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A method for adaptive model order reduction for nonsmooth discrete elementsimulation is developed and analysed in numerical experiments. Regions of thegranular media that collectively move as rigid bodies are substituted withrigid bodies of the corresponding shape and mass distribution. The method alsosupport particles merging with articulated multibody systems. A modelapproximation error is defined and used to derive conditions for when and whereto apply reduction and refinement back into particles and smaller rigid bodies.Three methods for refinement are proposed and tested: prediction from contactevents, trial solutions computed in the background and using split sensors. Thecomputational performance can be increased by 5 - 50 times for model reductionlevel between 70 - 95%.

Adaptive model reduction for nonsmooth discrete element simulation