Introduction

Kinematical analysis—the evaluation of potential rock slope failures using stereographic techniques—can be a significant stage in the slope stability evaluation of jointed rock masses, especially where narrowly spaced joints (ISRM 1981) make a numerical analysis difficult. The paper discusses a procedure for producing a kinematic stability and slope mass rating (SMR) map for a railway route, using GIS. In recent years, GIS technologies have been developed with the potential to address a wide range of problems in disaster management and hazard mitigation, and are increasingly playing an important role in spatial planning and sustainable development; see for example Brabb et al. 1972; DeGraff and Romesburg 1980; Jade and Sarkar 1993; Carrara et al. 1995; Chung and Fabbri 1999; Barredo et al. 2000; Van Westen et al. 2000; Fernández et al. 2003; Yilmaz and Yavuzer 2005; Gomez and Kavzoglu 2005; Yilmaz and Bagci 2006; Topal et al. 2007; Yilmaz 2008, Yilmaz 2007, Yilmaz et al. 2008, Yilmaz 2009a, b, 2010a, b etc.).

This study compares the maps obtained from slope mass rating and conventional kinematic analysis methods for rock slopes along the railway route between Çetinkaya and Divriği at the south of Sivas (Fig. 1).

Fig. 1
figure 1

Location map for the study area

Geostructural aspects and kinematic based mapping

Slope stability depends in large part upon the geological and geotechnical characteristics of the bedrock and soils that compose the slopes. For slopes composed predominantly of bedrock, however, often the most important factor is the geological structure of the rock, i.e., the location, orientation relative to the free face, and spacing of discontinuities within the bedrock including bedding, joints, faults, and shears (Mote et al. 2004).

Kinematic analysis examines which modes of failure can possibly occur in the rock mass, based on a detailed evaluation of the rock mass structure and the geometry of existing discontinuities which may contribute to block instability. This technique is very useful for a preliminary assessment of possible failures in rock slopes before complex and detailed slope stability analysis. Orientations of discontinuities, dip and strike of the slope and friction angle of weakness planes are considered together in conventional kinematic analyses by using the stereo-projection technique which evaluates the two principal types of failures (planar and wedge). Planar failure is defined as sliding along a single discontinuity plane that tilts downward at an inclination flatter than that of the overlying slope face, while sliding along a line of intersection between the two planes of discontinuities causes a wedge type of failure.

If the following conditions proposed by Hoek and Bray (1981) are met, failure is kinematically possible (Kliche 1999):

  1. 1.

    The dip of the discontinuity (or plunge of the line of the intersection of two discontinuities) must exceed the angle of friction for the rock surface.

  2. 2.

    The discontinuity (or line of the intersection of two discontinuities) must daylight in the slope face.

  3. 3.

    The dip of the discontinuity (or plunge of the line of the intersection of two discontinuities) must be less than the dip of the slope face.

  4. 4.

    The strike (or dip direction) of the discontinuity must be within ±20° of the strike (or dip direction) of the slope face. Beyond this ±20° zone, the discontinuities are likely to be “locked in” and hence their significance is reduced.

In this study, both plane and wedge failure were analyzed kinematically and the following five parameters used to develop a slope instability map: slope aspect, slope dip, discontinuity strike, discontinuity dip and internal friction angle of discontinuity.

A 3-D topographic model was constructed and a digital elevation model (DEM) was obtained in GIS (Fig. 2) using ArcGIS Version (2005). The model was created with a 10 m grid cell spacing. Figure 3 shows the aspect and Fig. 4 the slope angle derived from the DEM. The strikes and dips of the discontinuities were obtained during fieldwork following ISRM (1981) and their orientations have been plotted on equatorial equal-area diagrams (Fig. 5). This indicated three significant pole concentrations (Set-1: 138/67, Set-2: 340/72, Set-3: 47/55). Friction angles were estimated as 33–36° (mean 35°) based on Barton’s (1973) criterion.

Fig. 2
figure 2

Digital elevation model (DEM) of the study area

Fig. 3
figure 3

Slope aspect map of the study area

Fig. 4
figure 4

Slope map of the study area

Fig. 5
figure 5

Generalized stereoplot of discontinuities and friction angle

Grid files of the slope and aspect maps were first converted into data files (ASCII format) and then used in the kinematic analyses together with the orientations (strike, dip) and internal friction angle of the discontinuities. When a kinematically possible failure condition in each cell (Hoek and Bray 1981) was met, “1” (or “0”) was written in output data files in ASCII format using the computer program in Q-Basic. In the last stage of the analyses, conventional kinematic slope stability maps for planar and wedge types of failures were produced and converted into grid files in ArcGIS (Fig. 6).

