Stochastic Estimation of Hydraulic Conductivity Using Self-Organizing Map
Publication: Geo-Risk 2023
ABSTRACT
Hydraulic conductivity is one of the most important mechanical properties of soil in geotechnical engineering—especially on seepage, consolidation, slope stability, and so on. In general, estimation of the hydraulic conductivity has been made using the empirical correlations with the relevant engineering characteristics such as porosity, soil textural class, grain-size distribution, organic content, specific surface, etc. This study proposes applications of self-organizing map (SOM) technique on the stochastic estimation of the hydraulic conductivity. The database consisting of fully saturated soils, primarily from the Florida area, is utilized for model training and verification. The result shows that data clustering using SOM can promote the more accurate statistical estimation than the conventional empirical correlation formulas.
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Published In
Geo-Risk 2023
Pages: 229 - 234
History
Published online: Jul 20, 2023
ASCE Technical Topics:
- Consolidated soils
- Correlation
- Engineering fundamentals
- Geomatics
- Geomechanics
- Geotechnical engineering
- Hydraulic conductivity
- Hydraulic engineering
- Hydraulic properties
- Mapping
- Mathematics
- Probability
- Saturated soils
- Soft soils
- Soil mechanics
- Soil properties
- Soils (by type)
- Statistics
- Stochastic processes
- Surveying methods
- Water and water resources
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