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Non-destructive Assessment and Health Monitoring of Railway Infrastructures

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Abstract

A continuous increase in the worldwide demand for high-speed traffic, freight tonnage as well as of the train operating frequency is worsening the decay conditions of many railway infrastructures. This occurrence affects economy-related business as well as contributing to rising maintenance costs. It is known that a failure of a railway track may result in tremendous economic losses, legal liabilities, service interruptions and, eventually, fatalities. Parallel to this, requirements to maintain acceptable operational standards are very demanding. In addition to the above, a main issue nowadays in railway engineering is a general lack of funds to allow safety and comfort of the operations as well as a proper maintenance regime of the infrastructures. This is mostly the result of a traditional approach that, on average, tends to invest in high-priority costs, such as safety-related costs, compromising lower-priority interventions (e.g., quality and comfort of the operations). A solution to correct this trend can be moving from a reactive to a proactive action planning approach in order to limit more effectively the likelihood of progressive rail track decay. Within this context, this paper reports a review on the use of traditional and non-destructive testing (NDT) methods for the assessment and health monitoring of railway infrastructures. State-of-the-art research on a stand-alone use of NDT methods or a combination of them for quality control, inspection and maintenance tasks in this subject area is discussed.

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References

  • Al-Qadi IL, Xie W, Roberts R (2008a) Scattering analysis of ground-penetrating radar data to quantify railroad ballast contamination. NDT E Int 41:441–447. https://doi.org/10.1016/j.ndteint.2008.03.004

    Article  Google Scholar 

  • Al-Qadi IL, Xie W, Roberts R (2008b) Time–frequency approach for ground penetrating radar data analysis to assess railroad ballast condition. Res Nondestruct Eval 19:219–237. https://doi.org/10.1080/09349840802015107

    Article  Google Scholar 

  • Al-Qadi I, Xie W, Roberts R (2010a) Optimization of antenna configuration in multiple-frequency ground penetrating radar system for railroad substructure assessment. NDT E Int 43:20–28. https://doi.org/10.1016/j.ndteint.2009.08.006

    Article  Google Scholar 

  • Al-Qadi IL, Xie W, Roberts R, Leng Z (2010b) Data analysis techniques for GPR used for assessing railroad ballast in high radio-frequency environment. J Transp Eng 136:392–399

    Article  Google Scholar 

  • Anbazhagan P (2013) Characterization of rail track ballast fouling using ground penetration radar and field sampling. Centre for infrastructure, Sustainable Transport and Urban Planning Indian Institute of Science, Bangalore

    Google Scholar 

  • Anbazhagan P, Lijun S, Buddhima I, Cholachat R (2011) Model track studies on fouled ballast using ground penetrating radar and multichannel analysis of surface wave. J Appl Geophys 74:175–184. https://doi.org/10.1016/j.jappgeo.2011.05.002

    Article  Google Scholar 

  • Anbazhagan P, Dixit PSN, Bharatha TP (2016) Identification of type and degree of railway ballast fouling using ground coupled GPR antennas. J Appl Geophys 126:183–190. https://doi.org/10.1016/j.jappgeo.2016.01.018

    Article  Google Scholar 

  • Annan AP, Davis JL (1997) Ground penetrating radar—coming of age at last. In: Gubins AG (ed) Proceedings of exploration ‘97: fourth decennial international conference on mineral exploration, pp 515–522

  • Arastounia M (2015) Automated recognition of railroad infrastructure in rural areas from LIDAR data. Remote Sens 7:14916–14938. https://doi.org/10.3390/rs71114916

    Article  Google Scholar 

  • Artagan SS (2018) Use of ground penetrating radar in condition assessment of railway ballast. PhD, University of Pardubice

  • Artagan SS, Borecky V (2015) Applicability of GPR on Turkish railways. Electron J Occup Improv Res 162–174 (special issue)

  • Auer F (2013) Multi-function track recording cars. RTR 34:32–36

    Google Scholar 

  • Aursudkij B (2007) A laboratory study of railway ballast behaviour under traffic loading and tamping maintenance. PhD Thesis, University of Nottingham, Nottingham

  • Barrias A, Casas J, Villalba S (2016) A review of distributed optical fiber sensors for civil engineering applications. Sensors 16:748. https://doi.org/10.3390/s16050748

    Article  Google Scholar 

  • Barta J (2010) A methodology for geophysical investigation of track defects. Proc Inst Mech Eng Part F J Rail Rapid Transit 224:237–244. https://doi.org/10.1243/09544097JRRT331

