Modeling heterogeneous particle size distribution and compression index influence on uneven settlement in peat soil

Uneven settling in peat soil poses significant challenges in the field of geotechnical engineering. Simulation models are valuable tools for understanding and predicting settlement behavior. This work aims to develop a simulation model for uneven settling in peat soil by comparing the predictive simulation values to experimental data. The objective of this research is to evaluate the accuracy and reliability of the simulation model in monitoring and predicting the heterogeneity of settlement over time and the void ratios in peat soil. Furthermore, assess the model's ability to accurately depict settlement patterns across time and depth by comparing the predicted simulation values with experimental data. The research employs mathematical modeling and simulation to investigate uneven settling in peat soil. Field measurements were conducted at various time intervals and depths to collect experimental data on settlement. The predictive simulation values were generated from the simulation model using relevant input parameters. Graphical analysis was utilized to compare the predictive values with the empirical data. In this graph, the y-axis displays the anticipated simulation values of settlement, while the x-axis represents the depth within the peat soil where settlement is measured. Each data point on the graph corresponds to a specific depth, with the settlement values represented accordingly. This graph enables an analysis of the depth-dependent behavior of settlement as projected by the simulation model. It assists in evaluating the model's effectiveness in accurately representing fluctuations in settlement rates at different depths within the peat soil. The graph demonstrates a consistent trend or pattern that aligns with the predicted behavior of settlement concerning depth. A strong correspondence between the predictive simulation values and the x-axis (depth) indicates that the model effectively replicates the depth-dependent variations in settlement. If the model accurately predicts settlement patterns at various depths, it suggests that the model can capture the spatial distribution of settlement in peat soil. The study's results indicate that the developed simulation model has the potential to accurately reproduce changes in settlement patterns over time and space in peat soil. The graphs depicting the predictive simulation values show a strong correlation with the experimental data, particularly regarding the settlement patterns observed across time and depth. However, it is recommended to further refine and adjust the parameters to enhance the accuracy and reliability of the model. This study represents a significant advancement in creating a reliable tool for predicting uneven settlements in peat soil, which could greatly assist in geotechnical engineering practices.