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The document discusses techniques for relating the liquid limit obtained from the Casagrande cup method and fall cone test in fine-grained soils of medium-low plasticity. It presents a study comparing machine learning algorithms to correlate the liquid limits from both methods using other parameters. The extremely randomized trees algorithm provided the best performance with an R2 value of 0.99, showing potential for machine learning to relate the methods, especially for liquid limits over 30.

Author

Matius Sanchez

Language

EN