Prediction of CBR and resilient modulus of crushed waste rocks using machine learning models

Shengpeng Hao, Thomas Pabst

Article (2022)

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Department:
Department of Civil, Geological and Mining Engineering
PolyPublie URL:
https://publications.polymtl.ca/50852/
Journal Title :
ACTA Geotechnica ( vol. 17 , no. 4 )
Publisher:
Springer-Verlag
DOI:
10.1007/s11440-022-01472-1
Official URL:
https://doi.org/10.1007/s11440-022-01472-1
OAI:
oai:publications.polymtl.ca:50852
ORCID
Date Deposited:
18 Apr 2023 14:58
Last Modified:
08 Oct 2026 18:25
Cite in APA 7:
Hao, S., & Pabst, T. (2022). Prediction of CBR and resilient modulus of crushed waste rocks using machine learning models. ACTA Geotechnica, 17(4), 1383-1402. https://doi.org/10.1007/s11440-022-01472-1

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