2021). https://doi.org/10.3390/APP1104174110.3390/APP11041741 ↗

34. Wang, Z., Gong, F., Zhang, D., Hayashida, H., Ueda, T.: Mesoscale simulation of concrete behavior with Non-Uniform Frost damage with verification by CT imaging. Constr. Build. Mater. 157, 203–213 (2017). https://doi.org/10.1016/J.CONBUILDMAT.2017.09.04010.1016/J.CONBUILDMAT.2017.09.040 ↗

35. Liu, D., Cao, K., Tang, Y., Zhong, A., Jian, Y., Gong, C., Meng, X.: Ultrasonic and X-CT measurement methods for concrete deterioration of segmental lining under Wetting-Drying cycles and sulfate attack. Measurement. 204, 111983 (2022). https://doi.org/10.1016/J.MEASUREMENT.2022.11198310.1016/J.MEASUREMENT.2022.111983 ↗

36. Choi, H., Popovics, J.S.: NDE application of ultrasonic tomography to a Full-Scale concrete structure. IEEE Trans. Ultrason. Ferroelectr. Freq. Control. 62, 1076–1085 (2015). https://doi.org/10.1109/TUFFC.2014.00696210.1109/TUFFC.2014.006962 ↗

37. Yoon, J., Kim, H., Shin, S.W., Sim, S.H.: Rheology-Based determination of injectable Grout fluidity for Preplaced aggregate concrete using ultrasonic tomography. Constr. Build. Mater. 260, 120447 (2020). https://doi.org/10.1016/J.CONBUILDMAT.2020.12044710.1016/J.CONBUILDMAT.2020.120447 ↗

38. Li, K.F., Fang, D.P., Li, Z., Li, K., Wang, J., Li, L.: Application of Ultrasonic Computerized Tomography Technique to Detect the Internal Defects in Cement-Based Mortar. pdfs.semanticscholar.orgZ Li, K Li, J Wang, L LiXVI International Conference on Durability of Building, 2023•pdfs.semanticscholar.org10.23967/c.dbmc.2023.036 ↗

39. Perez, E., Kirchhof, J., Semper, S., Krieg, F., Romer, F.: Cramér-Rao Bounds for Flaw Localization in Subsampled Multistatic Multichannel Ultrasound Ndt Data. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 2020-May, 4960–4964, (2020). https://doi.org/10.1109/ICASSP40776.2020.905352310.1109/ICASSP40776.2020.9053523 ↗

40. Cosarinsky, G., Cruza, J.F., Muñoz, M., Camacho, J.: Optimized Auto-Focusing method for 3D ultrasound imaging in NDT. NDT E Int. 134, 102779 (2023). https://doi.org/10.1016/J.NDTEINT.2022.10277910.1016/J.NDTEINT.2022.102779 ↗

41. Niu, Z., Wang, W., Huang, X., Lai, J.: Integrated assessment of concrete structure using bayesian theory and ultrasound tomography. Constr. Build. Mater. 274, 122086 (2021). https://doi.org/10.1016/J.CONBUILDMAT.2020.12208610.1016/J.CONBUILDMAT.2020.122086 ↗

42. Seiffert, H.L., de Balbo, L.: Suppression of surface waves with the ensemble empirical mode decomposition to enhance ultrasound images of reinforced concrete elements. NDT E Int. 116, 102329 (2020). https://doi.org/10.1016/J.NDTEINT.2020.10232910.1016/J.NDTEINT.2020.102329 ↗

43. Virkkunen, I., Koskinen, T., Jessen-Juhler, O., Rinta-aho, J.: Augmented ultrasonic data for machine learning. J. Nondestr Eval. 40, 1–11 (2021). https://doi.org/10.1007/S10921-020-00739-5/TABLES/110.1007/S10921-020-00739-5/TABLES/1 ↗

44. Sun, H., Ramuhalli, P., Jacob, R.E.: Machine learning for ultrasonic nondestructive examination of welding defects: A systematic review. Ultrasonics. 127 (2022). https://doi.org/10.1016/J.ULTRAS.2022.10685410.1016/J.ULTRAS.2022.106854 ↗

45. Siljama, O., Koskinen, T., Jessen-Juhler, O., Virkkunen, I.: Automated flaw detection in Multi-Channel phased array ultrasonic data using machine learning. J. Nondestr Eval. 40, 1–13 (2021). https://doi.org/10.1007/S10921-021-00796-4/FIGURES/610.1007/S10921-021-00796-4/FIGURES/6 ↗

