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Resolved Large Eddy Simulations of a Settling or Rising Spherical Microplastic Particle
Microplastics2026
Score: 40
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0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Koray Deniz Göral,
Koray Deniz Göral,
Koray Deniz Göral,
Koray Deniz Göral,
Koray Deniz Göral,
Koray Deniz Göral,
Koray Deniz Göral,
Hasan Gökhan Güler,
Bent Larsen,
Bent Larsen,
Bent Larsen,
Hasan Gökhan Güler,
Hasan Gökhan Güler,
Bent Larsen,
Bent Larsen,
Hasan Gökhan Güler,
Bent Larsen,
Hasan Gökhan Güler,
Hasan Gökhan Güler,
Stefan Carstensen,
Stefan Carstensen,
Hasan Gökhan Güler,
Hasan Gökhan Güler,
Hasan Gökhan Güler,
Stefan Carstensen,
Koray Deniz Göral,
Stefan Carstensen,
Stefan Carstensen,
Stefan Carstensen,
Stefan Carstensen,
Stefan Carstensen,
Stefan Carstensen,
Stefan Carstensen,
Stefan Carstensen,
Erik Damgaard Christensen
Erik Damgaard Christensen
Erik Damgaard Christensen
Koray Deniz Göral,
Erik Damgaard Christensen
Koray Deniz Göral,
Erik Damgaard Christensen
Koray Deniz Göral,
Hasan Gökhan Güler,
Erik Damgaard Christensen
David R. Fuhrman,
David R. Fuhrman,
Koray Deniz Göral,
Erik Damgaard Christensen
Erik Damgaard Christensen
Erik Damgaard Christensen
David R. Fuhrman,
David R. Fuhrman,
David R. Fuhrman,
Stefan Carstensen,
David R. Fuhrman,
Stefan Carstensen,
Erik Damgaard Christensen
Erik Damgaard Christensen
Summary
This computational study used large eddy simulation to model how spherical microplastic particles settle or rise through water at different speeds, accurately predicting drag coefficients and wake patterns across a wide range of flow conditions. The model provides better physical understanding of how microplastic particles move in aquatic environments, which is important for predicting where they accumulate and how they are transported through rivers, lakes, and oceans.
The settling and rising of spherical microplastic particles with different Reynolds numbers, Re, were studied using a fully coupled large eddy simulation–discrete element method (LES-DEM) model, where the particles were treated using the immersed boundary method. Twelve different simulations were performed to find the drag coefficient CD, particle trajectories, and wake patterns of both settling and rising microplastic particles. Results were compared to experimental findings from the literature and the comparisons show that the present LES-DEM model produces accurate values for CD when Re≲310 and qualitatively captures both wake patterns and particle trajectories for 1≲Re≲5235.