    Article  Google Scholar 

  • Beben D (2011) Application of the interferometric radar for dynamic tests of corrugated steel plate (CSP) culvert. NDT E Int 44:405–412. https://doi.org/10.1016/j.ndteint.2011.04.001

    Article  Google Scholar 

  • Benedetto A, Pajewski L (2015) Civil engineering applications of ground penetrating radar. Springer, Berlin

    Book  Google Scholar 

  • Benedetto A, Tosti F, Bianchini Ciampoli L et al (2017) Railway ballast condition assessment using ground-penetrating radar—an experimental, numerical simulation and modelling development. Constr Build Mater 140:508–520. https://doi.org/10.1016/j.conbuildmat.2017.02.110

    Article  Google Scholar 

  • Berggren E (2009) Railway track stiffness dynamic measurements and evaluation for efficient maintenance. Royal Institute of Technology, Stockholm University, ​Sweden

  • Berkovic G, Shafir E (2012) Optical methods for distance and displacement measurements. Adv Opt Photonics 4:441. https://doi.org/10.1364/AOP.4.000441

    Article  Google Scholar 

  • Bianchini Ciampoli L, Tosti F, Brancadoro MG et al (2017a) A spectral analysis of ground-penetrating radar data for the assessment of the railway ballast geometric properties. NDT E Int 90:39–47. https://doi.org/10.1016/j.ndteint.2017.05.005

    Article  Google Scholar 

  • Bianchini Ciampoli L, Tosti F, Calvi A et al (2017b) Efficient practices in railway ballast maintenance and quality assessment using GPR. In: International congress on transport infrastructure and systems, pp 419–424

  • Bianchini Ciampoli L, Artagan SS, Tosti F et al (2018a) A comparative investigation of the effects of concrete sleepers on the GPR signal for the assessment of railway ballast. In: 17th International conference on ground penetrating radar (GPR 2018). Rapperswil, Switzerland

  • Bianchini Ciampoli L, Artagan SS, Tosti F et al (2018b) A GPR spectral-based processing method for minimisation of concrete sleepers effects in railway ballast investigations. In: TSP 2018 41st international conference on telecommunications and signal processing. Athens

  • Bin Osman MH, Kaewunruen S, Jack A (2018) Optimisation of schedules for the inspection of railway tracks. Proc Inst Mech Eng Part F J Rail Rapid Transit 232:1577–1587. https://doi.org/10.1177/0954409717721634

    Article  Google Scholar 

  • Bond LJ, Doctor SR, Griffin JW et al (2011) Damage assessment technologies for prognostics and proactive management of materials degradation. Nucl Technol 173:46–55. https://doi.org/10.13182/NT173-46

    Article  Google Scholar 

  • Borecky V, Haburaj F, Artagan SS, Routil L (2019) Analysis of GPR and FWD data dependency based on road test field surveys. Mater Eval 77:214–225

    Google Scholar 

  • Brancadoro MG, Ciampoli LB, Ferrante C et al (2017) An investigation into the railway ballast grading using GPR and image analysis. In: 2017 9th International workshop on advanced ground penetrating radar (IWAGPR). IEEE, pp 1–4

  • Burrow MPN, Chan AHC, Shein A (2007) Deflectometer-based analysis of ballasted railway tracks. Proc Inst Civ Eng Geotech Eng 160:169–177. https://doi.org/10.1680/geng.2007.160.3.169

    Article  Google Scholar 

  • Campanella CE, Cuccovillo A, Campanella C et al (2018) Fibre bragg grating based strain sensors: review of technology and applications. Sensors 18:3115

    Article  Google Scholar 

  • Carpenter D, Jackson PJ, Jay A (2004) Enhancement of the GPR method of railway trackbed investigation by the installation of radar detectable geosynthetics. NDT E Int 37:95–103. https://doi.org/10.1016/j.ndteint.2003.06.003

    Article  Google Scholar 

  • Chandra S, Agarwal MM (2008) Railway engineering. Oxford University Press, New York

    Google Scholar 

  • Chang L, Dollevoet RPBJ, Hanssen RF (2017) Nationwide railway monitoring using satellite SAR interferometry. IEEE J Sel Top Appl Earth Obs Remote Sens 10:596–604. https://doi.org/10.1109/JSTARS.2016.2584783

    Article  Google Scholar 

  • Clark MR, Gillespie R, Kemp T et al (2001) Electromagnetic properties of railway ballast. NDT E Int 34:305–311

    Article  Google Scholar 

  • Clark M, Gordon M, Forde MC (2004) Issues over high-speed non-invasive monitoring of railway trackbed. NDT E Int 37:131–139. https://doi.org/10.1016/j.ndteint.2003.05.002

