Prediction of soft clay soil settlement using normalized rotational multiple yield surface framework (NRMYSF) / Hamzah Abd. Hamid
The prediction of soil settlement in geotechnical engineering can be challenging, primarily due to the influence of moisture content on soil shear strength. A reduction in shear strength can lead to increased soil settlement. In this research, the Normalized Rotational Multiple Yield Surface Framewo...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/91112/1/91112.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The prediction of soil settlement in geotechnical engineering can be challenging, primarily due to the influence of moisture content on soil shear strength. A reduction in shear strength can lead to increased soil settlement. In this research, the Normalized Rotational Multiple Yield Surface Framework (NRMYSF) is employed to predict settlement in soft clay soil. To achieve the objective of this research, the consolidated-drained (CD) triaxial tests were conducted. In this study, the Rotational Multiple Yield Surface Framework (RMYSF) is utilized to forecast the stress-strain curves of four sets of samples namely CD-A, CD-B, CD-C, and CD-D, at effective stresses of 50 kPa, 100 kPa, and 200 kPa. The percentage errors for these samples are 6.42%, 2.10%, 2.57%, and 1.78% respectively. To enhance accuracy, the NRMYSF is introduced, resulting in improved predictions. The NRMYSF exhibits lower percentage errors of 4.72%, 1.34%, 1.23%, and 0.67% for samples CD-A, CD-B, CD-C, and CD-D respectively. These lower error values indicate better agreement between predictions and laboratory results. The NRMYSF is extended to predict soil settlement based on shear strength stress-strain curves. Using 1D consolidation analysis, Normalized Rotational Multiple Yield Surface Framework (NRMYSF), and Settle 3D modelling software, the total settlement of soft clay soil is predicted to be 0.2048 meters, 0.1994 meters, and 0.1942 meters respectively. A comparison is made between the NRMYSF and other methods such as 1D consolidation analysis and Settle 3D software modelling, revealing difference errors of 2.7081% and 2.6078% respectively. Based on
these findings, it can be concluded that the Normalized Rotational Multiple Yield Surface Framework (NRMYSF) is a viable and practical approach for predicting soil settlement in soft clay soil. |
|---|