Muon Tomography of the Interior of a Reinforced Concrete Block: First Experimental Proof of Concept
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Abstract
Abstract Quality assurance and condition assessment of concrete structures is an important topic world-wide due to the aging infrastructure and increasing traffic demands. Common topics include, but are not limited to, localisation of rebar or tendon ducts, geometrical irregularities, cracks, voids, honeycombing or other flaws. Non-destructive techniques such as ultrasound or radar have found regular, successful practical application but sometimes suffer from limited resolution and accuracy, imaging artefacts or restrictions in detecting certain features. Until the 1980s X-ray transmission was used in case of special demands and showed a much better resolution than other NDT techniques. However, due to safety concerns and cost issues, this method is almost never used anymore. Muon tomography has received much attention recently. Novel detectors for cosmic muons and tomographic imaging algorithms have opened up new fields of application, such as the investigation of freight containers. Muon imaging also has the potential to fill some of the gaps currently existing in concrete NDT. As a first step towards practical use and as a proof of concept we used an existing system to image the interior of a reference reinforced 600 kg concrete block. Even with a yet not optimized setup for this kind of investigation, the muon imaging results are at least of similar quality compared to ultrasonic and radar imaging, potentially even better. The data acquisition takes more time and signals contain more noise, but the images allowed to detect the same important features that are visible in conventional high energy X-ray tomography. In our experiment, we have shown that muon imaging has potential for concrete inspection. The next steps include the development of mobile detectors and optimising acquisition and imaging parameters.
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Research context
OpenAlex topics: Geophysical Methods and Applications · Particle Detector Development and Performance · Geophysical and Geoelectrical Methods
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References (32)
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1. European Union Road Federation: Road Asset Management – An ERF position paper for maintaining and improving and efficient road network. http://erf.be/wp-content/uploads/2018/07/Road-Asset-Management-for-web-site.pdf (2018). Accessed 10 July 2020
2. German Road Research Institute (BASt): Bridge Statistics. https://www.bast.de/BASt_2017/DE/Statistik/Bruecken/Brueckenstatistik.pdf (2020). Accessed 10 July 2020.
3. Patrick, C., Dadgert, M.: Sécurité des ponts: éviter un drame. Rapport d'information fait au nom de la commission de l'aménagement du territoire et du développement durable no. 609 (2018–2019), https://www.senat.fr/notice-rapport/2018/r18-609-notice.html (2019). Accessed 8 Feb 2021.
4. Breysse, D. (ed.): 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. RILEM State-of-the-Art Reports. Springer, Dordrecht (2012)
5. Helmerich, R., Niederleithinger, E., Algernon, D., Streicher, D., Wiggenhauser, H.: Bridge inspection and condition assessment in Europe. Transp. Res. Record 2044(1), 31–38 (2008). https://doi.org/10.3141/2044-0410.3141/2044-04 ↗
6. Maierhofer, C., Reinhardt, H.W., Dobmann, G. (eds.): Non-destructive Evaluation of Reinforced Concrete Structures. Vol. 1: Deterioration Processes and Standard Test Methods. CRC Press/Woodhead, Boca Raton (2010)
7. Buyukozturk, O. (ed.): Nondestructive Testing of Materials and Structures: Proceedings of NDTMS-11, Istanbul, Turkey, May 15–18, 2011. RILEM Bookseries, v. 6. Springer, Dordrecht (2013)
8. Balayssac, J.P., Garnier, V. (eds.): Non-destructive Testing and Evaluation of Civil Engineering Structures. Structures Durability in Civil Engineering Set. ISTE Press/Elsevier, London (2018)
9. Kaiser, R.: Muography: Overview and future directions. Philos. Trans. R. Soc. A 377(2137), 20180049 (2019). https://doi.org/10.1098/rsta.2018.004910.1098/rsta.2018.0049 ↗
10. Yang, G., Clarkson, T., Gardner, S., Ireland, D., Kaiser, R., Mahon, D., Al Jebali, R., Shearer, C., Ryan, M.: Novel muon imaging techniques. Philos. Trans. R. Soc. A 377(2137), 20180062 (2019). https://doi.org/10.1098/rsta.2018.006210.1098/rsta.2018.0062 ↗