    Article  Google Scholar 

  • da Costa Marques Pimentel RM, Barbosa MCB, Costa NMS et al (2008) Hybrid fiber-optic/electrical measurement system for characterization of railway traffic and its effects on a short span bridge. IEEE Sens J 8:1243–1249. https://doi.org/10.1109/JSEN.2008.926519

    Article  Google Scholar 

  • Daniels DJ (2004) Ground penetrating radar. 2nd edn. The Institution of Electrical Engineers, London

    Book  Google Scholar 

  • De Bold RP (2011) Non-destructive evaluation of railway trackbed ballast. PhD Thesis, The University of Edinburgh

  • De Chiara F, Fontul S, Fortunato E (2014) GPR laboratory tests for railways materials dielectric properties assessment. Remote Sens 6:9712–9728. https://doi.org/10.3390/rs6109712

    Article  Google Scholar 

  • Donohue S, Gavin K, Tolooiyan A (2011) Geophysical and geotechnical assessment of a railway embankment failure. Surf Geophys. https://doi.org/10.3997/1873-0604.2010040

    Article  Google Scholar 

  • Du LZ, Zhang XP, Qiu JH, Liu WB (2011) Study on ground penetrating radar in detecting of zero-temperature boundary under the railway bed. Adv Mater Res 255–260:3975–3978. https://doi.org/10.4028/www.scientific.net/AMR.255-260.3975

    Article  Google Scholar 

  • EN 13848-5 (2008) EN 13848-5:2008+A1:2010: Railway applications—track—track geometry quality—part 5: geometric quality levels—plain line. 26

  • Eriksen A, Venables B, Gascoyne J, Bandyopadhyay S (2006) Benefits of high speed GPR to manage trackbed assets and renewal strategies. In: PWI conference, June, Brisbane, Australia

  • ESA Radar Course 3—Synthetic Aperture Radar—ERS Radar Course 3—ESA Operational EO Missions—Earth Online—ESA. https://earth.esa.int/web/guest/missions/esa-operational-eo-missions/ers/instruments/sar/applications/radar-courses/content-3/-/asset_publisher/mQ9R7ZVkKg5P/content/radar-course-3-synthetic-aperture-radar. Accessed 16 Nov 2018

  • Esveld C (2001) Modern railway track, 2nd edn. MRT-Productions, The Netherlands

    Google Scholar 

  • Faghihi Kashani H (2017) Evaluating the influence of breakdown fouling and moisture content on mechanical and electromagnetic properties of ballasted railroad track. PhD Thesis, University of Massachusetts, Amherst

  • Farritor S, Arnold R, Norman C (2008) Method and apparatus for noncontact relative rail displacement, track modulus and stiffness measurement by a moving rail vehicle. US Patent 7,403,296 B2, University of Nebraska, Lincoln

  • Fernandes F, Pereira M, Gomes Correia A et al (2008) Assessment of layer thickness and uniformity in railway embankments with ground penetrating radar. In: Ellis E, Thom N, Yu H-S et al (eds) Advances in transportation geotechnics. CRC Press, Boca Raton, pp 571–575

    Google Scholar 

  • Filograno ML, Corredera Guillen P, Rodriguez-Barrios A et al (2012) Real-time monitoring of railway traffic using fiber bragg grating sensors. IEEE Sens J 12:85–92. https://doi.org/10.1109/JSEN.2011.2135848

    Article  Google Scholar 

  • Fontul S, Mínguez R, Solla M, Santos-Assunção S (2016) The use of geophysics for the condition assessment of railway infrastructure. In: Riveiro B, Solla M (eds) Non-destructive techniques for the evaluation of structures and infrastructure. CRC Press, Boca Raton

    Google Scholar 

  • Fontul S, Paixão A, Solla M, Pajewski L (2018) Railway track condition assessment at network level by frequency domain analysis of GPR data. Remote Sens 10:559. https://doi.org/10.3390/rs10040559

    Article  Google Scholar 

  • Fortunato E, Fontul S, Paixão A et al (2016) Geotechnical aspects of the rehabilitation of a freight railway line in Africa. In: Pombo J (ed) Proceedings of the third international conference on railway technology: research, development and maintenance in Cagliari, Sardinia, Italy. Civil-Comp Press, Stirlingshire

  • Fumeo E, Oneto L, Anguita D (2015) Condition based maintenance in railway transportation systems based on big data streaming analysis. Procedia Comput Sci 53:437–446. https://doi.org/10.1016/j.procs.2015.07.321

    Article  Google Scholar 

  • Gallagher GP, Leiper Q, Williamson R et al (1999) The application of time domain ground penetrating radar to evaluate railway track ballast. NDT E Int 32:463–468

