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Volume 12 Number 2
  • ISSN: 1569-4445
  • E-ISSN: 1873-0604

Abstract

ABSTRACT

The ability to non‐invasively detect and monitor internal erosion and piping in earthen embankments is of great value to government agencies and municipalities responsible for maintaining large numbers of civil structures. Internal erosion can be a difficult failure mode of dams and levees to assess using traditional techniques. Surface nuclear magnetic resonance is a promising technology for monitoring these structures due to its direct sensitivity to liquid water. This is a new application for the method, and requires the formulation of a robust modelling framework capable of incorporating three dimensional water content models and topography. Adaptive octree meshes represent an efficient means to perform these calculations, as they are able to adapt and refine in areas where the kernel function is changing rapidly. Given the non‐trivial challenges associated with the development of realistic water content models, we focus on first‐order effects and present six 2.5D flow models representing seepage through a loaded earthen embankment under varying levels of erosional piping. Simulation results show that the employment of multiple surface nuclear magnetic resonance transmitter and receiver loops can provide early detection and effective monitoring of piping under the assumption of a 2.5D water content model. Therefore, the surface nuclear magnetic resonance technique has promise as a means for detection and/or monitoring of internal erosion and piping in earthen embankments.

© European Association of Geoscientists and Engineers © 2014 European Association of Geoscientists and Engineers
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/content/journals/10.3997/1873-0604.2014004
2013-11-01
2024-04-27

