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- Wathugala, Deepa N., et al.
(författare)
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A general procedure to correct sampling bias on joint orientation using a vector approach
- 1990
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Ingår i: Computers and geotechnics. - 0266-352X .- 1873-7633. ; 10:1, s. 1-31
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Tidskriftsartikel (refereegranskat)abstract
- Observed relative frequencies of joints should be corrected for sampling bias before inferring statistical distributions for orientations. The procedure available for sampling bias correction when finite size joints intersect finite size sampling domains is directly applicable only for vertical sampling planes [1-3]. Thus, a general procedure applicable for sampling domains of any orientation is developed in the present study. The corrected frequency of a joint is obtained by assigning a weight to each joint through a weighting function which is inversely propotional to the probability of intersection between the joint and the sampling plane. This probability of intersection is determined from a hypothesis indicating "the probability of intersection is proportional to the volume in which the center of the sampling domain should lie in order to intersect the joint". A vector approach to find this volume is described herein, followed by applications of this method to study the influence of the sampling bias correction on orientation frequency and to find statistical distributions for orientation data
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| 2. |
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| 3. |
- Kulatilake, Pinnaduwa H.S.W., et al.
(författare)
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Analysis of structural homogeneity of rock masses
- 1990
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Ingår i: Engineering Geology. - 0013-7952 .- 1872-6917. ; 29:3, s. 195-211
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Tidskriftsartikel (refereegranskat)abstract
- The statistical tests suggested by Miller (1983) and Mahtab and Yegulalp (1984) to investigate structural homogeneity in rock masses are reviewed. The difficulty in making a decision about statistical homogeneity only through the results of either one of these two tests or through equal-area polar plots, is shown through a case study. New interpretations are suggested for these two tests to use them in assigning relative ranks for the strength of homogeneity of different regions in rock masses. An example is given to illustrate how one can use Miller's method with new interpretations along with equal-area plots in making decisions about statistical homogeneity in rock masses. The example also shows an attempt to incorporate results of Mahtab and Yegulalp's test with new interpretations to the decision-making process
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