The 2nd Badong International Geohazards Symposium (BIGS2019)

83 / 2019-07-31 13:06:31

Parameters back-analysis and uncertainty evaluation of slope based on monitoring data

slope, supporting structure, parametric model, Bayesian method

Prevention and Control of Reservoir Geohazards and Ecological Environmental Protection > Big data and artificial intelligence in geohazards

The traditional slope stability analysis method is analysis the slope state at a critical state. However, the slope failure is a dynamic process, which related to many factors, including environmental changes, construction conditions and rainfall infiltrations. This study aims to analysis the slope stability based on with the intellectualization method based on the field measurement results and updating finite element model analysis. With the measured data, the finite element analysis and Bayesian models are established to back analysis the soil parameters, structure and interaction parameters which are difficult to measure directly in engineering practice. and the field measurement errors are examined and incorporated in the analysis . A series of equivalent samples are generated, thus, the slope prediction analysis model can be updated with the further monitoring data and provide a more accurate results for the engineering practices. This study could provide references for slope analysis with smart monitoring and intellectualization.