Publisher DOI: 10.1063/5.0225926
10.48550/arXiv.2407.01041
Title: Relevance of the Basset history term for Lagrangian particle dynamics
Language: English
Authors: Urizarna-Carasa, Julio 
Ruprecht, Daniel 
von Kameke, Alexandra  
Padberg-Gehle, Kathrin 
Keywords: Physics - Fluid Dynamics; Computer Science - Computational Engineering; Finance; and Science; Computer Science - Numerical Analysis; Mathematics - Dynamical Systems
Issue Date: 10-Jul-2025
Publisher: American Institute of Physics
Journal or Series Name: Chaos : an interdisciplinary journal of nonlinear science 
Volume: 35
Issue: 7
Project: B05 - From sensors and trajectories to transport and mixing 
Abstract: 
The movement of small but finite spherical particles in a fluid can be described by the Maxey-Riley equation (MRE) if they are too large to be considered passive tracers. The MRE contains an integral "history term" modeling wake effects, which causes the force acting on a particle at some given time to depend on its full past trajectory. The history term causes complications in the numerical solution of the MRE and is therefore often neglected, despite both numerical and experimental evidence that its effects are generally not negligible. By numerically computing trajectories with and without the history term of a large number of particles in different flow fields, we investigate its impact on the large-scale Lagrangian dynamics of simulated particles. We show that for moderate to large Stokes numbers, ignoring the history term leads to significant differences in clustering patterns. Furthermore, we compute finite-time Lyapunov exponents and show that, even for small particles, the differences in the resulting scalar field from ignoring the BHT can be significant, in particular if the underlying flow is turbulent.
URI: https://hdl.handle.net/20.500.12738/16533
ISSN: 1089-7682
Review status: This version was peer reviewed (peer review)
Institute: Heinrich-Blasius-Institut für Physikalische Technologien 
Department Maschinenbau und Produktion 
Fakultät Technik und Informatik 
Type: Article
Additional note: article number: 073122 (2025). Preprint: https://doi.org/10.48550/arXiv.2407.01041. Verlagsversion: https://doi.org/10.1063/5.0225926.
Funded by: Deutsche Forschungsgemeinschaft 
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