Spam: Software for Practical Analysis of Materials - datasets for tutorials
Creators
- 1. Univ. Grenoble Alpes, CNRS, Grenoble INP, Grenoble, France
- 2. Univ. Grenoble Alpes, CNRS, INRAE, IRD, Météo France, OSUG, 38000 Grenoble, France
- 3. Institute of Petroleum Engineering, Heriot-Watt University, Edinburgh UK
- 4. Division of Geotechnical Engineering, Lund University, Sweden
- 5. Division of Solid Mechanics, Lund University, Sweden
- 6. Institute of Geotechnical Engineering and Construction Management, Hamburg University of Technology (TUHH)
Description
Datasets for spam tutorials:
- VEC4 dataset from E.M. Charalampidou, E. Tudisco, S.A. Hall
- Experimental details available here: Charalampidou, E.M. (2011), "Experimental study of localised deformation in porous sandstones", PhD Thesis
- This dataset is two x-ray tomography scans of a notched sandstone sample scanned before and after deformation in an external rig.
There is a rigid body displacement between the two scans that can be taken into account nicely with a registration.
Scans from Laboratoire 3SR, Grenoble.
- M2EA05 dataset from E. Andò, G. Viggiani and J. Andrade.
This data already used in the following papers for comparison to numerical simulations:- Kawamoto, R., Andò, E., Viggiani, G., & Andrade, J. E. (2016). Level set discrete element method for three-dimensional computations with triaxial case study. Journal of the Mechanics and Physics of Solids, 91, 1-13
- Nadimi, S., Fonseca, J., Andò, E., & Viggiani, G. (2019). A micro finite-element model for soil behaviour: experimental evaluation for sand under triaxial compression. Géotechnique, 1-6
- This dataset is a series of x-ray tomographies acquired during the triaxial compression of a small sample of a "Martian Simulant" soil, performed in Laboratoire 3SR, Grenoble.
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c01_F10_b4 dataset from O. Stamati, E. Roubin, E. Andò and Y. Malecot
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This dataset belongs to a paper which is under review
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This is a 4-binned x-ray tomography of a small cylindrical sample of micro-concrete
Scans from Laboratoire 3SR, Grenoble.
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SandNX dataset from M. Milatz
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The dataset is currently being analysed further
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See this publication for the experimental setup: Milatz, M. (2020). An automated testing device for continuous measurement of the hysteretic water retention curve of granular media. Acta Geotechnica, 1-19
Data acquired on NeXT-Grenoble, a simultaneous Neutron and X-ray scanner at the ILL in Grenoble (Experiment UGA-73).
Neutron tomography has had a x0.7 downscale to bring it approximately in line with the pixel size for the x-ray tomography.
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YehyaConcreteNX dataset from M. Yehya, A. Tengattini, E. Andò, F. Dufour
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Data acquired on NeXT-Grenoble, a simultaneous Neutron and X-ray scanner at the ILL in Grenoble (Experiment UGA-25).
Files
c01_F10_b4.tif
Files
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