Prediction of Soil Water Characteristic Curve Based on Soil Water Evaporation

Soil water characteristic curves (SWCC) and soil water evaporation curves both represent the laws of water content variation in the natural state. Aiming to investigate the relationship between them further, Hunan sand with six dry densities were used in this study, and a series of experimental stud...

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Main Authors: Gaoliang Tao, Da Lei, Lisheng Liu, Yi Li, Xueliang Zhu
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2021/6686442
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author Gaoliang Tao
Da Lei
Lisheng Liu
Yi Li
Xueliang Zhu
author_facet Gaoliang Tao
Da Lei
Lisheng Liu
Yi Li
Xueliang Zhu
author_sort Gaoliang Tao
collection DOAJ
description Soil water characteristic curves (SWCC) and soil water evaporation curves both represent the laws of water content variation in the natural state. Aiming to investigate the relationship between them further, Hunan sand with six dry densities were used in this study, and a series of experimental studies were performed. This study developed the application of evaporation curves in geotechnical engineering, reduced the workload of measuring soil water characteristic curves, and explored the relationship between evaporation rate and fractal dimension. Through the indoor tests, we measured soil water characteristic curves of specimens and soil water evaporation curves at different temperatures and explored the relationship between these two curves. In this study, a model was developed that allows the conversion from soil water evaporation curves to soil water characteristic curves, which is an equation about matrix suction ψ versus cumulative time t. Further, two prediction methods are developed, which are derived based on the Fredlund–Xing model and based on the Bird model, respectively. The proposed methods were validated using soil water evaporation tests of Hunan sand with six dry densities at three ambient temperatures, and the results showed that good prediction performances were achieved using these two methods.
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institution Kabale University
issn 1687-8086
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language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Advances in Civil Engineering
spelling doaj-art-e351c552e20e44eb8f246b5cfdca7f9c2025-02-03T01:05:25ZengWileyAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/66864426686442Prediction of Soil Water Characteristic Curve Based on Soil Water EvaporationGaoliang Tao0Da Lei1Lisheng Liu2Yi Li3Xueliang Zhu4School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, Hubei 430068, ChinaSchool of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, Hubei 430068, ChinaSchool of Urban Construction, Wuchang University of Technology, Wuhan, Hubei 430223, ChinaSchool of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, Hubei 430068, ChinaSchool of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, Hubei 430068, ChinaSoil water characteristic curves (SWCC) and soil water evaporation curves both represent the laws of water content variation in the natural state. Aiming to investigate the relationship between them further, Hunan sand with six dry densities were used in this study, and a series of experimental studies were performed. This study developed the application of evaporation curves in geotechnical engineering, reduced the workload of measuring soil water characteristic curves, and explored the relationship between evaporation rate and fractal dimension. Through the indoor tests, we measured soil water characteristic curves of specimens and soil water evaporation curves at different temperatures and explored the relationship between these two curves. In this study, a model was developed that allows the conversion from soil water evaporation curves to soil water characteristic curves, which is an equation about matrix suction ψ versus cumulative time t. Further, two prediction methods are developed, which are derived based on the Fredlund–Xing model and based on the Bird model, respectively. The proposed methods were validated using soil water evaporation tests of Hunan sand with six dry densities at three ambient temperatures, and the results showed that good prediction performances were achieved using these two methods.http://dx.doi.org/10.1155/2021/6686442
spellingShingle Gaoliang Tao
Da Lei
Lisheng Liu
Yi Li
Xueliang Zhu
Prediction of Soil Water Characteristic Curve Based on Soil Water Evaporation
Advances in Civil Engineering
title Prediction of Soil Water Characteristic Curve Based on Soil Water Evaporation
title_full Prediction of Soil Water Characteristic Curve Based on Soil Water Evaporation
title_fullStr Prediction of Soil Water Characteristic Curve Based on Soil Water Evaporation
title_full_unstemmed Prediction of Soil Water Characteristic Curve Based on Soil Water Evaporation
title_short Prediction of Soil Water Characteristic Curve Based on Soil Water Evaporation
title_sort prediction of soil water characteristic curve based on soil water evaporation
url http://dx.doi.org/10.1155/2021/6686442
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AT dalei predictionofsoilwatercharacteristiccurvebasedonsoilwaterevaporation
AT lishengliu predictionofsoilwatercharacteristiccurvebasedonsoilwaterevaporation
AT yili predictionofsoilwatercharacteristiccurvebasedonsoilwaterevaporation
AT xueliangzhu predictionofsoilwatercharacteristiccurvebasedonsoilwaterevaporation