Soil compression index (Cc) plays a vital role in describing the settlement behaviors of geotechnical infrastructures. The conventional Oedometer test broadly used to determine Cc is time-consuming and expensive, which challenges incorporating the high spatial variability of Cc. Alternatively, this study utilized the pedo transfer function (PTF) concept to develop a predictive model on the extreme gradient boosting (XGB) framework for estimating Cc with high accuracy and low effort. The presented XGB-PTF implemented on the database is acquired from 40 boreholes in Ho Chi Minh city and its vicinity to learn and recognize the correlation patterns of Cc and the easily-obtainable soil parameters (i.e., grain size distribution, unit density, moisture content, Atterberg limits). Rigorous evaluation with standard regression metrics demonstrated the efficiency and excellent performance of the XGB-PTF (e.g., low root-mean-squared error of 0.089 and a high coefficient of determination of 0.903). Furthermore, the presented framework showed its superiority over the current empirical equations in estimating Cc by higher prediction accuracy and applicability to the broader range of soil types. Given efficiency, flexibility, and dynamics, the presented model is expected to be a versatile approach to quantizing and advancing the knowledge of soil characteristics over a regional area.
Unsaturated soil behaviors characterize the failure mechanisms of geotechnical infrastructures with transient seepage conditions. Therefore, an accurate estimate of the unsaturated groundwater flow is vital in improving hazard management and assessment. This study attempts to develop a numerical scheme for 2-D transient analysis under unsaturated conditions. First, the unsaturated groundwater flow was described using the mass conservation law. Then, the Finite Difference Method and Backward Euler approximation were applied for space and time discretization, respectively. Furthermore, the simple Picard iteration was applied to linearize the governing equation. The reliability of the presented method was verified with the analytical solution. The evaluation results demonstrated the sufficiency of the proposed method, quantitatively expressed by the maximum error of 0.04% for opened boundary conditions and 0.15% for closed boundary conditions. The significant advantage of the proposed method is the flexibility with various soil-water characteristic curve models and associated hydraulic conductivity functions, which helps to improve the applicability in practice.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.