46. Pawar, P., Buktar, R.: Detection and classification of defects in ultrasonic testing using deep learning. Lecture Notes Networks Syst. 237, 1–15 (2022). https://doi.org/10.1007/978-981-16-6407-6_1/FIGURES/1010.1007/978-981-16-6407-6_1/FIGURES/10 ↗

47. Sawant, S., Sethi, A., Banerjee, S., Tallur, S.: Unsupervised learning framework for temperature compensated damage identification and localization in ultrasonic guided wave SHM with transfer learning. Ultrasonics. 130, 106931 (2023). https://doi.org/10.1016/J.ULTRAS.2023.10693110.1016/J.ULTRAS.2023.106931 ↗

48. Kang, D., Cha, Y.J.: Autonomous UAVs for structural health monitoring using deep learning and an ultrasonic beacon system with Geo-Tagging. Computer-Aided Civ. Infrastruct. Eng. 33, 885–902 (2018). https://doi.org/10.1111/MICE.1237510.1111/MICE.12375 ↗

49. Lim, H.J., Sohn, H., Kim, Y.: Data-Driven fatigue crack quantification and prognosis using nonlinear ultrasonic modulation. Mech. Syst. Signal. Process. 109, 185–195 (2018). https://doi.org/10.1016/J.YMSSP.2018.03.00310.1016/J.YMSSP.2018.03.003 ↗

50. Melville, J., Alguri, K.S., Deemer, C., Harley, J.B.: Structural damage detection using deep learning of ultrasonic guided waves. AIP Conf. Proc. 1949, 230004 (2018). https://doi.org/10.1063/1.5031651/81973110.1063/1.5031651/819731 ↗

51. Miorelli, R., Fisher, C., Kulakovskyi, A., Chapuis, B., Mesnil, O., D’Almeida, O.: Defect sizing in guided wave imaging structural health monitoring using convolutional neural networks. NDT E Int. 122, 102480 (2021). https://doi.org/10.1016/J.NDTEINT.2021.10248010.1016/J.NDTEINT.2021.102480 ↗

52. Provencal, E., Laperrière, L.: Identification of weld geometry from ultrasound scan data using deep learning. Procedia CIRP. 104, 122–127 (2021). https://doi.org/10.1016/J.PROCIR.2021.11.02110.1016/J.PROCIR.2021.11.021 ↗

53. Osman, A., Kaftandjian, V., Hassler, U., Kaftandjian, V.: Improving the Reliability of NDT Inspection through Information Fusion: Applications in X-Ray and Ultrasound Modalities. (2014)

54. Pandey, R., Kirchhof, J., Krieg, F., Pérez, E., Römer, F.: Preprocessing of Freehand Ultrasound Synthetic Aperture Measurements Using DNN. European Signal Processing Conference 2021-August, 1401–1405, (2021). https://doi.org/10.23919/EUSIPCO54536.2021.961615510.23919/EUSIPCO54536.2021.9616155 ↗

55. Niu, S., Srivastava, V., Simulation Trained, C.N.N.: for Accurate Embedded Crack Length, Location, and Orientation Prediction from Ultrasound Measurements. Int J Solids Struct. 242, 111521, (2022). https://doi.org/10.1016/J.IJSOLSTR.2022.11152110.1016/J.IJSOLSTR.2022.111521 ↗

56. Wu, Y., Wang, Y., Li, D., Zhang, J.: Two-Step detection of concrete internal condition using array ultrasound and deep learning. NDT E Int. 139, 102945 (2023). https://doi.org/10.1016/J.NDTEINT.2023.10294510.1016/J.NDTEINT.2023.102945 ↗

57. Rehbein, J., Lorenz, S.J., Holtmannspötter, J., Valeske, B.: 3D-Visualization of ultrasonic NDT data using mixed reality. J. Nondestr Eval. 41, 1–11 (2022). https://doi.org/10.1007/S10921-022-00860-7/FIGURES/710.1007/S10921-022-00860-7/FIGURES/7 ↗

58. Sanabria, S.J., Furrer, R., Neuenschwander, J., Niemz, P., Sennhauser, U.: Novel slanted incidence Air-Coupled ultrasound method for delamination assessment in individual bonding Planes of structural Multi-Layered glued timber laminates. Ultrasonics. 53, 1309–1324 (2013). https://doi.org/10.1016/J.ULTRAS.2013.03.01710.1016/J.ULTRAS.2013.03.017 ↗

