Accurate assessment of the impact effect of flow-like landslide is essential and vital for disaster mitigation, which yet is difficult because of the uncertainty of rainfall characteristics and variability of soil properties. To solve this problem, a new impact effect assessment framework that combines the methods of probability density evolution and the Material Point Method (MPM) is proposed. This novel framework can consider multiple stochastic factors. We used a 3D slope based on the Material Point Method (MPM) which coupled hydro-mechanical as an example and generated multiple stochastic factors. Soil property parameters were assumed to obey logarithmic normal distribution, and the volume of flowing landslide, run-out and impact force were evolved. Then, the resilience characteristics of different restorative strategies for the resilience enhancement of the flow-like landslide-barrier system were analyzed. The framework which considered multiple stochastic factors and impact effect of flow-like landslide maybe minimize casualties and property losses caused by the impact of flow-like landslide.