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The performance evaluation of a potentially unstable slope involves two keycomponents: the initiation of the slope failure and the post-failure runout.The Finite Element Method (FEM) excels at modeling the initiation ofinstability but quickly loses accuracy in modeling large-deformation problemsdue to mesh distortion. Hence, the FEM is unable to accurately modelpost-failure slope runout. Hybrid Eulerian-Lagrangian methods, such as theMaterial Point Method (MPM), offer a promising alternative for solvinglarge-deformation problems, because particles can move freely across abackground mesh, allowing for large deformation without computational issues.However, the use of moving material points in MPM for integration rather thanthe fixed Gauss points of the FEM reduces the accuracy of MPM in predictingstress distribution and thus failure initiation. We have created a hybridmethod by initiating a failure simulation in FEM and subsequently transferringthe coordinates, velocities, and stresses to MPM particles to model the runoutbehavior, combining the strength of both methods. We demonstrate the capabilityof the hybrid approach by simulating the collapse of a frictional granularcolumn, comparing it to an empirical solution, and evaluating a suitable timeto transfer from FEM to MPM by trialing multiple iterations with transfers atdifferent stages of the collapse.

Hybrid Finite Element and Material Point Method to Simulate Granular Column Collapse from Failure Initiation to Runout