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湿润过程中双峰土壤水分特征曲线的估算

Estimation of bimodal soil-water characteristics curve under wetting process.

作者信息

Bello Nura, Satyanaga Alfrendo, Gofar Nurly, Kim Jong

机构信息

Department of Civil and Environmental Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, Kazakhstan.

Department of Civil Engineering, Post Graduate Program, Universitas Bina Darma, Palembang, Indonesia.

出版信息

PLoS One. 2025 Jun 25;20(6):e0325646. doi: 10.1371/journal.pone.0325646. eCollection 2025.

Abstract

Soil-water characteristics curve (SWCC) is hysteretic. The hysteretic curves represent the soil conditions during drying and wetting processes. Almost all failure of geotechnical structures, particularly in soils with dual porosity (bimodal soils) occurs during soil wetting, making the wetting curve more relevant to geotechnical applications than the drying curve. Still, due to the high-cost implications, time require, and difficulties associated with measuring SWCC under wetting process, the wetting curve has been continuously neglected. This leads to analyses that do not reflect the actual soil condition, which may result in structural failure. Although bimodal soils are encountered in many areas across the globe, there is no mathematical model for estimating bimodal SWCC under wetting process. This work developed a new mathematical equation to estimate a bimodal SWCC under wetting process. The proposed model also has parameters with physical meaning in relation to the variables of the wetting SWCC, which is very important in practical applications and numerical analyses. Six soil types were used in the model validation. The overall model performance has been evaluated through statistical methods using the coefficient of determination (R2) and Root Mean Square Error (RMSE). The evaluation also indicates a good performance of the model, with an average RMSE of 0.0263 and an average R2 of 0.9945 for the six soil samples used in the validation. Given the significance of wetting-induced failures, the proposed model is highly relevant in engineering applications.

摘要

土壤水分特征曲线(SWCC)具有滞后性。滞后曲线代表了土壤在干燥和湿润过程中的状态。几乎所有岩土结构的破坏,特别是在具有双重孔隙度的土壤(双峰土壤)中,都发生在土壤湿润过程中,这使得湿润曲线比干燥曲线在岩土工程应用中更具相关性。然而,由于成本高昂、所需时间长以及在湿润过程中测量SWCC存在困难,湿润曲线一直被忽视。这导致分析结果无法反映实际土壤状况,可能会导致结构破坏。尽管全球许多地区都存在双峰土壤,但目前尚无用于估算湿润过程中双峰SWCC的数学模型。这项工作开发了一种新的数学方程来估算湿润过程中的双峰SWCC。所提出的模型还具有与湿润SWCC变量相关的具有物理意义的参数,这在实际应用和数值分析中非常重要。在模型验证中使用了六种土壤类型。通过使用决定系数(R2)和均方根误差(RMSE)的统计方法对模型的整体性能进行了评估。评估结果还表明该模型性能良好,对于验证中使用的六个土壤样本,平均RMSE为0.0263,平均R2为0.9945。鉴于湿润引发破坏的重要性,所提出的模型在工程应用中具有高度相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4556/12193060/6a7be607815c/pone.0325646.g001.jpg

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