Reverse time migration: introducing a new imaging technique for ultrasonic measurements in civil engineering

References

1. BallierG., MayerK., LangenbergK.‐J., SchulzeS. and KrauseM.2012. Improvements on tendon duct examination by modelling and imaging with synthetic aperture and one‐way inverse methods. 18th World Conference on Nondestructive Testing, Durban, South Africa.
   [Google Scholar]
2. Baumann‐WilkeM.2009. Amplitudenbewahrende akustische Reverse‐Time Migration: theorie und numerische Anwendung. Master's thesis, Technische Universität Bergakademie Freiberg, Freiberg, Germany.
   [Google Scholar]
3. BaysalE., KosloffD.D. and SherwoodJ.W.C.1983. Reverse time migration. Geophysics48, 1514–1524.
   [Google Scholar]
4. BeniwalS. and GanguliA.2015. Defect detection around rebars in concrete using focused ultrasound and reverse time migration. Ultrasonics62, 112–125.
   [Google Scholar]
5. BhutadaG., AnandR. and SaxenaS.2011. Edge preserved image enhancement using adaptive fusion of images denoised by wavelet and curvelet transform. Digital Signal Processing21 (1), 118–130.
   [Google Scholar]
6. BohlenT.2002. Parallel 3‐D viscoelastic finite difference seismic modelling. Computers & Geosciences28(8), 887–899.
   [Google Scholar]
7. BretaudeauF., BrossierR., LeparouxD., AbrahamO. and VirieuxJ.2013. 2D elastic full‐waveform imaging of the near‐surface: application to synthetic and physical modelling data sets. Near Surface Geophysics11, 307–316.
   [Google Scholar]
8. CraseE., PicaA., NobleM., McDonaldJ. and TarantolaA.1990. Robust elastic nonlinear waveform inversion: application to real data. Geophysics55(5), 527–538.
   [Google Scholar]
9. DiazE. and SavaP.2012. Understanding the reverse time migration backscattering: noise or signal?Proceedings of the 82nd Annual International Meeting. Society of Exploration Geophysicists.
   [Google Scholar]
10. FarmerP.A., JonesI.F., ZhouH., BloorR.I. and GoodwinM.C.2006. Application of reverse time migration to complex imaging problems. First Break24, 65–73.
    [Google Scholar]
11. FomelS., SavaP., VladI., LiuY. and BashkardinV.2013. Madagascar: open‐source software project for multidimensional data analysis and reproducible computational experiments. Journal of Open Research Software.
    [Google Scholar]
12. FrieseM., MielentzF. and WiggenhauserH.2008. Ultraschall‐Linienarray zur Untersuchung von Betonbauteilen. Tagungsbandzur Fachtagung Bauwerksdiagnose, Praktische Anwendungen Zerstörungsfreier Prufungen und Zukunftsaufgaben. 21.‐22.02.2008, Berlin, Berichtsband BB 112‐CD, Poster 9.
    [Google Scholar]
13. GeoltrainS. and BracJ.1993. Can we image complex structures with first‐arrival traveltime?Geophysics53, 564–575.
    [Google Scholar]
14. GrohmannM., NiederleithingerE. and BuskeS.2016. Geometry determination of a foundation slab using the ultrasonic echo technique and geophysical migration methods. Journal of Nondestructive Evaluation35(1), 17.
    [Google Scholar]
15. KrauseM.2012. Localization of grouting faults in post tensioned concrete structures. In: Non‐Destructive Assessment of Concrete Structures: Reliability and Limits of Single and Combined Techniques, State‐of‐the‐Art Report of the RILEM Technical Committee 207‐INR, Chapter 6 (ed. D.Breysse), pp. 263–304. Springer.
    [Google Scholar]
16. KrauseM., MilmannB., MielentzF., StreicherD., RedmerB., MayerK. et al 2008. Ultrasonic imaging methods for investigation of post‐ten‐sioned concrete structures: a study of interfaces at artificial grouting faults and its verification. Journal of Nondestructive Evaluation27, 67–82.