    Article  Google Scholar 

  • Geraads S, Charachon B, Loeffler O, Omnes G (2002) Applying a wavenumber notch filter to remove interferences caused by railway sleepers from a GPR section. In: Proceedings of SPIE—the international society for optical engineering, pp 715–718

  • Göbel C, Hellmann R, Petzold H (1994) Georadar-model and in situ investigations for inspection of railway tracks. In: Fifth International Conference on Ground Penetrating Radar. Kitchener, Canada. Waterloo Centre for Groundwater Research, pp 1121–1133

  • Güler H (2017) Optimisation of railway track maintenance and renewal works by genetic algorithms. J Croat Assoc Civ Eng 68:979–993. https://doi.org/10.14256/JCE.1458.2015

    Article  Google Scholar 

  • Guo Z, Dong H, Xiao J (2015) Detection of permafrost subgrade using GPR: a case examination on Qinghai-Tibet Plateau. J Geosci Environ Prot 03:35–47. https://doi.org/10.4236/gep.2015.35005

    Article  Google Scholar 

  • He R, Ai B, Wang G et al (2016) High-speed railway communications. IEEE Veh Technol Mag 11:49–58. https://doi.org/10.1109/MVT.2016.2564446

    Article  Google Scholar 

  • Huang Q, Crosetto M, Monserrat O, Crippa B (2017) Displacement monitoring and modelling of a high-speed railway bridge using C-band Sentinel-1 data. ISPRS J Photogramm Remote Sens 128:204–211. https://doi.org/10.1016/j.isprsjprs.2017.03.016

    Article  Google Scholar 

  • Hugenschmidt J (2000) Railway track inspection using GPR. J Appl Geophys 43:147–155

    Article  Google Scholar 

  • Hunt GA (2005) Review of the effects of track stiffness on track performance. Research Project T372, AEATR-II-2004-018, Rail Safety and Standards Board

  • Hyslip JP (2007) Substructure maintenance management - its time has come. In: Proceedings of the AREMA conference, Chicago, 9–12 September

  • Hyslip JP, Smith SS, Olhoeft GR, Selig ET (2003) Assessment of railway track substructure condition using ground penetrating radar. In: Proceedings of the 2003 Annual Conference of AREMA,Chicago, Illinois, USA, Expanded Abstracts

  • Ibrekk PAY (2015) Detecting anomalies and water distribution in railway ballast using GPR. Master Thesis, Norges teknisk-naturvitenskapelige universitet

  • Jack R, Jackson P (1999) Imaging attributes of railway track formation and ballast using ground probing radar. NDT E Int 32:457–462

    Article  Google Scholar 

  • Jol HM (ed) (2009) Ground penetrating radar: theory and applications, 1st edn. Elsevier, Amsterdam

    Google Scholar 

  • Kashani HF, Ho CL, Oden CP, Smith SS (2015) Model track studies by ground penetrating radar (GPR) on ballast with different fouling and geotechnical properties. ASME, p V001T01A006

  • Kerr AD (2000) On the determination of the rail support modulus k. Int J Solids Struct 37:4335–4351. https://doi.org/10.1016/S0020-7683(99)00151-1

    Article  Google Scholar 

  • Kerrouche A, Leighton J, Boyle WJO et al (2008) Strain measurement on a rail bridge loaded to failure using a fiber Bragg grating-based distributed sensor system. IEEE Sens J 8:2059–2065. https://doi.org/10.1109/JSEN.2008.2006704

    Article  Google Scholar 

  • Khakiev Z, Shapovalov V, Kruglikov A, Yavna V (2014) GPR determination of physical parameters of railway structural layers. J Appl Geophys 106:139–145. https://doi.org/10.1016/j.jappgeo.2014.04.017

    Article  Google Scholar 

  • Khouy IA (2013) Cost-effective maintenance of railway track geometry a shift from safety limits to maintenance limits. PhD Thesis, Luleå University of Technology, Luleå

  • Kim H, Roberts C, Saade L, Weston P (2014) Measuring the deflection of a sequence of sleepers at a transition zone. In: 6th IET conference on railway condition monitoring (RCM 2014). Institution of Engineering and Technology, Birmingham, UK, p 6.2.2

  • Kojima T, Tsunashima H, Matsumoto A (2010) Fault detection of railway track by multi-resolution analysis. In: Sciutto G (ed) WIT transactions on state of the art in science and engineering, 1st edn. WIT Press, Ashurst, pp 99–108