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References

  1. BedrosianP.A., BurtonB.L., PowersM.H., MinsleyB.J., PhillipsJ.D. and HunterL.E.2012. Geophysical investigations of geology and structure at the Martis Creek Dam, Truckee, California. Journal of Applied Geophysics77, 7–20.
     [Google Scholar]
  2. BrostenT.R., LlopisJ.L. and KelleyJ.R.2005. Using geophysics to assess the condition of small embankment dams: Final rept. TR‐05‐17, Engineer research and development center Vicksburg, MS Geotechnical and structures lab. http://www.dtic.mil/
  3. ButlerD. and LlopisJ.L.1990. Assessment of anomalous seepage conditions. In: Geotechnical and environmental geophysics. Vol. II: Environmental and groundwater, (ed S.H.Ward ), pp. 153‐173. Tulsa, OK, SEG.
     [Google Scholar]
  4. CarrardT., LawC. and PebayP.2012. A hyper tree grid implimentation for amr mesh manipulation and visualization in vtk. Presented at the 21st International Meshing Roundtable,Sandia National Labs, Springer Heidelberg.
     [Google Scholar]
  5. FauchardC. and MériauxP.2007, Geophysical and geotechnical methods for diagnosing flood protection dikes. Éditions Quae.
     [Google Scholar]
  6. FellR., WanC., CyganiewiczJ. and FosterM.2003. Time for development of internal erosion and piping in embankment dams. Journal of Geotechnical and Geoenvironmental Engineering129, 307–314.
     [Google Scholar]
  7. GeoStudioSeep‐W.2007. Seep/w a finite element groundwater seepage modeling package. Geo‐Slope International.
     [Google Scholar]
  8. GirardJ., LegchenkoA., BoucherM. and BaltassatJ.2008. Numerical study of the variations of magnetic resonance signals caused by surface slope. Journal of Applied Geophysics66, 94–103.
     [Google Scholar]
  9. HertrichM., BraunM. and YaramanciU.2005. Magnetic resonance soundings with separated transmitter and receiver loop. Near Surface Geophysics3, 131–144.
     [Google Scholar]
  10. HertrichM., GreenA.G., BraunM. and YaramanciU.2009. High resolution surface NMR tomography of shallow aquifers based on multioffset measurements. Geophysics74, G47–G59.
     [Google Scholar]
  11. IkardS.J., RevilA., JardaniA., WoodruffW.F., ParekhM. and MooneyM.2012. Saline pulse test monitoring with the self‐potential method to nonintrusively determine the velocity of the pore water in leaking areas of earth dams and embankments. Water Resources Research48.
     [Google Scholar]
  12. InazakiT. and SakamotoT.2005. Geotechnical characterization of levee by integrated geophysical surveying. Presented at the International Symposium on Dam Safety and Detection of Hidden Troubles of Dams and Dikes.
     [Google Scholar]
  13. IronsT., KassM.A. et al. 2012a. Lemma v1: https://lemmasoftware.org.
  14. IronsT., LiY. and McKennaJ.R.2012b. 3D frequency‐domain electromagnetics modeling using decoupled scalar and vector potentials. SEG Technical Program Expanded Abstracts 2012, 1–6.
     [Google Scholar]
  15. LegchenkoA., BaltassatJ.‐M., BobachevA., MartinC., RobainH. and VouillamozJ.‐M.2004. Magnetic resonance sounding applied to aquifer characterization. Ground Water42, 363–373.
     [Google Scholar]
  16. Lehmann‐HornJ., HertrichM., GreenhalghS. and GreenA.2011. Three‐dimensional magnetic field and nmr sensitivity computations incorporating conductivity anomalies and variable‐surface topography. IEEE Transactions on Geoscience and Remote Sensing49, 3878–3891.
     [Google Scholar]
  17. PoddarM.1982. A rectangular loop source of current on a two‐layered earth. Geophysical Prospecting30, 101–114.
     [Google Scholar]
  18. SchroederW., MartinK. and LorensenB.2007. The Visualization Toolkit, 3rd edition. Kitware Inc.
     [Google Scholar]
  19. SchulzH., Lehmann‐HornJ. and HertrichM.2009. Hierarchical meshes for surface nuclear magnetic resonance modeling. Proceedings from the 4th International Workshop on the Magnetic Resonance Sounding Method Applied to Non‐invasive Groundwater Investigations, 195–199.
     [Google Scholar]
  20. ShushakovO.A.1996. Groundwater NMR in conductive water. Geophysics61, 998–1006.
     [Google Scholar]
  21. US Army Corps of Engineers
    US Army Corps of Engineers . 2012. National inventory of dams. http://nid.usace.army.mil/.
  22. VallaP. and LegchenkoA.2002. One‐dimensional modelling for proton magnetic resonance sounding measurements over an electrically conductive medium. Journal of Applied Geophysics50, 217 – 229.
     [Google Scholar]
  23. VouillamozJ., SokhengS., BruyereO., CaronD. and ArnoutL.2012. Towards a better estimate of storage properties of aquifer with magnetic resonance sounding. Journal of Hydrology458, 51–58.
     [Google Scholar]
  24. WalshD., GrunewaldE., TurnerP., HinnellA. and FerreP.2011. Practical limitations and applications of short dead time surface NMR. Near Surface Geophysics9, 103–111.
     [Google Scholar]
  25. WardS.H. and HohmannG.W.1987. Electro‐magnetic theory of geophysical applications. In: Electro‐magnetic methods in applied geophysics. Society of Exploration Geophysicists, 131–308.
     [Google Scholar]
  26. WeichmanP.B., LavelyE.M. and RitzwollerM.H.2000. Theory of surface nuclear magnetic resonance with applications to geophysical imaging problems. Physical Review E62, 1290–1312.
     [Google Scholar]
  27. YauM.‐M. and SrihariS.N.1983. A hierarchical data structure for multidimensional digital images. Communications of the ACM26(7), 504–514.
     [Google Scholar]
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A numerical assessment of the use of surface nuclear magnetic resonance to monitor internal erosion and piping in earthen embankments
Near Surface Geophysics 12, 325 (2014); https://doi.org/10.3997/1873-0604.2014004
/content/journals/10.3997/1873-0604.2014004
/content/journals/10.3997/1873-0604.2014004
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  • Article Type: Research Article

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