Dataset Open Access
Bieberle, André;
Schleicher, Eckhard
In this study, we used gamma-ray computed tomography (GammaCT) as reference measurement system to evaluate a novel, non-destructive, smart gravel sensor that is based on the well-known wire-mesh sensor. Various sediment fillings with different infiltrating particle sizes are applied to the gravel sensor and the generated particle holdup is locally determined with both measurement systems simultaneously.
Name | Size | |
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gravelSensor_rawdata.zip
md5:e72ad74eee73ca045121918a45397b43 |
17.3 MB | Download |
gravelSensor_recodata.zip
md5:d719f35c62415bb17580c0de86de1642 |
15.2 MB | Download |
matrix.md
md5:b770ba12b48a53858821a60534c67941 |
4.0 kB | Download |
All versions | This version | |
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Views | 177 | 177 |
Downloads | 14 | 14 |
Data volume | 82.4 MB | 82.4 MB |
Unique views | 154 | 154 |
Unique downloads | 14 | 14 |
Bieberle, André, & Schleicher, Eckhard. (2024). Evaluation data set for the GravelSensor [Data set]. Rodare. http://doi.org/10.14278/rodare.3090