Gravel content

In this study, the Machine Learning (ML) approach has been adopted using Random Forest (RF) model to estimate the CBR of the soil based on 10 input parameters such as Plasticity Index (PI), Liquid Limit (LL), Silt Clay content (SC), Fine Sand content (FS), Coarse sand content (CS), Optimum Water Content (OWC), Organic content (O), Plastic Limit (PL), Gravel content (G), and Maximum Dry Density (MDD), which can be easily determined in the laboratory.

14p viengfa 28-10-2024 6 2   Download

Research purposes: To identify the content of fine gravel to improve the density of the soil to meet the standard of upgrading and repairing the earth-dam. To identify the proper content of cement to reduce the disintegration of the soil that contains a significant amount of fine gravel to meet the standard of upgrading and repairing the earth-dam.

27p hobbsandshaw 09-06-2021 21 4   Download