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HYDRAULICS. ENGINEERING HYDROLOGY. HYDRAULIC ENGINEERING

Statistical analysis of determining the filtration heterogeneity of foundation rock mass of hydraulic structures on the example of the boguchanskaya hpp

Vestnik MGSU 1/2016
  • Chernyshev Sergey Nikolaevich - Moscow State University of Civil Engineering (National Research University) (MGSU) Doctor of Geologo-Mineralogical Sciences, Professor, Department of Engineering Geology and Geoecology, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Zommer Tat’yana Valentinovna - Moscow State University of Civil Engineering (National Research University) (MGSU) Lecturer, Department of Engineering Geology and Geoecology, head, Laboratory of Hydraulics, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Lavrusevich Andrey Aleksandrovich - Moscow State University of Civil Engineering (National Research University) (MGSU) Doctor of Geologo-Mineralogical Sciences, Professor, Department of Engineering Geology and Geoecology, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 150-160

In the article the authors carried out a statistical analysis of mass determination of the filtration coefficient, which allows us to construct the most accurate calculation model of seepage field of inhomogeneous bedrock foundation of the dam needed for seepage calculations and to predict seepage regime of hydraulic structures and their grounds. The algorithm can be applied to analyze heterogeneity based on the large set of definitions of the properties of soil, subject to the condition that within the engineering geological element of random fluctuations of the index properties or some of its functions, e.g., logarithm of index properties, obey normal distribution law. In the latter case, all digital values of the index should be recalculated and presented in the form, in which they submit to the law of normal distribution. The authors received effective evaluation of the filtration coefficient on the basis of the law of statistical distribution. Correspondence of each component to a particular genetic element of the array is derived from the premise, adopted prior to the mathematical analysis: we divided the total distribution into separate normal distributions, and normal distribution is only true for a genetically separate engineering-geological element. After finding boundary values of the distributions it is required to determine the cut regions, in which relevant engineering-geological elements are localized, with the help of specially designed algorithm. In order to clarify geological distinction between the various lithological zones, zones of weathered and fractured zones, we use numerical data of filtration sampling. Then we put the numerical values of the index properties of lgq on which segmentation of the array occurs, on a geological cross section, respectively, for each well. After assigning numerical codes to the individual values of the indicator properties you can begin to image the geological section, where we combine the intervals with identical key values in the second position of the code. The boundaries between the drilled wells are held on a Pro forma basis for geological reasons. For example, if the set of values with the largest number lgq, which corresponds to the species with a visually perceptible change when exposed to weathering, has a number 4, the boundaries between the drilled wells will naturally stretch along the roof of the bedrock. If according to the proposed methodology, within the limited element number 4, the interval is flagged with number 3, it can be interpreted as the appearance of the outcrop of other rocks. In this case we need to show the boundary of engineering-geological element with a smaller value of lgq around the 3, than it is inside the engineering-geological element number 4. For each of the obtained groups of values, calculated using known statistical formulas, we calculated the mean value and other statistical estimates that are useful in practice. For example, the geometric mean is an effective in a hydraulic sense evaluation of the specific absorption coefficient of the filter. So the authors proposed a formalized approach to defining the structural elements of the filtration field inhomogeneity of a rock mass of hydraulic structures foundation on the basis of statistical analysis. The article shows how to highlight the engineering-geological elements with the filtration inhomogeneity of rocky soils on the example of the Boguchanskaya HPP on the Angara River.

DOI: 10.22227/1997-0935.2016.1.150-160

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