On the use of packing models for the prediction of fluvial sediment porosity

Rettinger, Christoph; Tabesh, Mina; Rüde, Ulrich; Vollmer, Stefan; Frings, Roy M.

doi:https://doi.org/10.5194/esurf-11-1097-2023

Articles | Volume 11, issue 6

https://doi.org/10.5194/esurf-11-1097-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/esurf-11-1097-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 6

Research article

|

02 Nov 2023

Research article |

| 02 Nov 2023

On the use of packing models for the prediction of fluvial sediment porosity

Christoph Rettinger, Mina Tabesh, Ulrich Rüde, Stefan Vollmer, and Roy M. Frings

Data sets

Packing Models for Porosity Prediction Christoph Rettinger and Roy M. Frings https://doi.org/10.5281/zenodo.7465313

Effect of Sediment Form and Form Distribution on Porosity C. Rettinger, U. Rüde, S. Vollmer, and R. M. Frings https://doi.org/10.5281/zenodo.6412071

Model code and software

Packing Models for Porosity Prediction Christoph Rettinger and Roy M. Frings https://doi.org/10.5281/zenodo.7465313

waLBerla (widely applicable Lattice Boltzmann from Erlangen) Chair for System Simulation https://doi.org/10.5281/zenodo.10054460

Short summary

Packing models promise efficient and accurate porosity predictions of fluvial sediment deposits. In this study, three packing models were reviewed, calibrated, and validated. Only two of the models were able to handle the continuous and large grain size distributions typically encountered in rivers. We showed that an extension by a cohesion model is necessary and developed guidelines for successful predictions in different rivers.