    Google Scholar 

  • Labropoulos KC, Moundoulas P, Moropoulou A (2010) Methodology for the monitoring, control and warning of defects for preventive maintenance of rails. In: Sciutto G (ed) WIT transactions on state of the art in science and engineering, 1st edn. WIT Press, Ashurst, pp 89–98

    Google Scholar 

  • Leng Z, Al-Qadi I (2010) Railroad ballast evaluation using ground-penetrating radar: laboratory investigation and field validation. Transp Res Rec J Transp Res Board 2159:110–117. https://doi.org/10.3141/2159-14

    Article  Google Scholar 

  • Li D, Read D, Thompson H et al (2010) Evaluation of ground penetrating radar technologies for assessing track substructure conditions. In: Proceedings of AREMA 2010 Annual Conference. Orlando, FL

  • Liao L, Yang X, Du P (2008) Processing GPR detection data of railway subgrade. China Railw Sci 3(29):18–23 (in Chinese)

    Google Scholar 

  • Lichtberger B (2007) The track system and its maintenance. RTR special, pp 14–22

  • Lidén T (2015) Railway infrastructure maintenance—a survey of planning problems and conducted research. Transp Res Procedia 10:574–583. https://doi.org/10.1016/j.trpro.2015.09.011

    Article  Google Scholar 

  • Liu X, Dick CT, Saat MR (2014) Optimizing ultrasonic rail defect inspection to improve transportation safety and efficiency. T&DI Congress 2014. American Society of Civil Engineers, Orlando, pp 765–774

    Chapter  Google Scholar 

  • Loveday P, Ramatlo D, Burger F (2016) Monitoring of rail track using guided wave ultrasound. In: Proceedings of the 19th world conference on non-destructive testing (WCNDT 2016), Munich, Germany (2016), pp 3341–3348

  • Lyngby N, Hokstad P, Vatn J (2008) RAMS management of railway tracks. In: Misra KB (ed) Handbook of performability engineering. Springer, London, pp 1123–1145

    Chapter  Google Scholar 

  • Malar R, Jayalakshmy S (2015) Detection of cracks and missing fasteners in railway lines using structure topic model. IJISET - Int J Innov Sci Eng Technol 2(10):369–375

    Google Scholar 

  • Manacorda G, Morandi D, Sarri A, Staccone G (2002) Customized GPR system for railroad track verification. In: Ninth international conference on ground penetrating radar (GPR2002). International Society for Optics and Photonics, pp 719–723

  • Mariani S, Nguyen T, Phillips RR et al (2013) Noncontact ultrasonic guided wave inspection of rails. Struct Health Monit Int J 12:539–548. https://doi.org/10.1177/1475921713498533

    Article  Google Scholar 

  • Maturana RM, Bautista BD, Aguacil ÁA et al (2011) Preventive maintenance of railway infrastructures using GPR–ground penetrating radar. In: Proceedings 9th World Congress on Railway Research. Lille, France

  • Mazzeo PL, Stella E, Nitti M, Distante A (2010) Potential dangerous object detection on railway ballast using digital image processing. In: Sciutto G (ed) WIT transactions on state of the art in science and engineering, 1st edn. WIT Press, Ashurst, pp 79–88

    Google Scholar 

  • Miura S, Takai H, Uchida M, Fukada Y (1998) The mechanism of railway tracks. Jpn Railw Transp Rev 3:38–45

    Google Scholar 

  • Miyayama H, Ohya T, Katori T, Izumi T (2010) Obstacle recognition from forward view images from trams. In: Sciutto G (ed) WIT transactions on state of the art in science and engineering, 1st edn. WIT Press, Ashurst, pp 137–147

    Google Scholar 

  • Morant A, Larsson-Kråik PO, Kumar U (2016) Data-driven model for maintenance decision support: a case study of railway signalling systems. Proc Inst Mech Eng Part F J Rail Rapid Transit 230:220–234. https://doi.org/10.1177/0954409714533680

    Article  Google Scholar 

  • Moretti M, Triglia M, Maffci G (2004) ARCHIMEDE—the first european diagnostic train for global monitoring of railway infrastructure. In: IEEE intelligent vehicles symposium, 2004. IEEE, Parma, pp 522–526

  • Moustakidis S, Kappatos V, Karlsson P et al (2014) An intelligent methodology for railways monitoring using ultrasonic guided waves. J Nondestruct Eval 33:694–710. https://doi.org/10.1007/s10921-014-0264-6

    Article  Google Scholar 

  • Nålsund R (2014) Railway ballast characteristics, selection criteria and performance. PhD Thesis, Norwegian University of Science and Technology, Trondheim

