Coupled Simulation of Deformable Bodies and ISPH Fluids for Secondary Bone Healing




Granular jet impact: probing the ideal fluid description

Journal of Fluid Mechanics 751, 601-626



Complex Velocity Dependence of the Coefficient of Restitution of a Bouncing Ball

Physical Review Letters 110, 254301



Collective Granular Dynamics in a Shaken Container at Low Gravity Conditions

AIP Conference Proceedings 1542, 811-814



Event-driven molecular dynamics of soft particles

Physical Review E 87, 033301



Event-driven DEM of soft spheres

AIP Conference Proceedings 1542, 149-152



Circular ratchets as transducers of vertical vibrations into rotations

Physical Review E 86, 061310



Oblique impact of frictionless spheres: On the limitations of hard sphere models for granular dynamics

Granular Matter 14, 115-120



Negative coefficient of normal restitution

Physical Review E 85, 041306



Collision of Viscoelastic Spheres: Compact Expressions for the Coefficient of Normal Restitution

Physical Review E 84, 021302



Two-ball problem revisited: Limitations of event-driven modeling

Physical Review E 83, 041304



Movers and shakers: Granular damping in microgravity

Physical Review E 84, 011301



Contact of granular particles and the simulation of rapid flows using event-driven molecular dynamics

European Journal of Environmental and Civil Engineering 12, 827-870


Research Projects

We discuss several models for granular particles commonly used in Molecular
Dynamics simulations of granular materials, including spheres with linear dashpot force, viscoelastic
spheres and adhesive viscoelastic spheres. Starting from the vectorial interaction
forces we derive the coefficients of normal and tangential restitution as functions of the
vectorial impact velocity and of the material constants. We review the methods of
measurements of the coefficients of restitution and characterize the coefficient of normal
restitution as a fluctuating quantity. Moreover, the scaling behavior and the influence of
different force laws on the dynamical system behavior are discussed. The powerful method of
event-driven Molecular Dynamics is described and the algorithmic simulation technique is
explained in detail. Finally we discuss the limitations of event-driven MD.