11. George, E.P.: Cosmic rays measure overburden of tunnel. Commonwealth Engineer, July 1, 455–457 (1955).
12. Tanaka, H., Nagamine, K., Kawamura, N., Nakamura, S.N., Ishida, K., Shimomura, K.: Development of the cosmic-ray muon detection system for probing internal-structure of a volcano. Hyperfine Interact. 138, 521–526 (2001). https://doi.org/10.1023/A:102084310000810.1023/A:1020843100008 ↗
13. Mahon, D., Clarkson, A., Gardner, S., Ireland, D., Al Jebali, R., Kaiser, R., Ryan, M., Shearer, C., Yang, G.: First-of-a-kind muography for nuclear waste characterization. Philos. Trans. R. Soc. A 377(2137), 20180048 (2019). https://doi.org/10.1098/rsta.2018.004810.1098/rsta.2018.0048 ↗
14. Simpson, A., Clarkson, A., Gardner, S., Al Jebali, R., Kaiser, R., Mahon, D., Roe, J., Ryan, M., Shearer, C., Yang, G.: Muon tomography for the analysis of in-container vitrified products. Appl. Radiat. Isot. 157, 109033 (2020). https://doi.org/10.1016/j.apradiso.2019.10903310.1016/j.apradiso.2019.109033 ↗
15. Morishima, K., Kuno, M., Nishio, A., Kitagawa, N., Manabe, Y., Moto, M., Takasaki, F., et al.: Discovery of a big void in khufu’s pyramid by observation of cosmic-ray muons. Nature 552(7685), 386–390 (2017). https://doi.org/10.1038/nature2464710.1038/nature24647 ↗
16. Baccani, G., Bonechi, L., Bongi, M., Casagli, N., Ciaranfi, R., Ciulli, V., D’Alessandro, R., et al.: The reliability of muography applied in the detection of the animal burrows within river levees validated by means of geophysical techniques. J. Appl. Geophys. 191, 104376 (2021). https://doi.org/10.1016/j.jappgeo.2021.10437610.1016/j.jappgeo.2021.104376 ↗
17. Clarkson, A., Hamilton, D.J., Hoek, M., Ireland, D.G., Johnstone, J.R., Kaiser, R., Keri, T., et al.: Characterising encapsulated nuclear waste using cosmic-ray muon tomography. J. Instrum. 10(3), P03020–P03020 (2015). https://doi.org/10.1088/1748-0221/10/03/P0302010.1088/1748-0221/10/03/P03020 ↗
18. Durham, J.M., Guardincerri, E., Morris, C.L., Bacon, J., Fabritius, J., Fellows, S., Poulson, D., Plaud-Ramos, K., Renshaw, J.: Tests of cosmic ray radiography for power industry applications. AIP Adv. 5(6), 067111 (2015). https://doi.org/10.1063/1.492200610.1063/1.4922006 ↗
19. Dobrowolska, M., Velthuis, J., Kopp, A., Perry, M., Pearson, P.: Towards an application of muon scattering tomography as a technique for detecting rebars in concrete. Smart Mater. Struct. 29(5), 055015 (2020). https://doi.org/10.1088/1361-665X/ab7a3f10.1088/1361-665X/ab7a3f ↗
20. Zenoni A, et al.: Historical building stability monitoring by means of a cosmic ray tracking system. Proc. of the 4th Int. Conf. on Advancements in Nuclear Instrument Measurement Methods and their Applications. ANIMMA 2015, 20–24 April 2015 Lisbon: IEEE. https://arxiv.org/pdf/1403.1709.pdf (2014).10.1109/ANIMMA.2015.7465542 ↗
21. Vanini, S., Calvini, P., Checchia, P., Rigoni Garola, A., Klinger, J., Zumerle, G., Bonomi, G., Zenoni, D.A.: Muography of different structures using muon scattering and absorption algorithms. Philos. Trans. R. Soc. A 377(2137), 20180051 (2019). https://doi.org/10.1098/rsta.2018.005110.1098/rsta.2018.0051 ↗
22. Schultz, L.: Cosmic ray muon radiography. Dissertation, Portland State University, Portland, OR, USA (2003)
23. Schultz, L.J., et al.: Statistical reconstruction for cosmic ray muon tomography. IEEE Trans. Image Process. 16(8), 1985–1993 (2007). https://doi.org/10.1109/TIP.2007.90123910.1109/TIP.2007.901239 ↗
24. Daniels, D.J.: Ground Penetrating Radar. Institution of Engineering and Technology, London (2004)10.1049/PBRA015E ↗
25. Jol, H.M.: Ground Penetrating Radar: Theory and Applications. Elsevier, Amsterdam (2008)
26. Hugenschmidt, J., Kalogeropoulos, A., Soldovieri, F., Prisco, G.: Processing strategies for high-resolution GPR Concrete Inspections. NDT E Int. 43(4), 334–342 (2010). https://doi.org/10.1016/j.ndteint.2010.02.00210.1016/j.ndteint.2010.02.002 ↗
27. Lai, W.L., Dérobert, X.: A review of ground penetrating radar application in civil engineering: A 30-year journey from locating and testing to imaging and diagnosis. NDT E Int. 96, 58–78 (2018). https://doi.org/10.1016/j.ndteint.2017.04.00210.1016/j.ndteint.2017.04.002 ↗
28. Krause, M., Mayer, K., Friese, M., Milmann, B., Mielentz, F., Ballier, G.: Progress in ultrasonic tendon duct imaging. Eur. J. Environ. Civil Eng. 15(4), 461–485 (2011). https://doi.org/10.1080/19648189.2011.969334110.1080/19648189.2011.9693341 ↗
29. Wiggenhauser, H., Samokrutov, A.A., Mayer, K., Krause, M., Alekhin, S., Elkin, V.: LAUS – Large aperture ultrasonic system for testing thick concrete structures. In: Int. Symp. Non-Destructive Testing in Civil Engineering (NDT-CE), Berlin, 15 – 17.09.2015. Berlin, Bundesanstalt für Materialforschung und –prüfung (BAM), 2015, 743–746. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000314 (2015)10.1061/(ASCE)IS.1943-555X.0000314 ↗
30. Krause, M.: Ultrasonic echo – physical principals and theory. In: Breysse, D. (ed.) 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, pp. 27–39. Springer, New York (2012)
31. Mayer, K., Cinta, P.M.: User Guide of Graphical User Interface inter_saft. University of Kassel, Department of Computational Electronics and Photonics (2012)
32. Moosavi, R., Grunwald, M., Redmer, B.: Crack detection in reinforced concrete. NDT and E Int. 109, 102190 (2020). https://doi.org/10.1016/j.ndteint.2019.10219010.1016/j.ndteint.2019.102190 ↗