59. Liu, P., Nazirah, A.W., Sohn, H.: Numerical simulation of damage detection using Laser-Generated ultrasound. Ultrasonics. 69, 248–258 (2016). https://doi.org/10.1016/J.ULTRAS.2016.03.01310.1016/J.ULTRAS.2016.03.013 ↗

60. Lowe, P.S., Lais, H., Paruchuri, V., Gan, T.H.: Application of ultrasonic guided waves for inspection of high density polyethylene pipe systems. Sens. 2020. 20, 3184 (2020). https://doi.org/10.3390/S2011318410.3390/S20113184 ↗

61. Schmelt, A.S., Marhenke, T., Hasener, J., Twiefel, J.: Investigation and enhancement of the detectability of flaws with a coarse measuring grid and air coupled ultrasound for NDT of panel materials using the Re-Radiation method. Appl. Sci. 2020. 10, 1155 (2020). https://doi.org/10.3390/APP1003115510.3390/APP10031155 ↗

62. Marhenke, T., Neuenschwander, J., Furrer, R., Twiefel, J., Hasener, J., Niemz, P., Sanabria, S.J.: Modeling of delamination detection utilizing Air-Coupled ultrasound in Wood-Based composites. NDT E Int. 99, 1–12 (2018). https://doi.org/10.1016/J.NDTEINT.2018.05.01210.1016/J.NDTEINT.2018.05.012 ↗

63. Raja, N., Balasubramaniam, K.: Remote Excitation Ultrasonic Waveguide-Based SHM for Critical Applications. Lecture Notes in Civil Engineering 270 LNCE, 160–169, (2023). https://doi.org/10.1007/978-3-031-07322-9_17/TABLES/210.1007/978-3-031-07322-9_17/TABLES/2 ↗

64. Lee, J.-R., Chong, S.Y., Sunuwar, N., Park, C.Y.: Repeat scanning technology for laser ultrasonic propagation imaging. Meas. Sci. Technol. 24, 085201 (2013). https://doi.org/10.1088/0957-0233/24/8/08520110.1088/0957-0233/24/8/085201 ↗

65. Tsangouri, E., Karaiskos, G., Aggelis, D.G., Deraemaeker, A., Van Hemelrijck, D.: Crack sealing and damage recovery monitoring of a concrete healing system using embedded piezoelectric transducers. 14, 462–474, (2015). https://doi.org/10.1177/147592171559621910.1177/1475921715596219 ↗

66. Rabe, U., Pudovikov, S., Herrmann, H.-G., Wiggenhauser, H., Prabhakara, P., Niederleithinger, E.: Evaluation of Retroreflective Corner Echo for Detection of Surface Breaking Cracks in Concrete by Ultrasound. 1–4. (2022)10.1007/s10921-023-00956-8 ↗

67. Grohmann, M., Niederleithinger, E., Maack, S., Buske, S.: Application of iterative elastic SH reverse time migration to synthetic ultrasonic echo data. J. Nondestr Eval. 43, 1–16 (2024). https://doi.org/10.1007/S10921-023-01010-3/TABLES/610.1007/S10921-023-01010-3/TABLES/6 ↗

68. Hong, X., Lin, X., Yang, B., Li, M.: Crack detection in plastic pipe using piezoelectric transducers based on nonlinear ultrasonic modulation. Smart Mater. Struct. 26, 104012 (2017). https://doi.org/10.1088/1361-665X/AA629310.1088/1361-665X/AA6293 ↗

69. Bellanova, M., Felicetti, R.: A multidisciplinary strategy for the inspection of historical metallic Tie-Rods: The Milan Cathedral case study. Int. J. Architectural Herit. 13, 371–389 (2019). https://doi.org/10.1080/15583058.2018.156322810.1080/15583058.2018.1563228 ↗

70. Yang, B., Xuan, F.Z., Chen, S., Zhou, S., Gao, Y., Xiao, B.: Damage localization and identification in WGF/Epoxy composite laminates by using lamb waves: Experiment and simulation. Compos. Struct. 165, 138–147 (2017). https://doi.org/10.1016/J.COMPSTRUCT.2017.01.01510.1016/J.COMPSTRUCT.2017.01.015 ↗

71. Al-Neshawy, F., Ferriera, M., Puttonen, J.N.D.T.: Assessment of a Thick-Walled reinforced concrete Mock-up of NPP concrete structures., https://doi.org/10.58286/2719010.58286/27190 ↗

72. Pistone, E., Li, K., Rizzo, P.: Noncontact Monitoring of immersed plates by means of laser-induced ultrasounds. 549–565, (2013). https://doi.org/10.1177/147592171350676710.1177/1475921713506767 ↗

