Probabilistic Approaches for Geotechnical Site Characterization and Slope Stability Analysis

Nonfiction, Science & Nature, Science, Other Sciences, Meteorology, Earth Sciences
Cover of the book Probabilistic Approaches for Geotechnical Site Characterization and Slope Stability Analysis by Zijun Cao, Yu Wang, Dianqing Li, Springer Berlin Heidelberg
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Author: Zijun Cao, Yu Wang, Dianqing Li ISBN: 9783662529140
Publisher: Springer Berlin Heidelberg Publication: August 6, 2016
Imprint: Springer Language: English
Author: Zijun Cao, Yu Wang, Dianqing Li
ISBN: 9783662529140
Publisher: Springer Berlin Heidelberg
Publication: August 6, 2016
Imprint: Springer
Language: English

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.

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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.

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