The Identification of the Uncertainty in Soil Strength Parameters Based on CPTu Measurements and Random Fields
The present paper responds to the challenge of modeling uncertainty in soil strength parameters concerning its spatial variability in a situation of limited soil information. Understanding this uncertainty allows for the management of the risk of geotechnical structure failure. In the present work,...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/16/5393 |
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| author | Joanna Pieczyńska-Kozłowska Irena Bagińska Marek Kawa |
| author_facet | Joanna Pieczyńska-Kozłowska Irena Bagińska Marek Kawa |
| author_sort | Joanna Pieczyńska-Kozłowska |
| collection | DOAJ |
| description | The present paper responds to the challenge of modeling uncertainty in soil strength parameters concerning its spatial variability in a situation of limited soil information. Understanding this uncertainty allows for the management of the risk of geotechnical structure failure. In the present work, this uncertainty is identified based on signals from the cone penetration test (CPT) device. Signals are directly transformed using existing interpretation methods (typically used as a source of mean values of parameters for a given range of depths) to obtain depth-varying effective strength parameters of the soil. The process is performed by incorporating data from two case studies from different locations in similar soil materials. First, Keswick clay from Australia, for which the results of both CPT and laboratory tests are available, is examined. Second, to further verify the obtained results, the soil from Poland called Świerzna clay, for which only CPT signals were available, is also tested. As shown, the variability of the transformed signals can be a good source of information for identifying uncertainty in soil strength. It agrees well with literature data and can be used to identify random fields describing soil parameters. |
| first_indexed | 2024-03-10T08:24:39Z |
| format | Article |
| id | doaj.art-afc67dc3d66c42a8af4be7acb7437d9c |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T08:24:39Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-afc67dc3d66c42a8af4be7acb7437d9c2023-11-22T09:38:59ZengMDPI AGSensors1424-82202021-08-012116539310.3390/s21165393The Identification of the Uncertainty in Soil Strength Parameters Based on CPTu Measurements and Random FieldsJoanna Pieczyńska-Kozłowska0Irena Bagińska1Marek Kawa2Department of Civil Engineering, Wrocław University of Science and Technology, 50-370 Wrocław, PolandDepartment of Civil Engineering, Wrocław University of Science and Technology, 50-370 Wrocław, PolandDepartment of Civil Engineering, Wrocław University of Science and Technology, 50-370 Wrocław, PolandThe present paper responds to the challenge of modeling uncertainty in soil strength parameters concerning its spatial variability in a situation of limited soil information. Understanding this uncertainty allows for the management of the risk of geotechnical structure failure. In the present work, this uncertainty is identified based on signals from the cone penetration test (CPT) device. Signals are directly transformed using existing interpretation methods (typically used as a source of mean values of parameters for a given range of depths) to obtain depth-varying effective strength parameters of the soil. The process is performed by incorporating data from two case studies from different locations in similar soil materials. First, Keswick clay from Australia, for which the results of both CPT and laboratory tests are available, is examined. Second, to further verify the obtained results, the soil from Poland called Świerzna clay, for which only CPT signals were available, is also tested. As shown, the variability of the transformed signals can be a good source of information for identifying uncertainty in soil strength. It agrees well with literature data and can be used to identify random fields describing soil parameters.https://www.mdpi.com/1424-8220/21/16/5393geotechnical surveysoil strength parametersCPT dataspatial variability |
| spellingShingle | Joanna Pieczyńska-Kozłowska Irena Bagińska Marek Kawa The Identification of the Uncertainty in Soil Strength Parameters Based on CPTu Measurements and Random Fields Sensors geotechnical survey soil strength parameters CPT data spatial variability |
| title | The Identification of the Uncertainty in Soil Strength Parameters Based on CPTu Measurements and Random Fields |
| title_full | The Identification of the Uncertainty in Soil Strength Parameters Based on CPTu Measurements and Random Fields |
| title_fullStr | The Identification of the Uncertainty in Soil Strength Parameters Based on CPTu Measurements and Random Fields |
| title_full_unstemmed | The Identification of the Uncertainty in Soil Strength Parameters Based on CPTu Measurements and Random Fields |
| title_short | The Identification of the Uncertainty in Soil Strength Parameters Based on CPTu Measurements and Random Fields |
| title_sort | identification of the uncertainty in soil strength parameters based on cptu measurements and random fields |
| topic | geotechnical survey soil strength parameters CPT data spatial variability |
| url | https://www.mdpi.com/1424-8220/21/16/5393 |
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