Modelling of soil-water retention curve considering the effects of existing salt solution in the pore fluid
Soil-water retention curve (SWRC) has a wide application in geoenvironmental engineering from the predication of unsaturated shear strength to transient two-phase flow and stability analyses. Although various SWRC models have been proposed to take into account some influencing factors, less attentio...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2021-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2021/06/matecconf_PanAm-Unsat2021_02001.pdf |
| _version_ | 1818596998820921344 |
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| author | Sadeghi Hamed Golaghaei Darzi Ali |
| author_facet | Sadeghi Hamed Golaghaei Darzi Ali |
| author_sort | Sadeghi Hamed |
| collection | DOAJ |
| description | Soil-water retention curve (SWRC) has a wide application in geoenvironmental engineering from the predication of unsaturated shear strength to transient two-phase flow and stability analyses. Although various SWRC models have been proposed to take into account some influencing factors, less attention has been given to consider the effects of pore fluid osmotic potential. Therefore, the key objective of this study is to extend van Genchten’s model so that osmotic potential is considered as an independent factor governing the SWRC behavior. The new model comprises only six variables, which can be calibrated through minimal experimental measurements. More importantly, most of the model parameters have physical meaning by correlating macroscopic volumetric behavior and general trends of SWRC to osmotic potential. The results of validation tests revealed that the new osmotic-dependent SWRC model can predict the retention data in terms of both total and matric suction for two different soils and various molar concentrations very good. The proposed modeling approach does not require any advanced mercury intrusion porosimetry (MIP) tests, yet it can deliver excellent predictions by calibrating only six parameters which are far less than those incorporated into similar models for saline water permeating through the pore structure. |
| first_indexed | 2024-12-16T11:40:49Z |
| format | Article |
| id | doaj.art-f8cad6540e7141fcabed66ba66169b47 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-16T11:40:49Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-f8cad6540e7141fcabed66ba66169b472022-12-21T22:32:57ZengEDP SciencesMATEC Web of Conferences2261-236X2021-01-013370200110.1051/matecconf/202133702001matecconf_PanAm-Unsat2021_02001Modelling of soil-water retention curve considering the effects of existing salt solution in the pore fluidSadeghi Hamed0Golaghaei Darzi Ali1Assistant Professor, Department of Civil Engineering, Sharif University of TechnologyM.Sc. Student, Department of Civil Engineering, Sharif University of TechnologySoil-water retention curve (SWRC) has a wide application in geoenvironmental engineering from the predication of unsaturated shear strength to transient two-phase flow and stability analyses. Although various SWRC models have been proposed to take into account some influencing factors, less attention has been given to consider the effects of pore fluid osmotic potential. Therefore, the key objective of this study is to extend van Genchten’s model so that osmotic potential is considered as an independent factor governing the SWRC behavior. The new model comprises only six variables, which can be calibrated through minimal experimental measurements. More importantly, most of the model parameters have physical meaning by correlating macroscopic volumetric behavior and general trends of SWRC to osmotic potential. The results of validation tests revealed that the new osmotic-dependent SWRC model can predict the retention data in terms of both total and matric suction for two different soils and various molar concentrations very good. The proposed modeling approach does not require any advanced mercury intrusion porosimetry (MIP) tests, yet it can deliver excellent predictions by calibrating only six parameters which are far less than those incorporated into similar models for saline water permeating through the pore structure.https://www.matec-conferences.org/articles/matecconf/pdf/2021/06/matecconf_PanAm-Unsat2021_02001.pdf |
| spellingShingle | Sadeghi Hamed Golaghaei Darzi Ali Modelling of soil-water retention curve considering the effects of existing salt solution in the pore fluid MATEC Web of Conferences |
| title | Modelling of soil-water retention curve considering the effects of existing salt solution in the pore fluid |
| title_full | Modelling of soil-water retention curve considering the effects of existing salt solution in the pore fluid |
| title_fullStr | Modelling of soil-water retention curve considering the effects of existing salt solution in the pore fluid |
| title_full_unstemmed | Modelling of soil-water retention curve considering the effects of existing salt solution in the pore fluid |
| title_short | Modelling of soil-water retention curve considering the effects of existing salt solution in the pore fluid |
| title_sort | modelling of soil water retention curve considering the effects of existing salt solution in the pore fluid |
| url | https://www.matec-conferences.org/articles/matecconf/pdf/2021/06/matecconf_PanAm-Unsat2021_02001.pdf |
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