Studying ballistic aggregation phenomena through efficient Time Stepping approaches
Pierre Degond, Giacomo Dimarco, Marina Ferreira, Sophie Hecht

TL;DR
This paper introduces a new time-stepping method for simulating ballistic aggregation that is computationally more efficient than traditional event-driven methods, while maintaining similar statistical accuracy for large particle systems.
Contribution
A novel time-stepping approach recasts collision handling as a minimization problem, improving efficiency for large systems without sacrificing accuracy.
Findings
Statistical similarity to event-driven methods in aggregate formation
Significant computational performance improvements for large particle numbers
Effective in two-dimensional spherical particle simulations
Abstract
This paper deals with the problem of simulating dense dispersed systems composed by large numbers of particles undergoing ballistic aggregation. The most classical approaches for dealing with such problems are represented by the so-called event-driven methods. Despite being more accurate, these methods become computationally very expensive as the number of particles increases. Typically, their computational cost is proportional to the square of the number of particles and thus they become extremely demanding as soon as this number becomes sufficiently large. An alternative approach, called time-stepping, consists in evolving the problem over small time-intervals and to handle all collisions occurring during each time interval simultaneously. In this work, we follow this second direction and we introduce a new time stepping method which recasts the problem of the multiple collisions in a…
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Taxonomy
TopicsCoagulation and Flocculation Studies · Mathematical Biology Tumor Growth · Granular flow and fluidized beds
