Integrating the Grading Entropy Theory (GET) into a Physics-Informed Neural Network (PINN) to predict soil hydraulic properties
The soil's hydraulic properties are fundamental for most geotechnical analyses and designs. For fully saturated soils, the Soil Saturated Hydraulic Conductivity (SSHC) is employed to quantify the capacity of the soil to transport liquid water. For partially saturated soils, apart from unsaturat...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025021358 |
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