    [Google Scholar]
17. KrautkrämerJ. and KrautkrämerH.1986. Werkstoffprüfung mit Ultraschall. Springer.
    [Google Scholar]
18. KurzmannA.2012. Applications of 2D and 3D full waveform tomography in acoustic and viscoacoustic complex media. PhD thesis, Karlsruhe Institut für Technologie, Karlsruhe, Germany.
    [Google Scholar]
19. MaackS.2012. Untersuchungen zum Schallfeld niederfrequenter Ultraschallprüfköpfe für die Anwendung im Bauwesen (Investigations of the sound field of low frequency ultrasonic transducers for application in civil engineering). PhD thesis, BAM Federal Institute for Materials Research and Testing, Berlin, Germany.
    [Google Scholar]
20. MayerK. and ChintaP.M.2012. User Guide of Graphical User Interface inter_saft. Department of Computational Electronics and Photonics. University of Kassel.
    [Google Scholar]
21. McMechanG.A.1983. Migration by extrapolation of time dependent boundary values. Geophysical Prospecting31, 413–420.
    [Google Scholar]
22. MorinR., BasarabA., BidonS. and KouaméD.2015. Motion estimation‐based image enhancement in ultrasound imaging. Ultrasonics60, 19–26.
    [Google Scholar]
23. MüllerS., NiederleithingerE. and BohlenT.2012. Reverse time migration: a seismic imaging technique applied to synthetic ultrasonic data. International Journal of Geophysics.
    [Google Scholar]
24. NiederleithingerE., WolfJ., MielentzF., WiggenhauserH. and PirskawetzS.2015. Embedded ultrasonic transducers for active and passive concrete monitoring. Sensors15(5), 9756–9772.
    [Google Scholar]
25. PalakkalS.2011. Ridgelet and curvelet first generation toolbox @ONLINE.
26. ReinhardtH.‐W.2007. Echo‐Verfahren in der Zerstörungsfreien Zustandsuntersuchung von Betonbauteilen. Beton‐Kalender 2007.
    [Google Scholar]
27. SamokrutovA., ShevaldykinV., BobrovV. and KozlovV.2006. Development of acoustic methods and production of modern digital devices and technologies for ultrasonic non‐destructive testing. ULTRAGARSAS Journal61(4), 12–21.
    [Google Scholar]
28. SavaP. and HillS.J.2009. Overview and classification of wavefield seismic imaging methods. Colorado School of Mines.
    [Google Scholar]
29. SchickertM. and KrauseM.2010. Ultrasonic techniques for evaluation of reinforced concrete structures. In: Non‐destructive Evaluation of Reinforced Concrete Structures, Vol. 2, Chapter 22, Part II (eds. C.Maierhofer, H.‐W.Reinhardt and G.Dobmann), pp. 490–530. Woodhead Publishing.
    [Google Scholar]
30. SchraggeJ., BlumT.E., van WijkK. and AdamL.2015. Full‐wavefield modeling and reverse time migration of laser ultrasound data: a feasibility study. Geophysics80, D553–D563.
    [Google Scholar]
31. SridharS.2011. Digital Image Processing. OUPIndia.
    [Google Scholar]
32. StarckJ.‐L., CandèsE.J. and DonohoD.L.2002. The curvelet transform for image denoising. IEEE11(6), 670–684.
    [Google Scholar]
33. TaffeA.2008. Zur Validierung quantitative zerstörungsfreier Prüfverfahren im Stahlbetonbau am Beispiel der Laufzeitmessung (On the validation of quantitative non destructive test methods in reinforced concrete constructions by the example of time of flight measurements). PhD thesis, RWTH Aachen University, Aachen, Germany.
    [Google Scholar]
34. TimischlF.2015. The contrast‐to‐noise ratio for image quality evaluation in scanning electron microscopy. Scanning37(1), 54–62.
    [Google Scholar]
35. WangL. and YuanF.G.2005. Damage identification in a composite plate using prestack reverse time migration technique. Structural Health Monitoring4, 195–211.
    [Google Scholar]
36. WelvaertM. and RosseelY.2013. On the definition of signal‐to‐noise ratio and contrast‐to‐noise ratio for FMRI data.
37. ZhouL., YuanF.G. and MengW.J.2007. A pre‐stack migration method for damage identification in composite structures. Smart Structures and Systems3, 439–454.
    [Google Scholar]