Abstract. Flow-like landslides, such as
flow slides and debris avalanches, have caused serious infrastructure damage
and casualties for centuries. Effective numerical simulation incorporating
accurate soil mechanical parameters is essential for predicting post-failure
landslide mobility. In this study, smoothed particle hydrodynamics (SPH)
incorporating soil ring shear test results were used to forecast the
long-runout mobility for a landslide on an unstable slope in China. First, a
series of ring shear tests under different axial stresses and shear
velocities were conducted to evaluate the residual shear strength of slip
zones after extensive shear deformation. Based on the ring shear test
results, SPH modeling was conducted to predict the post-failure mobility of a
previously identified unstable slope. The results indicate that the landslide
would cut a fire service road on the slope after 12 s and cover an expressway at the
foot of that slope after 36 s. In the model, the landslide would finally
stop sliding about 38 m beyond the foot of the slope after 200 s. This
study extends the application of the SPH model from disaster simulations to
predictive analysis of unstable landslide. In addition, two sets of
comparative calculations were carried out which demonstrate the robustness of
the SPH method.
Forecasting landslide mobility using an SPH model and ring shear strength tests: a case study
