Abstract
In this paper we show how to calibrate a site-specific transformation model to measure the undrained shear strength from CPTs. This practically unbiased transformation model can then be used to make a better estimation of the spatial average parameter, such as the depth-average of a soil layer in a homogenous deposit, using less costly indirect measurements. We show that there is a considerable difference in terms of characteristic value and probability density, between the assumptions of entirely random or systematic transformation uncertainty. Ultimately we show what the effect is of making more realistic choices for the random and systematic part in the transformation uncertainty for a case study with actual data.
| Original language | English |
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| Title of host publication | Proceedings of the 7th International Symposium on Geotechnical Safety and Risk (ISGSR) |
| Editors | Jianye Ching, Dian-Qing Li, Jie Zhang |
| Publisher | Research Publishing |
| Pages | 158-163 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-981-11-2725-0 |
| Publication status | Published - Dec 2019 |
| Event | ISGSR 2019: 7th International Symposium on Geotechnical Safety and Risk - National Taiwan University of Science and Technology, Taipei, Taiwan Duration: 11 Dec 2019 → 13 Dec 2019 http://isgsr2019.org/ |
Conference
| Conference | ISGSR 2019: 7th International Symposium on Geotechnical Safety and Risk |
|---|---|
| Abbreviated title | ISGSR 2019 |
| Country/Territory | Taiwan |
| City | Taipei |
| Period | 11/12/19 → 13/12/19 |
| Internet address |
Keywords
- Site investigation
- spatial average
- undrained shear strength
- transformation error
- random error
- systematic error