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This is the first book to revisit geotechnical site characterization from a probabilistic point of view and provide rational tools to probabilistically characterize geotechnical properties and underground stratigraphy using limited information obtained from a specific site. This book not only provides new probabilistic approaches for geotechnical site characterization and slope stability analysis, but also tackles the difficulties in practical implementation of these approaches. In addition, this book also develops efficient Monte Carlo simulation approaches for slope stability analysis and implements these approaches in a commonly available spreadsheet environment. These approaches and the software package are readily available to geotechnical practitioners and alleviate them from reliability computational algorithms. The readers will find useful information for a non-specialist to determine project-specific statistics of geotechnical properties and to perform probabilistic analysis of slope stability.
| Autorius: | Zijun Cao, Dianqing Li, Yu Wang, |
| Leidėjas: | Springer Berlin Heidelberg |
| Išleidimo metai: | 2018 |
| Knygos puslapių skaičius: | 208 |
| ISBN-10: | 3662570947 |
| ISBN-13: | 9783662570944 |
| Formatas: | 235 x 155 x 12 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Probabilistic Approaches for Geotechnical Site Characterization and Slope Stability Analysis“