  • Narayanan RM, Jakub JW, Li D, Elias SEG (2004) Railroad track modulus estimation using ground penetrating radar measurements. NDT E Int 37:141–151. https://doi.org/10.1016/j.ndteint.2003.05.003

    Article  Google Scholar 

  • Neal A (2004) Ground-penetrating radar and its use in sedimentology: principles, problems and progress. Earth Sci Rev 66:261–330. https://doi.org/10.1016/j.earscirev.2004.01.004

    Article  Google Scholar 

  • Nurmikolu A (2012) Key aspects on the behaviour of the ballast and substructure of a modern railway track: research-based practical observations in Finland. J Zhejiang Univ Sci A 13:825–835. https://doi.org/10.1631/jzus.A12ISGT1

    Article  Google Scholar 

  • Omondi B, Aggelis DG, Sol H, Sitters C (2016) Improved crack monitoring in structural concrete by combined acoustic emission and digital image correlation techniques. Struct Health Monit Int J 15:359–378. https://doi.org/10.1177/1475921716636806

    Article  Google Scholar 

  • Papaelias MP, Roberts C, Davis CL (2008) A review on non-destructive evaluation of rails: state-of-the-art and future development. Proc Inst Mech Eng Part F J Rail Rapid Transit 222:367–384. https://doi.org/10.1243/09544097JRRT209

    Article  Google Scholar 

  • Peng F (2011) Scheduling of track inspection and maintenance activities in railroad networks. PhD Thesis, University of Illinois

  • Peralta D, Bergmeir C, Krone M et al (2018) Multiobjective optimization for railway maintenance plans. J Comput Civ Eng 32:04018014. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000757

    Article  Google Scholar 

  • Pfeifer N, Briese C (2007) Laser scanning—principles and applications. In: Geo-Siberia 2007-International Exhibition and Scientific Congress. Novosibirsk, Russia

  • Picoux B, Takarli M, Petit C (2011) Non-destructive testing of an experimental pavement. In: Proceedings of the 13th international conference on civil, structural and environmental engineering computing

  • Pieraccini M (2013) Monitoring of civil infrastructures by interferometric radar: a review. Sci World J 2013:1–8. https://doi.org/10.1155/2013/786961

    Article  Google Scholar 

  • Pieraccini M, Fratini M, Parrini F et al (2004) High-speed CW step-frequency coherent radar for dynamic monitoring of civil engineering structures. Electron Lett 40:907. https://doi.org/10.1049/el:20040549

    Article  Google Scholar 

  • Pinto N, Ribeiro CA, Gabriel J, Calçada R (2015) Dynamic monitoring of railway track displacement using an optical system. Proc Inst Mech Eng Part F J Rail Rapid Transit 229:280–290. https://doi.org/10.1177/0954409713509980

    Article  Google Scholar 

  • Ponnuswamy S (2012) Railway transportation: engineering, operation and management. Alpha Science International, Oxford

    Google Scholar 

  • Prasad A (2016) Various cost effective maintenance practices for conventional track structure. In: AREMA 2016 annual conference & exposition, Orlando

  • Priest JA, Powrie W (2009) Determination of dynamic track modulus from measurement of track velocity during train passage. J Geotech Geoenviron Eng 135:1732–1740. https://doi.org/10.1061/(ASCE)GT.1943-5606.0000130

    Article  Google Scholar 

  • Profillidis VA (2006) Railway management and engineering. Ashgate, Farnham

    Google Scholar 

  • Pyrgidis C (2016) Railway transportation systems: design, construction and operation. CRC Press, Boca Raton

    Book  Google Scholar 

  • Quiroga L, Schnieder E (2013) Railway systems. In: Czichos H (ed) Handbook of technical diagnostics. Springer, Berlin, pp 519–537

    Chapter  Google Scholar 

  • Real J, Salvador P, Montalbán L, Bueno M (2011) Determination of rail vertical profile through inertial methods. Proc Inst Mech Eng Part F J Rail Rapid Transit 225:14–23. https://doi.org/10.1243/09544097JRRT353

    Article  Google Scholar 

  • RFI (2018) Diagnostics services catalogue 2018

  • Riveiro B, Solla M (eds) (2016) Non-destructive techniques for the evaluation of structures and infrastructure. CRC Press, Boca Raton

    Google Scholar 

  • Roberts R, Al-Qadi IL, Tutumluer E, Kathage A (2007) Ballast fouling assessment using 2 GHz horn antennas-GPR and ground truth comparison from 238 km of track. In: 9th International railway engineering conference, Railway Engineering 2007, London, UK, June 20–21, 2007

