Prediction of the shear strength parameters from easily-available soil properties by means of multivariate regression and artificial neural network methods
| Autor: | Mojtaba Mohammadi, Seyed Mahmoud Fatemi Aghda, Mehdi Talkhablou, Akbar Cheshomi |
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| Rok vydání: | 2020 |
| Předmět: |
Multivariate statistics
Artificial neural network 0211 other engineering and technologies 02 engineering and technology Geotechnical Engineering and Engineering Geology Triaxial shear test Shear strength (soil) Multilayer perceptron 021105 building & construction Soil water Soil properties Geotechnical engineering Saturated soils Geology 021101 geological & geomatics engineering |
| Zdroj: | Geomechanics and Geoengineering. 17:442-454 |
| ISSN: | 1748-6033 1748-6025 |
| DOI: | 10.1080/17486025.2020.1778194 |
| Popis: | Shear strength parameters of soils are essential in civil projects. Two important parameters for these projects are the O’ and C’ of saturated soils, which are usually obtained by the triaxial shea... |
| Databáze: | OpenAIRE |
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