FORECAST OF SLOPE STABILITY OF THE BANK SECTION OF THE KHIMKI RESERVOIR

Abstract

The relevance of the work is caused by the need to analyze the existing methods for calculating the slope stability coefficient. The paper analyzes three calculation methods and provides an analysis of the rational use of each method. Recommendations on the choice of calculation methods are developed based on the analysis of existing calculation methods and their comparison in relation to practical calculations. The main aim: predictive calculation of the slope stability of the bank section of the Khimki reservoir, comparative analysis of the values of the stability coefficients obtained by various methods using modern mathematical tools implemented in software complexes: «PSK-98M5», «SCAD Office» and «Plaxis», evaluation of the possibility of using one of the applied numerical methods of calculation. Methods: analysis of domestic and foreign experience in calculating slope stability, collection and evaluation of available engineering and geological information, selection of boundary conditions, application of analytical and numerical solutions, comparison of calculation results obtained by various methods, assessment of the vulnerability of objects and forecast of deformations in the base of buildings under the influence of landslide development. Results. Mathematical calculations were performed by various software systems using several models and methods in accordance with the recommendations of the current regulatory documentation. From the results of calculations, it follows that a higher stability coefficient is obtained when the load from the designed structure is located higher up the slope, and vice versa, when the same load is located lower down the slope, the stability coefficient decreases. The «SCAD Office» software package gives inflated results. This is probably due to the fact that in this program, the geometric parameters of the slope are not actually entered in any way. The results obtained in the Plaxis program are the closest to reality, since it splits the entered model into a huge number of simple geometric shapes (triangles) and the coefficient values are calculated at each node point. This circumstance significantly increases the accuracy of the calculation and brings the mathematical model much closer to natural conditions.

Keywords

• stability forecast
• margin coefficient
• boundary conditions
• deformations and stresses
• sliding line
• calculated cross-section
• physical and mechanical characteristics
• finite element method
• software package
• slope
• comparative analysis