  • Roberts R, Rudy J, GSSI S (2006) Railroad ballast fouling detection using ground penetrating radar. A new approach based on scattering from voids. ECNDT 2006–Th 45 1

  • Rosen PA, Hensley S, Joughin IR et al (2000) Synthetic aperture radar interferometry. Proc IEEE 88:333–382. https://doi.org/10.1109/5.838084

    Article  Google Scholar 

  • Saarenketo T (2006) Electrical properties of road materials and subgrade soils and the use of ground penetrating radar in traffic infrastructure surveys. PhD Thesis, University of Oulu, Oulu

  • Saarenketo T, Silvast M, Noukka J (2003) Using GPR on railways to identify frost susceptible areas. In: Proceedings of the international conference on exhibition railway engineering 2003 held on London, UK 30 April–1 May 2003—CDROM

  • Salvador P, Naranjo V, Insa R, Teixeira P (2016) Axlebox accelerations: their acquisition and time–frequency characterisation for railway track monitoring purposes. Measurement 82:301–312. https://doi.org/10.1016/j.measurement.2016.01.012

    Article  Google Scholar 

  • Santa-aho S, Nurmikolu A, Vippola M (2017) Automated ultrasound-based inspection of rails: review. Int J Railw 10:21–29. https://doi.org/10.7782/IJR.2017.10.2.021

    Article  Google Scholar 

  • Schmidt S, Shah S, Moaveni M et al (2017) Railway ballast permeability and cleaning considerations. Transp Res Rec J Transp Res Board 2607:24–32. https://doi.org/10.3141/2607-05

    Article  Google Scholar 

  • Schramm RE, Clark AV, McGuire TJ et al (1993) Rail quality and maintenance for modern railway operation. In: Kalker JJ et al (ed), pp. 99–108. Kluwer Academic, Dordrecht

  • Selig ET, Waters JM (1994) Track geotechnology and substructure management. Thomas Telford

  • Shao W, Bouzerdoum A, Phung SL et al (2011) Automatic classification of ground-penetrating-radar signals for railway-ballast assessment. IEEE Trans Geosci Remote Sens 49:3961–3972. https://doi.org/10.1109/TGRS.2011.2128328

    Article  Google Scholar 

  • Sharma S, Cui Y, He Q et al (2018) Data-driven optimization of railway maintenance for track geometry. Transp Res Part C Emerg Technol 90:34–58. https://doi.org/10.1016/j.trc.2018.02.019

    Article  Google Scholar 

  • Shihab S, Zahran O, Al-Nuaimy W (2002) Time-frequency characteristics of ground penetrating radar reflections from railway ballast and plant. Silver Spring, IEEE. In: 7th IEEE High Frequency Postgraduate Student Colloquium

  • Soleimanmeigouni I, Ahmadi A, Letot C et al (2016) Cost-based optimization of track geometry inspection. In: 11th World Congress on Railway Research (WCRR). Milano, Italy

  • Solomon B (2001) Railway maintenance: the men and machines that keep the railroads running. MBI Publishing Company, London

    Google Scholar 

  • Soni A, Robson S, Gleeson B (2014) Extracting rail track geometry from static terrestrial laser scans for monitoring purposes. Int Arch Photogramm Remote Sens Spat Inf Sci XL–5:553–557. https://doi.org/10.5194/isprsarchives-xl-5-553-2014

    Article  Google Scholar 

  • Suits LD, Sheahan TC, Su L-J et al (2010) An evaluation of fouled ballast in a laboratory model track using ground penetrating radar. Geotech Test J 33:103045. https://doi.org/10.1520/GTJ103045

    Article  Google Scholar 

  • Sussmann TR, Thompson HB (2017) Track structural design for maintenance and rehabilitation with automated track inspection data. In: International Heavy Haul Association. Sout Africa, Cape Town

  • Sussmann TR, Selig ET, Hyslip JP (2003) Railway track condition indicators from ground penetrating radar. NDT E Int 36:157–167

    Article  Google Scholar 

  • Tosti F, Benedetto A, Calvi A, Bianchini Ciampoli L (2016) Laboratory Investigations for the Electromagnetic Characterization of Railway Ballast through GPR. In: Proceedings of the 16th international conference on ground penetrating radar, Hong Kong, June 13–16, 2016. https://doi.org/10.1109/icgpr.2016.7572605

  • Tosti F, Bianchini Ciampoli L, Calvi A et al (2017) An investigation into the railway ballast dielectric properties using different GPR antennas and frequency systems. NDT E Int. https://doi.org/10.1016/j.ndteint.2017.10.003

