A new domain model for estimating water distribution in soil pores during the drying and wetting processes

It is well known that both the soil-water characteristic curve (SWCC) and hydraulic conductivity function (HCF) of unsaturated soils are hysteretic. Modeling the hysteresis behavior of unsaturated soil is crucial for understanding the hydraulic properties of unsaturated soil and solving geotechnical...

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Main Authors: Zhai, Qian, Xiang, Ke, Rahardjo, Harianto, Satyanaga, Alfrendo, Dai, Guoliang, Gong, Weimin, Zhao, Xueliang
Other Authors: School of Civil and Environmental Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/170658
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author Zhai, Qian
Xiang, Ke
Rahardjo, Harianto
Satyanaga, Alfrendo
Dai, Guoliang
Gong, Weimin
Zhao, Xueliang
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Zhai, Qian
Xiang, Ke
Rahardjo, Harianto
Satyanaga, Alfrendo
Dai, Guoliang
Gong, Weimin
Zhao, Xueliang
author_sort Zhai, Qian
collection NTU
description It is well known that both the soil-water characteristic curve (SWCC) and hydraulic conductivity function (HCF) of unsaturated soils are hysteretic. Modeling the hysteresis behavior of unsaturated soil is crucial for understanding the hydraulic properties of unsaturated soil and solving geotechnical problems in practice. There have been two types of models, the empirical model and the domain model, proposed to describe SWCC hysteresis. The results from the empirical model are subject to the model parameters, and the domain model has a physical theoretical background. However, the application of the domain model requires calibration using experimental data. In this technical note, a new domain model is proposed for estimating the water distribution in soil during both the drying and wetting processes. Consequently, the main wetting curve and the drying scanning curve can be estimated using the proposed domain model in this study. The estimated results from the proposed model agree well with the experimental data (a total of 16 sets) from different studies. The method proposed in this technical note provides a reliable approach for estimating water distribution in pores with different sizes for various types of soil.
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spelling ntu-10356/1706582023-09-25T05:06:05Z A new domain model for estimating water distribution in soil pores during the drying and wetting processes Zhai, Qian Xiang, Ke Rahardjo, Harianto Satyanaga, Alfrendo Dai, Guoliang Gong, Weimin Zhao, Xueliang School of Civil and Environmental Engineering Engineering::Civil engineering Domain Model Soil-Water Distribution It is well known that both the soil-water characteristic curve (SWCC) and hydraulic conductivity function (HCF) of unsaturated soils are hysteretic. Modeling the hysteresis behavior of unsaturated soil is crucial for understanding the hydraulic properties of unsaturated soil and solving geotechnical problems in practice. There have been two types of models, the empirical model and the domain model, proposed to describe SWCC hysteresis. The results from the empirical model are subject to the model parameters, and the domain model has a physical theoretical background. However, the application of the domain model requires calibration using experimental data. In this technical note, a new domain model is proposed for estimating the water distribution in soil during both the drying and wetting processes. Consequently, the main wetting curve and the drying scanning curve can be estimated using the proposed domain model in this study. The estimated results from the proposed model agree well with the experimental data (a total of 16 sets) from different studies. The method proposed in this technical note provides a reliable approach for estimating water distribution in pores with different sizes for various types of soil. The first and fifth authors would like to acknowledge the financial supports they received from the National Natural Science Foundation of China (No. 51878160, 52178317). 2023-09-25T05:06:05Z 2023-09-25T05:06:05Z 2023 Journal Article Zhai, Q., Xiang, K., Rahardjo, H., Satyanaga, A., Dai, G., Gong, W. & Zhao, X. (2023). A new domain model for estimating water distribution in soil pores during the drying and wetting processes. Engineering Geology, 322, 107180-. https://dx.doi.org/10.1016/j.enggeo.2023.107180 0013-7952 https://hdl.handle.net/10356/170658 10.1016/j.enggeo.2023.107180 2-s2.0-85160434529 322 107180 en Engineering Geology © 2023 Elsevier B.V. All rights reserved.
spellingShingle Engineering::Civil engineering
Domain Model
Soil-Water Distribution
Zhai, Qian
Xiang, Ke
Rahardjo, Harianto
Satyanaga, Alfrendo
Dai, Guoliang
Gong, Weimin
Zhao, Xueliang
A new domain model for estimating water distribution in soil pores during the drying and wetting processes
title A new domain model for estimating water distribution in soil pores during the drying and wetting processes
title_full A new domain model for estimating water distribution in soil pores during the drying and wetting processes
title_fullStr A new domain model for estimating water distribution in soil pores during the drying and wetting processes
title_full_unstemmed A new domain model for estimating water distribution in soil pores during the drying and wetting processes
title_short A new domain model for estimating water distribution in soil pores during the drying and wetting processes
title_sort new domain model for estimating water distribution in soil pores during the drying and wetting processes
topic Engineering::Civil engineering
Domain Model
Soil-Water Distribution
url https://hdl.handle.net/10356/170658
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