Fig. 6
figure 6

Conventional kinematic slope stability maps for planar (a) and wedge (b) type of failure

Slope mass rating

Bieniawski (1989) proposed the following factors should be considered in any engineering classification of a rock mass:

  1. 1.

    the uniaxial compressive strength of the material;

  2. 2.

    the rock quality designation (RQD);

  3. 3.

    the spacing, orientation and condition of the discontinuities; and

  4. 4.

    groundwater inflow.

Various modifications have been made to the initial RMR system (Bieniawski 1973, 1979, 1984, 1989); in the present study Bieniawski (1989) has been followed.

Testing procedures and mean values of results

  1. 1.

    Strength of intact rock material: uniaxial compressive strength tests were carried out following (ISRM 1981). The mean value was 51 MPa, a rating of 7.

  2. 2.

    RQD: this was calculated following Priest and Hudson (1976) for rock masses having a negative exponential frequency distribution of discontinuity spacing. The average value of RQD was 35%, a rating of 8.

  3. 3.

    Spacing of discontinuities: crossed scanlines indicated discontinuity spacings of 0.065–1.95 m. The average value was 1.1 m, a rating of 8.

  4. 4.

    Conditions of discontinuities: five parameters have been considered, following Bieniawski (1989).

    1. 1.

      Roughness: JRC values derived from roughness profile indicated ratings from 2 to 4.

    2. 2.

      Aperture: joints are generally moderately wide and wide, ratings from 0 to 1.

    3. 3.

      Weathering was estimated following Barton and Choubey (1977), comparing σc and JCS (joint compression strength) measured by means of the Schmidt Hammer Test on weathered discontinuity surfaces. The σc/JCS ratio is medium; the average rating was calculated as 1.81.

    4. 4.

      Infilling: all joints had a clay and/or silt infill and some joints were partially filled by calcite, ratings from 0 to 2.

    5. 5.

      Persistence: the trace lengths of discontinuities indicated medium persistence (3–10 m), rating 2.

  5. 5.

    Groundwater conditions: The observations in the study area during the spring showed that the discontinuities were wet, rating 7.

The slope mass rating classification (SMR—Romana 1988) is a modification of the basic RMR in order to adopt it for slope stability evaluation. It is based on simple data and field observations (slope and joint orientation including dips and dip directions) from which three factors (F1, F2, F3) are evaluated. The method also takes into account a fourth factor (F4) which reflects the excavation technique used to “construct” the cut, varying from natural slope to blasted. The SMR value is computed as: SMR = RMR – (F1· F2· F3) + F4 (Calcaterra et al. 1998), where:

  1. 1.

    F1 indicates the degree of parallelism between joints and the strike of the slope face. It ranges from 1.00 (when both are near parallel) to 0.15 (when the angle between them is more than 30° and the failure probability is very low). These values are established empirically, F1 = (1 − sinA)2, where A denotes the angle between the slope face and strike of the joints.

  2. 2.

    F2 refers to joint dip angle in the planar mode of failure. In a sense it is a measure of the probable joint shear strength. The values varied from 1.00 (for joints dipping >45°) to 0.15 (for joints dipping <20°) and subsequently were found to approximate the relationship F2 = tg2B, where B denotes the joint dip angle.

  3. 3.

    F3 refers to the probability that joints “daylight” in the slope face. Conditions are very fair when slope face and joints are parallel. When the slope dips 10° more than joints, very unfavorable conditions occur.

  4. 4.

    F4 is an adjustment factor for the method of excavation and was not taken into account in the present study.

SMR values were first calculated and input into ArcGIS such that grid files of the SMR distribution could be produced by interpolation. An SMR map (Fig. 7) was then constructed by dividing the SMR values into five classes of instability, each divided into two sub-classes (Table 1) as suggested by Romana (1988). The map shows much of the slopes are classified as unstable (V, IV planar or large wedges) or partially stable (class III, some joints or many wedges) (Fig. 8).

Fig. 7
figure 7

Slope mass rating (SMR) distribution map

Table 1 Tentative description of SMR classes (after Romana 1988)
Fig. 8
figure 8

Relationships between SMR classes with planar a wedge b and all c types of failure possibilities

Conclusions

Kinematic analyses and GIS based maps indicated the potential for planar and/or wedge failure in many locations along the Çetinkaya and Divriği railway route, south of Sivas, Turkey.

SMR classification indicates the slopes fall into classes III, IV and V, i.e partially stable and unstable. The results agree well with the assessed kinematic and geo-structural conditions.

Although kinematic-based slope stability analysis has traditionally been performed using graphical methods or trigonometry-based equations, the results of the study suggest that the geometric relationship between hillslope and geological structures can be used in conjunction with more sophisticated slope stability models, taking into account material strength, hydrostatic pressures, seepage forces, active forces, passive forces, etc., as discussed by Mote et al. (2004).