What question did this study set out to answer?

The aim is to analyze the installation regimes of suction buckets using micromechanical simulations, focusing specifically on piping effects.

June 3, 2026Open Access

Fully-resolved micromechanical study of suction bucket installation regimes with emphasis on piping

Key Points

The aim is to analyze the installation regimes of suction buckets using micromechanical simulations, focusing specifically on piping effects.
Utilized the waLBerla framework to conduct simulations of suction bucket installations.
Provided simulation output in various formats including mp4 videos and .dat files.
Completed simulations on the LUMI-G supercomputer using 64 nodes.
Simulation results are demonstrated through videos and data files available for further analysis.
Specific installation parameters were defined and managed using a job script for reproducibility.
The simulation framework enables adaptation for CPU, NVIDIA GPU, or AMD GPU processing.

Abstract

This dataset contains simulation videos (*. mp4), a snapshot of the waLBerla framework (walberla. zip), the simulation input files (*. dat), and the job script (SuctionBucket. sh) for the following paper: "Fully-resolved micromechanical study of suction bucket installation regimes with emphasis on piping". The simulation units, i. e. , lattice Boltzmann units, can be converted into SI units using "LBMUnitConversion. xlsx". The application source code can be found in "walberla/apps/showcases/SuctionBucket/SuctionBucket. cpp". How to build the code (note: the following Python packages have to be installed: jinja2 py-cpuinfo lbmpy==1. 3. 7 cmake) unzip walberla. zip cd walberla mkdir build cd build cmake. . -DWALBERLABUILDWITHCODEGEN=ON (per default, the code is built for CPUs, if it should run on NVIDIA GPUs, add "-DWALBERLABUILDWITHCUDA=ON -DCMAKECUDAARCHITECTURES=60", if it should run on AMD GPUs, add "-DWALBERLABUILDWITHHIP=ON" instead) cd apps/showcases/SuctionBucket make -j How to run the application executable: see SuctionBucket. sh Notes: See SuctionBucket. sh on how to change the simulation parameters. To use a different number of MPI processes, change "numBlocks" in the parameter file (the product has to be equal to the number of MPI processes). For the simulations provided, 64 nodes of the LUMI-G supercomputer were used.

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Cite This Study

Kemmler et al. (Mon,) studied this question.

synapsesocial.com/papers/6a1fc4bbdee9eb8c0dce6334 https://doi.org/https://doi.org/10.5281/zenodo.19472619

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