California Bearing Ratio

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

Light Gradient Boosting Machine is a new machine learning technique developed by Microsoft corporation which has been proposed in the present study to determine the CBR of stabilized expansive soils. Model performance of the ML model are evaluated by different criteria such as correlation coefficient R, root mean square error RMSE and mean absolute error MAE.

8p viengfa 28-10-2024 3 2   Download

The paper presents a series of laboratory tests for California Bearing Ratio (CBR) to investigate the bearing capacity and the failure mechanism of nonwoven geotextile reinforced clay. The variation of the tests included the number of reinforcement layers and compaction energy.

16p vifaye 20-09-2024 2 1   Download

Nghiên cứu đề xuất giải pháp cải tạo đất bùn nạo vét lòng sông sử dụng xi măng và hỗn hợp xi măng cát kết hợp với phương pháp đầm chặt. Cường độ của mẫu thí nghiệm được kiểm nghiệm thông qua thí nghiệm xác định chỉ số California Bearing Ratio (CBR).

12p vilusaka2711 19-11-2019 63 3   Download

Document "Elastic Modulus of Soil" give you the knowledge: Effect of ocr and confining pressure on soil properties, young's modulus of soil. Invite you to refer to the document content more learning materials and research.

17p clackpy 22-01-2016 58 3   Download