Shengpeng Hao and Thomas Pabst
Article (2022)
An external link is available for this itemDepartment: | Department of Civil, Geological and Mining Engineering |
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Research Center: | RIME - Research Institute on Mines and the Environment UQAT-Polytechnique |
PolyPublie URL: | https://publications.polymtl.ca/50379/ |
Journal Title: | International Journal of Geomechanics (vol. 22, no. 5) |
Publisher: | American Society of Civil Engineers |
DOI: | 10.1061/(asce)gm.1943-5622.0002363 |
Official URL: | https://doi.org/10.1061/%28asce%29gm.1943-5622.000... |
Date Deposited: | 18 Apr 2023 14:58 |
Last Modified: | 08 Apr 2025 07:18 |
Cite in APA 7: | Hao, S., & Pabst, T. (2022). Experimental Investigation and Prediction of the Permanent Deformation of Crushed Waste Rock Using an Artificial Neural Network Model. International Journal of Geomechanics, 22(5), 16 pages. https://doi.org/10.1061/%28asce%29gm.1943-5622.0002363 |
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