73. Moll, J., Kathol, J., Fritzen, C.P., Moix-Bonet, M., Rennoch, M., Koerdt, M., Herrmann, A.S., Sause, M.G.R., Bach, M.: Open Guided Waves: Online Platform for Ultrasonic Guided Wave Measurements. 1903–1914, (2018). https://doi.org/10.1177/147592171881716910.1177/1475921718817169 ↗

74. Kachanov, V.K., Sokolov, I.V., Kontsov, R.V., Fedorov, M.B., Pervushin, V.V.: Ultrasonic adaptive tomograph of concrete products with Non-Standard configuration. Russ. J. Nondestr. Test. 57, 1050–1059 (2021). https://doi.org/10.1134/S1061830921120056/FIGURES/1010.1134/S1061830921120056/FIGURES/10 ↗

75. Lay, V., Effner, U., Niederleithinger, E., Arendt, J., Hofmann, M., Kudla, W.: Ultrasonic quality assurance at Magnesia shotcrete sealing structures. Sens. 2022. 22, 8717 (2022). https://doi.org/10.3390/S2222871710.3390/S22228717 ↗

76. Bolotina, I.O., Sednev, D.A., Portenko, V.A.: Ultrasonic testing method for quality control of mold castings. IOP Conf. Ser. Mater. Sci. Eng. 511, 012043 (2019). https://doi.org/10.1088/1757-899X/511/1/01204310.1088/1757-899X/511/1/012043 ↗

77. Yi, W.J., Gilliland, S., Saniie, J.: Wireless Sensor Network for Structural Health Monitoring Using System-on-Chip with Android Smartphone. Proceedings of IEEE Sensors (2013). https://doi.org/10.1109/ICSENS.2013.668835510.1109/ICSENS.2013.6688355 ↗

78. Analysis of the Concrete Strength versus Ultrasonic Pulse Velocity Relationship: Available online: (2024). https://www.researchgate.net/publication/283159569_Analysis_of_the_Concrete_Strength_versus_Ultrasonic_Pulse_Velocity_Relationship (accessed on 1

79. Habibpour-Ledari, A., Honarvar, F.: Three dimensional characterization of defects by ultrasonic Time-of-Flight diffraction (ToFD) technique. J. Nondestr Eval. 37, 1–11 (2018). https://doi.org/10.1007/S10921-018-0465-5/FIGURES/1210.1007/S10921-018-0465-5/FIGURES/12 ↗

80. Sanabria, S.J., Furrer, R., Neuenschwander, J., Niemz, P., Schütz, P.A., Modeling: Finite-Difference simulation and experimental validation of Air-Coupled ultrasound beam refraction and damping through timber laminates, with application to Non-Destructive testing. Ultrasonics. 63, 65–85 (2015). https://doi.org/10.1016/J.ULTRAS.2015.06.01310.1016/J.ULTRAS.2015.06.013 ↗

81. Mažeika, L., Raišutis, R., Jankauskas, A., Rekuvienė, R., Šliteris, R., Samaitis, V., Nageswaran, C., Budimir, M.: High sensitivity ultrasonic NDT technique for detecting creep damage at the early stage in power plant steels. Int. J. Press. Vessels Pip. 196, 104613 (2022). https://doi.org/10.1016/J.IJPVP.2022.10461310.1016/J.IJPVP.2022.104613 ↗

82. Pedreros, L., Cárdenas, F., Ramírez, N., Forero, E.N.D.T.: Non-Destructive test for quality evaluation of concrete specimens by ultrasonic pulse velocity measurement. IOP Conf. Ser. Mater. Sci. Eng. 844, 012041 (2020). https://doi.org/10.1088/1757-899X/844/1/01204110.1088/1757-899X/844/1/012041 ↗

83. Fierro, G.P.M., Calla, D., Ginzburg, D., Ciampa, F., Meo, M.: Nonlinear ultrasonic stimulated thermography for damage assessment in isotropic fatigued structures. J. Sound Vib. 404, 102–115 (2017). https://doi.org/10.1016/J.JSV.2017.05.04110.1016/J.JSV.2017.05.041 ↗

84. Shah, J., El-Hawwat, S., Wang, H.: Guided wave ultrasonic testing for crack detection in polyethylene pipes: Laboratory experiments and numerical modeling. Sens. 2023. 23, 5131 (2023). https://doi.org/10.3390/S2311513110.3390/S23115131 ↗

