1887
Volume 8, Issue 6
  • ISSN: 1569-4445
  • E-ISSN: 1873-0604

Abstract

ABSTRACT

Mapping and distribution with depth of alteration in rocks is critical in engineering planning because it has a fundamental impact on the geotechnical properties of the materials. Lateral heterogeneity on a weathered rock massif makes boreholes inadequate for its complete characterization. Geophysical methods increase spatial sampling along the study area and can be related to geotechnical parameters, so subsoil conditions can be better understood.

In order to determine its geotechnical qualities and variability along two different profiles, we attempt to characterize a granite massif in north‐west Spain by the integration of results from seismic refraction, multichannel analysis of surface waves (MASW) and electrical resistivity tomography methods (ERT). The study area, the so‐called Carlés granite, shows all the weathering grades from sandy soil to fresh rock. A reference borehole where samples were taken and laboratory measurements were made, serves as a direct check for the results of one of the profiles, the other being interpreted without any direct information. This approach has permitted the evaluation of the advantages and limitations of each geophysical method and created an accurate geotechnical model of the massif, correlating physical and geotechnical parameters such as rock quality designation, weathering grade, or standard penetration test.

The field seismic velocities have been compared with the ultrasonic measurements at the laboratory, permitting an evaluation of the field and laboratory elastic constants. The trend in the values of these parameters agrees with the field and laboratory test for the shallow parts of the massif. However, unrealistic elastic constants have been obtained for fresh rock based on the results of the field experiments. This is related to an apparent underestimation of the velocity of seismic S‐waves for the deepest layers. This fact suggests that the methodology followed throughout this work is able to provide a full geotechnical model of an altered rock massif for the first tens of metres, discriminating between different weathered levels. It is also useful and reliable when inferring elastic constants for depths of up to 20 m. However, its validity becomes doubtful with depth, so care must be taken when calculating elastic moduli and trying to extrapolate directly to a rock massif.

Loading

Article metrics loading...

/content/journals/10.3997/1873-0604.2010043
2010-07-01
2024-04-23
Loading full text...

Full text loading...