    Article  Google Scholar 

  • Trampus P (2014) NDT challenges and responses—an overview. E-J Nondestruct Test 19:11

    Google Scholar 

  • Tsunashima H, Naganuma Y, Matsumoto A et al (2012) Condition monitoring of railway track using in-service vehicle. In: Perpinya X (ed) Reliability and safety in railway, Intech, pp 333–356. https://doi.org/10.5772/35205

  • Turner C, Thoppur Ravi P, Tiwari A et al (2017) A software architecture for autonomous maintenance scheduling: scenarios for UK and European rail. Int J Transp Dev Integr 1:371–381. https://doi.org/10.2495/TDI-V1-N3-371-381

    Article  Google Scholar 

  • Tutumluer E, Moaveni M, Hart JM et al (2016) Field imaging-based assessment of in-service ballast condition. In: AREMA 2016 annual conference & exposition, Orlando, Florida

  • Tzanakakis K (2013) The railway track and its long term behaviour: a handbook for a railway track of high quality. Springer, Heidelberg

    Book  Google Scholar 

  • UIC (2002) UIC leaflet 712, rail defects

  • UIC (2010) Final report—INNOTRACK (innovative track systems)

  • Van Vreden PH, Gräbe P, Hartman AM (2012) Characterising railway substructure layers for rehabilitation design. In: Abstracts of the 31st Southern African transport conference (SATC 2012), p 12

  • Varandas JN, Hölscher P, Silva MAG (2011) Dynamic behaviour of railway tracks on transitions zones. Comput Struct 89:1468–1479. https://doi.org/10.1016/j.compstruc.2011.02.013

    Article  Google Scholar 

  • Villarejo R, Galar D, Johansson C-A, et al (2014) Context awareness and railway maintenance. In: Proceedings of the 3rd international workshop and congress on eMaintenance. Luleå, Sweden, pp 17–24

  • Wang P, Wang L, Chen R et al (2016) Overview and outlook on railway track stiffness measurement. J Mod Transp 24:89–102. https://doi.org/10.1007/s40534-016-0104-8

    Article  Google Scholar 

  • Wei C, Xin Q, Chung WH et al (2011) Real-time train wheel condition monitoring by fiber Bragg grating sensors. Int J Distrib Sens Netw 8:409048. https://doi.org/10.1155/2012/409048

    Article  Google Scholar 

  • Woodward PK, Kennedy J, Laghrouche O et al (2014) Study of railway track stiffness modification by polyurethane reinforcement of the ballast. Transp Geotech 1:214–224. https://doi.org/10.1016/j.trgeo.2014.06.005

    Article  Google Scholar 

  • Xiong Z, Li Q, Mao Q, Zou Q (2017) A 3D laser profiling system for rail surface defect detection. Sensors 17:1791. https://doi.org/10.3390/s17081791

    Article  Google Scholar 

  • Yan L, Zhang Z, Wang P et al (2011) Fiber sensors for strain measurements and axle counting in high-speed railway applications. IEEE Sens J 11:1587–1594. https://doi.org/10.1109/JSEN.2010.2086058

    Article  Google Scholar 

  • Yang LA, Powrie W, Priest JA (2009) Dynamic stress analysis of a ballasted railway track bed during train passage. J Geotech Geoenviron Eng 135:680–689. https://doi.org/10.1061/(ASCE)GT.1943-5606.0000032

    Article  Google Scholar 

  • Ye XW, Su YH, Han JP (2014) Structural health monitoring of civil infrastructure using optical fiber sensing technology: a comprehensive review. Sci World J 2014:1–11. https://doi.org/10.1155/2014/652329

    Article  Google Scholar 

  • Zakeri J-A, Rezvani FH (2012) concrete sleepers construction; sleeper defects; sleeper failure. Int J Constr Eng Manag 1(1):1–5

    Google Scholar 

  • Zhang Q, Gascoyne J, Eriksen A (2011) Characterisation of ballast materials in trackbed using ground penetrating radar: Part 1. In: Railway condition monitoring and non-destructive testing (RCM 2011), 5th IET conference on. IET, pp 1–8

  • Zhu D-B, Geng J-N, Huang M (2013) Algorithm for suppressing sleeper interferences in railway subgrade GPR signals. J China Railw Soc 5:75–79. https://doi.org/10.3969/j.issn.1001-8360.2013.05.012

    Article  Google Scholar 

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Artagan, S.S., Bianchini Ciampoli, L., D’Amico, F. et al. Non-destructive Assessment and Health Monitoring of Railway Infrastructures. Surv Geophys 41, 447–483 (2020). https://doi.org/10.1007/s10712-019-09544-w

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