A method for automated discontinuity analysis of rock slopes with 3D laser scanning

Siefko Slob, Robert Hack, Bart van Knapen, Keith Turner, John Kemeny

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

This paper describes the interim results of a study to characterize discontinuous rock masses using 3D laser scanning data. One of the main advantages of this method is that now an unbiased, rapid and accurate discontinuity analysis can be done. With 3D laser scanning it is now also possible to measure rock faces whose access is restricted or rock slopes along highways or railway lines where working conditions are hazardous. It is also shown that the proposed method will also be cheaper than traditional manual survey and analysis methods. Laser scanning is a relative new surveying technique, which yields a so-called ‘point cloud’ set of data, where every single point represents a point in 3D space of the scanned rock surface. Since the density of the point cloud can be high (in the order of 5 mm to 1 cm), it allows for an accurate re-construction of the original rock surface in the form of a 3D interpolated and meshed surface, using different interpolation techniques. Through geometric analysis of this 3D mesh and plotting of the facet orientations in a polar plot, it is possible to observe clusters, which represent different rock mass discontinuity sets. With fuzzy k-means clustering algorithms individual discontinuity sets can be outlined automatically and the mean orientations of these identified sets can be computed. Assuming a Fisher’s distribution it is subsequently demonstrated that the facet outliers can be removed. Finally, it is shown that discontinuity set spacings can be calculated as well.
Original languageEnglish
Title of host publicationProceedings of the Transportation Research Board 84th Annual Meeting, January 9-13, 2005
Place of PublicationWashington, D.C.
PublisherTransportation Research Board (TRB)
Number of pages16
Publication statusPublished - 2005
Event84th Transportation Research Board (TRB) Annual Meeting 2005 - Washington, United States
Duration: 9 Jan 200513 Jan 2005
Conference number: 84

Conference

Conference84th Transportation Research Board (TRB) Annual Meeting 2005
CountryUnited States
CityWashington
Period9/01/0513/01/05

Fingerprint

discontinuity
laser
rock
working conditions
outlier
railway
surveying
interpolation
method
analysis
spacing
road

Keywords

  • ESA
  • ADLIB-ART-1224

Cite this

Slob, S., Hack, R., van Knapen, B., Turner, K., & Kemeny, J. (2005). A method for automated discontinuity analysis of rock slopes with 3D laser scanning. In Proceedings of the Transportation Research Board 84th Annual Meeting, January 9-13, 2005 Washington, D.C.: Transportation Research Board (TRB).
Slob, Siefko ; Hack, Robert ; van Knapen, Bart ; Turner, Keith ; Kemeny, John. / A method for automated discontinuity analysis of rock slopes with 3D laser scanning. Proceedings of the Transportation Research Board 84th Annual Meeting, January 9-13, 2005. Washington, D.C. : Transportation Research Board (TRB), 2005.
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abstract = "This paper describes the interim results of a study to characterize discontinuous rock masses using 3D laser scanning data. One of the main advantages of this method is that now an unbiased, rapid and accurate discontinuity analysis can be done. With 3D laser scanning it is now also possible to measure rock faces whose access is restricted or rock slopes along highways or railway lines where working conditions are hazardous. It is also shown that the proposed method will also be cheaper than traditional manual survey and analysis methods. Laser scanning is a relative new surveying technique, which yields a so-called ‘point cloud’ set of data, where every single point represents a point in 3D space of the scanned rock surface. Since the density of the point cloud can be high (in the order of 5 mm to 1 cm), it allows for an accurate re-construction of the original rock surface in the form of a 3D interpolated and meshed surface, using different interpolation techniques. Through geometric analysis of this 3D mesh and plotting of the facet orientations in a polar plot, it is possible to observe clusters, which represent different rock mass discontinuity sets. With fuzzy k-means clustering algorithms individual discontinuity sets can be outlined automatically and the mean orientations of these identified sets can be computed. Assuming a Fisher’s distribution it is subsequently demonstrated that the facet outliers can be removed. Finally, it is shown that discontinuity set spacings can be calculated as well.",
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Slob, S, Hack, R, van Knapen, B, Turner, K & Kemeny, J 2005, A method for automated discontinuity analysis of rock slopes with 3D laser scanning. in Proceedings of the Transportation Research Board 84th Annual Meeting, January 9-13, 2005. Transportation Research Board (TRB), Washington, D.C., 84th Transportation Research Board (TRB) Annual Meeting 2005, Washington, United States, 9/01/05.

A method for automated discontinuity analysis of rock slopes with 3D laser scanning. / Slob, Siefko; Hack, Robert; van Knapen, Bart; Turner, Keith; Kemeny, John.

Proceedings of the Transportation Research Board 84th Annual Meeting, January 9-13, 2005. Washington, D.C. : Transportation Research Board (TRB), 2005.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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AB - This paper describes the interim results of a study to characterize discontinuous rock masses using 3D laser scanning data. One of the main advantages of this method is that now an unbiased, rapid and accurate discontinuity analysis can be done. With 3D laser scanning it is now also possible to measure rock faces whose access is restricted or rock slopes along highways or railway lines where working conditions are hazardous. It is also shown that the proposed method will also be cheaper than traditional manual survey and analysis methods. Laser scanning is a relative new surveying technique, which yields a so-called ‘point cloud’ set of data, where every single point represents a point in 3D space of the scanned rock surface. Since the density of the point cloud can be high (in the order of 5 mm to 1 cm), it allows for an accurate re-construction of the original rock surface in the form of a 3D interpolated and meshed surface, using different interpolation techniques. Through geometric analysis of this 3D mesh and plotting of the facet orientations in a polar plot, it is possible to observe clusters, which represent different rock mass discontinuity sets. With fuzzy k-means clustering algorithms individual discontinuity sets can be outlined automatically and the mean orientations of these identified sets can be computed. Assuming a Fisher’s distribution it is subsequently demonstrated that the facet outliers can be removed. Finally, it is shown that discontinuity set spacings can be calculated as well.

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Slob S, Hack R, van Knapen B, Turner K, Kemeny J. A method for automated discontinuity analysis of rock slopes with 3D laser scanning. In Proceedings of the Transportation Research Board 84th Annual Meeting, January 9-13, 2005. Washington, D.C.: Transportation Research Board (TRB). 2005