85. Yılmaz, B., Jasiūnienė, E.: Advanced ultrasonic NDT for weak bond detection in Composite-Adhesive bonded structures. Int. J. Adhes. Adhes. 102, 102675 (2020). https://doi.org/10.1016/J.IJADHADH.2020.10267510.1016/J.IJADHADH.2020.102675 ↗

86. Masonkina, M., Application of ultrasonic imaging technique as structural: health monitoring tool for assessment of defects in glass fiber composite structures. (2013)

87. Bellanova Politecnico di Milano, Bellanova, M., Cucchi, M., Felicetti, M.: R.; Lo Monte, F. Unconventional applications of A1040 mira tomograph. (2017)

88. Kurz, J.H., Jüngert, A., Dugan, S., Dobmann, G., Boller, C.: Reliability considerations of NDT by probability of detection (POD) determination using ultrasound phased array. Eng. Fail. Anal. 35, 609–617 (2013). https://doi.org/10.1016/J.ENGFAILANAL.2013.06.00810.1016/J.ENGFAILANAL.2013.06.008 ↗

89. Basnayake, B.M.K.L.K., Amunugama, A.R.M.H.B., Attanayake, U.B.: Detection of concrete surface crack depth using ultrasonic pulse velocity (UPV) methods. Lecture Notes Civil Eng. 266, 173–186 (2023). https://doi.org/10.1007/978-981-19-2886-4_13/FIGURES/1110.1007/978-981-19-2886-4_13/FIGURES/11 ↗

90. Skjelvareid, M.H., Birkelund, Y., Larsen, Y.: Internal pipeline inspection using virtual source synthetic aperture ultrasound imaging. NDT E Int. 54, 151–158 (2013). https://doi.org/10.1016/J.NDTEINT.2012.10.00510.1016/J.NDTEINT.2012.10.005 ↗

91. Terzioglu, T., Karthik, M.M., Hurlebaus, S., Hueste, M.B.D., Maack, S., Woestmann, J., Wiggenhauser, H., Krause, M., Miller, P.K., Olson, L.D.: Nondestructive evaluation of Grout defects in internal tendons of Post-Tensioned girders. NDT E Int. 99, 23–35 (2018). https://doi.org/10.1016/J.NDTEINT.2018.05.01310.1016/J.NDTEINT.2018.05.013 ↗

92. Leinov, E., Lowe, M.J.S., Cawley, P.: Investigation of guided wave propagation in pipes fully and partially embedded in concrete. J. Acoust. Soc. Am. 140, 4528–4539 (2016). https://doi.org/10.1121/1.497211810.1121/1.4972118 ↗

93. Guo, C., Lu, Z.A.: Comprehensive research of the Air-Void defect of Concrete-Filled steel tube. Periodica Polytech. Civil Eng. 65, 474–485 (2021). https://doi.org/10.3311/PPCI.1517310.3311/PPCI.15173 ↗

94. Korgin, A., Kilani, L.Z., Ermakov, V.: Application of ultrasonic methods for determination location and sizes of granite blocks of the monument pedestal. IOP Conf. Ser. Mater. Sci. Eng. 365, 052030 (2018). https://doi.org/10.1088/1757-899X/365/5/05203010.1088/1757-899X/365/5/052030 ↗

95. Guo, C., Lu, Z.C.F.S.T.: Rib with circumferential gap and SWS composite defects. Iran. J. Sci. Technol. - Trans. Civil Eng. 45, 1441–1456 (2021). https://doi.org/10.1007/S40996-020-00434-5/FIGURES/2010.1007/S40996-020-00434-5/FIGURES/20 ↗

96. Schabowicz, K., Sterniuk, A., Kwiecińska, A.: Ultrasonic examination of concrete with one side access in practice. IOP Conf. Ser. Mater. Sci. Eng. 365, 032058 (2018). https://doi.org/10.1088/1757-899X/365/3/03205810.1088/1757-899X/365/3/032058 ↗

97. Korgin, A., Ermakov, V., Zeyd Kilani, L.Z.: Using nondestructive methods for determination types of rebar splices. IOP Conf. Ser. Mater. Sci. Eng. 869, 052031 (2020). https://doi.org/10.1088/1757-899X/869/5/05203110.1088/1757-899X/869/5/052031 ↗

98. Haach, V.G., Ramirez, F.C.: Qualitative assessment of concrete by ultrasound tomography. Constr. Build. Mater. 119, 61–70 (2016). https://doi.org/10.1016/J.CONBUILDMAT.2016.05.05610.1016/J.CONBUILDMAT.2016.05.056 ↗