Multi-slip surfaces searching method for earth slope with weak interlayer based on local maximum shear strain increment

Abstract

To perfect the present slip surface searching method, by which only one slip surface can be obtained, existing the phenomenon of slip surface identification omission or errors when applied to the slope with multiple potential slip surfaces, a multi-slip surfaces searching method based on local maximum shear strain increment is proposed. Firstly, the strength reduction method is adopted to calculate the contour of shear strain increment on critical state of slope. Then, feature points on slip surfaces are extracted based on the local maximum shear strain increment, and multiple feature point clusters on the slip surface are obtained by the DBSCAN algorithm. Finally, Kalman filters (KF) and Rauch-Tung-Strieber Smoother (RTSS) are used to smooth the slip surface feature point clusters one by one. Numerical examples show that the proposed method can accurately locate multiple potential slip surfaces, providing a theoretical foundation for accurately determining the potential slip surfaces in the slope. On this basis, the influence of grid density on extraction results of feature points and weak interlayer parameters on the distribution of slip surfaces are further discussed, which provides a reference for the location and shape research of potential slip surfaces in slope engineering.