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ORIGINAL RESEARCH article
Front. Mater.
Sec. Structural Materials
Volume 11 - 2024 |
doi: 10.3389/fmats.2024.1467134
This article is part of the Research Topic Physico-Mechanical Properties and Treatment Technology of Hazardous Geomaterials-Volume III View all 5 articles
Nonlinear Regression Modeling of Swelling Characteristics in Cracked Expansive Soil: Integrating Crack, Moisture, Density, and Load Effect
Provisionally accepted- China Academy of Railway Sciences, Haidian, China
Expansive soils, known for their significant volume change with variations in moisture content, are widely distributed around the globe. Due to their swelling properties, expansive soils pose significant engineering challenges, especially in rapidly developing countries like China. This study aims to investigate the swelling mechanisms of expansive soils, focusing on the influence of crack characteristics on swelling behavior. The research methodology includes field investigations, laboratory experiments, and theoretical modeling. By comprehensively considering crack rate, dry density, initial moisture content, and overburden load, a nonlinear regression swelling model is proposed in this research. The degree of crack development in expansive soils is quantitatively characterized by the content of filling materials, leading to the establishment of a crack rate model for expansive soils. Swelling tests on expansive soils with different crack contents were conducted. The results show that the swelling rate is negatively correlated with the initial moisture content and positively correlated with dry density and crack rate. Additionally, the larger the crack rate, the more significant the change in the swelling rate. Furthermore, model validation confirms that this nonlinear regression model accurately describes the relationship between swelling rate and influencing factors. It offers a more precise prediction tool for infrastructure design and maintenance in expansive soil areas, advancing geotechnical engineering practices.
Keywords: expansive soil, Crack, nonlinear regression, Model, Swelling, prediction
Received: 19 Jul 2024; Accepted: 26 Aug 2024.
Copyright: © 2024 Yao, Cai, Su and Yan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Junkai Yao, China Academy of Railway Sciences, Haidian, China
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