References

  1. BegonhaA. and Sequeira BragaM.A.2002. Weathering of the Oporto granite: Geotechnical and physical properties. Catena49, 57–76.
    [Google Scholar]
  2. BensonR.C., YuhrL. and KaufmannR.2003. Some considerations for selection and successful application of geophysical methods. 3rd International Conference on Applied Geophysics, Geophysics 2003, 8–12 December, Orlando, Florida, USA, Expanded Abstracts.
    [Google Scholar]
  3. BohachevskyI.O., JohnsonM.E. and SteinM.L.1986. Generalized simulated annealing for function optimization. Technometrics28, 209–217.
    [Google Scholar]
  4. BrownE.T.1981. Rock Characterization, Testing and Monitoring: ISRM Suggested Methods. Pergamon Press.
    [Google Scholar]
  5. ConstableS.C., ParkerR.L. and ConstableC.G.1987. Occam′s inversion: A practical algorithm for generating smooth models from electromagnetic sounding data. Geophysics52, 289–300.
    [Google Scholar]
  6. Dal MoroG.2008. Vs and Vp vertical profiling via joint inversion of Rayleigh waves and refraction traveltimes by means of bi‐objective evolutionary algorithm. Journal of Applied Geophysics66, 15–24.
    [Google Scholar]
  7. DeGroot‐HedlinC. and ConstableS.1990. Occam′s inversion to generate smooth, two‐dimensional models from magnetotelluric data. Geophysics55, 1613–1624.
    [Google Scholar]
  8. DewandelB., LachassagneP., WynsR., MaréchalJ.C. and KrishnamurthyN.S.2006. A generalized 3‐D geological and hydrogeological conceptual model of granite aquifers controlled by single or multiphase weathering. Journal of Hydrology330, 260–284.
    [Google Scholar]
  9. FazzitoS.Y., RapaliniA.E., CortésJ.M. and TerrizzanoC.M.2009. Characterization of Quaternary active faults by electric resistivity tomography in the Western Precordillera of Mendoza and San Juan, Argentina. Journal of South American Earth Sciences28, 217–228.
    [Google Scholar]
  10. FriedelS., ThielenA. and SpringmanS.M.2006. Investigation of a slope endangered by rainfall‐induced landslides using 3D resistivity tomography and geotechnical testing. Journal of Applied Geophysics60, 100–114.
    [Google Scholar]
  11. IvanovJ., MillerR.D., LacombeP., JohnsonC.D. and LaneJrJ.W.2006. Delineating a shallow fault zone and dipping bedrock strata using multichannel analysis of surface waves with a land streamer. Geophysics71, A39–A42.
    [Google Scholar]
  12. IvanovJ., MillerR.D., XiaJ., SteeplesD. and ParkC.B.2005a. The inverse problem of refraction traveltimes. Part I: Types of geophysical nonuniqueness through minimization. Pure and Applied Geophysics162, 447–459.
    [Google Scholar]
  13. IvanovJ., MillerR.D., XiaJ., SteeplesD. and ParkC.B.2005b. The inverse problem of refraction traveltimes. Part II: Quantifying refraction nonuniqueness using three‐layer model. Pure and Applied Geophysics162, 461–477.
    [Google Scholar]
  14. JulivertM., FontbotéJ.M., RibeiroA. and Nabais CondeL.E.1972. Mapa Tectónico de la Península Ibérica y Baleares E. 1:1000000. IGME Memoria explicativa.
    [Google Scholar]
  15. LanH.X., HuR.L., YueZ.Q., LeeC.F. and WangS.J.2003. Engineering and geological characteristics of granite weathering profiles in South China. Journal of Asian Earth Science21, 353–364.
    [Google Scholar]
  16. LeeS.G. and de FreitasM.H.1990. Seismic refraction surveys for predicting the intensity and depth of weathering and fracturing in granitic masses. In: Field Testing in Engineering Geology (eds E.G.Bell , M.G.Culshaw , J.C.Cripps and J.R.Coffey ), pp. 241–256. Geological Society of London
    [Google Scholar]
  17. LotzeW.1945. Zur Gliederung der Varisziden der Iberischen Meseta. Geotektonische Forsch6, 78–92.
    [Google Scholar]
  18. Martin‐IzardA., PaniaguaA., García‐IglesiasJ., FuertesM., BixetL., MaldonadoC. and VarelaA.2000. The Carlés copper‐gold‐molybdenum skarn (Asturias, Spain): Geometry, mineral associations and metasomatic evolution. Journal of Chemical Exploration71, 153–175.
    [Google Scholar]
  19. MillerR.D., XiaJ., ParkC.B. and IvanovJ.M.1999. Multichannel analysis of surface waves to map bedrock. The Leading Edge18, 1392–1396.
    [Google Scholar]
  20. ParkC.B., MillerR.D. and XiaJ.1998. Imaging dispersion curves of surface waves on multi‐channel record. 68th SEG meeting, New Orleans, Louisiana, USA, Expanded Abstracts, 1377–1380.
    [Google Scholar]
  21. ParkC.B., MillerR.D. and XiaJ.1999. Multichannel analysis of surface waves MASW. Geophysics64, 800–808.
    [Google Scholar]
  22. PopoviciA.M. and SethianJ.1997. Three dimensional traveltime computation using the fast marching method. 67th SEG meeting, Dallas, Texas, USA, Expanded Abstracts, 1778–1781.
    [Google Scholar]
  23. PullammanappallilS.K. and LouieJ.N.1994. A generalized simulated‐annealing optimization for inversion of first‐arrival times. Bulletin of the Seismological Society of America84, 1397–1409.
    [Google Scholar]
  24. SoleJ., ArcosD., SolerA. and DelgadoJ.1995. Datación K/Ar de las distintas mineralizaciones relacionadas con el stock granodiorítico de Carlés (Asturias). Boletín de la Sociedad Española de Mineralogía18, 31–32.
    [Google Scholar]
  25. TardyY.1971. Characterization of the principal weathering types by the geochemistry of waters from some European and African crystalline massif. Chemical Geology7, 253–271.
    [Google Scholar]
  26. XiaJ., MillerR.D. and ParkC.B.1999. Estimation of near‐surface shear‐wave velocity by inversion of Rayleigh waves. Geophysics64, 691–700
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.3997/1873-0604.2010043
Loading
/content/journals/10.3997/1873-0604.2010043
Loading

Data & Media loading...

  • Article Type: Research Article

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error