New Approaches to Obtain Reliable Slope Mechanical Parameters under Condition of Limited Samples and Monitored Data

Instability of Slopes is a most common geological hazards in natural world. At present, slope stability evaluation depends largely on slope stability coefficient calculation. Analysis and evaluation of slope stability is a complex geotechnical problem because material composition, internal structures, water content, density of rock and soil mass are changed with surrounding circumstances and loads. It is well known that stablity coefficient calculation has to rely on slope mechanical parameters. However, in geotechnical engineering field there are many uncertainty factors needed to further study. As a result, slope stability coefficient calculation also exists inaccuracy. Furthermore, if sample sizes of slopes are limited because of lacks of enough capital investment, extreme climate and environmental burst accidents, it is much more difficult for us to evaluate slope stablity and to take effective measures to cope with slope deformation. In this paper, aiming at these problems some new approaches to estimate slope mechanical parameters under condition of limited samples has been established through using Bayesian estimation theory and FEM back-analysis method. After application above-mentioned new approaches, the results indicate that studying on probability model distribution and estimation of slope mechnical parameters and application FEM back-analysis method with limited sample sizes and monitored data are very important to slope safety evaluation.