Probing-Induced Fabric Evolution and Particle Crushing: Insights from Advanced Sensing and Digital Imaging
Probing-Induced Fabric Evolution and Particle Crushing: Insights from Advanced Sensing and Digital Imaging
Project Description
In this project, we plan to investigate the coupled evolution of fabric and particle crushing in particulate materials subjected to probe penetration (e.g., cone penetration tests). An instrumented probe/cone measuring penetration and sleeve resistances is advanced at controlled rates in sand samples of varying relative densities, prepared in a large calibration chamber. The probe will also be equipped with a vision sensor to capture changes in particle shapes and fabric during the experiments.
High-resolution imaging, combined with Digital Image Correlation (DIC) and individual particle tracking, will be used to quantify displacement fields, strain localization, and force-chain surrogates. Purpose-designed stress sensors will provide stress tensors. After testing, microscopy and X-ray CT will be used to assess particle crushing and gradation changes.
We plan to define fabric descriptors (e.g., void ratio, orientation tensors), kinematic metrics (e.g., shear band thickness, dilatancy), and a particle crushing index to relate soil structure to penetration resistances in different sands. The results will provide mechanistic insights linking probe response to the evolution of the microstructure of crushable, particulate materials, advancing the fundamental understanding and interpretation of penetration tests in these materials.
Start Date
January 2026
Postdoc Qualifications
The postdoc should have experience with particulate materials, penetration experiments, advanced instrumentation, digital image correlation, image processing, vision probes, and Xray CT.
Co-advisors
Monica Prezzi - [email protected]
Vikas Tomar - [email protected]
Bibliography
Tehrani, F., Han, F., Salgado, R., Prezzi, M., Tovar, R. D. and Castro, A. G. (2016). "Effect of Surface Roughness on the Shaft Resistance of Non-Displacement Piles Embedded in Sand." Géotechnique, 66(5), 386-400, doi: 10.1680/jgeot.15.P.00710.1680/jgeot.15.P.007. Galvis-Castro, A.C., Tovar-Valencia, R. D., Salgado, R. and Prezzi, M. (2019). "Effect of Loading Direction on the Shaft Resistance of Jacked Piles in Dense Sand." Géotechnique, 69(1), 16-28, https://doi.or g/10.1680/jgeot.17.p.046. Galvis-Castro, A. C., Tovar-Valencia, R. D., Salgado, R., & Prezzi, M. (2019). "Compressive and Tensile Shaft Resistance of Non-displacement Piles in Sand." Journal of Geotechnical and Geoenvironmental Engineering, 145 (9), 0401041. Doreau-Malioche, J., Galvis-Castro, A. C., Tovar-Valencia, R. D., Viggiani, G., Combe, G., Prezzi, M., and Salgado, R. (2019). "Characterising Processes at Pile-sand Interface through Digital Image Analysis and x-ray CT." Géotechnique Letters 9(4), 254-262. Tovar-Valencia, R.D., Galvis-Castro, A., Salgado, R., Prezzi, M. and Fridman, D. (2023). "Experimental Measurement of Particle Crushing around Model Piles Jacked in a Calibration Chamber." Acta Geotechnica, 18(3), pp. 1331–1351. https://doi.org/10.1007/s11440-022-01681-8. Dhiman, A. Lewis, N. S., Olokun, A., Dlott, D.D., and Tomar, V., Thermo-mechanical behavior measurement of polymer-bonded sugar under shock compression using in-situ time-resolved Raman spectroscopy, Scientific Reports, Vo. 12, Article Number 1876, 2022, https://www.nature.com/articles/s41598-022-05834-3. Reig Buades, Luis* M., Sushrut Karmarkar, Abhijeet Dhiman, and Vikas Tomar. Reig Buades, Luis M., Sushrut Karmarkar, Abhijeet Dhiman, and Vikas Tomar. "Local strain distribution imaging using terahertz time‐domain spectroscopy." Strain: e12425., 2022 https://doi.org/10.1111/str.12425. |