Research Data Leeds Repository

Citation

Mohamadiyeh, Ahmad, Peakall, Jeffrey, Fairweather, Michael, Barnes, Martyn and Hunter, Timothy N. (2026) Data associated with 'Impinging jet erosion of granular sediments'. University of Leeds. [Dataset] https://doi.org/10.5518/1730

Dataset description

Data relating to the study of the erosion behaviour and modelling of glass particle beds under impinging jet conditions. The study focuses on particle size effects and the onset of erosion. Ultrasonic profiling was implemented to scan and measure crater profiles. The results indicate that particle size largely affects crater dimensions and erosion behaviour. The standard erosion parameter works well for modelling cohesionless particles down to a certain size limit, beyond which cohesive forces become significant. A new parameter, Eτ, based on particle critical shear stress, is introduced for erosion modelling. The transition to cohesive behaviour observed in the smallest glass particles is successfully accounted for using Eτ.

Divisions:	Faculty of Engineering and Physical Sciences > School of Computing
Related resources:	Location Type https://doi.org/10.1002/aic.70336 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	09 Mar 2026 15:26
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1527
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Mohamadiyeh, Ahmad https://orcid.org/0009-0000-8379-5328 University of Leeds https://ror.org/024mrxd33 ror Peakall, Jeffrey https://orcid.org/0000-0003-3382-4578 University of Leeds https://ror.org/024mrxd33 ror Fairweather, Michael https://orcid.org/0000-0001-7568-2235 University of Leeds https://ror.org/024mrxd33 ror Barnes, Martyn Sellafield Ltd. https://ror.org/018skgq22 ror Hunter, Timothy N. https://orcid.org/0000-0003-3922-491X University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: Engineering and Physical Research Council (EPSRC) UK, and Sellafield Ltd, through the EPSRC Center for Doctoral Training in Future Fluid Dynamics Grant numbers: EP/S022732/1 Publication date: 2026 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: scamm@leeds.ac.uk Last Modified: 09 Mar 2026 16:13

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