Probabilistic Approaches for Geotechnical Site Characterization and Slope Stability Analysis

✍ Scribed by Zijun Cao, Yu Wang, Dianqing Li (auth.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2017
• Tongue: English
• Leaves: 202
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xvi
Introduction....Pages 1-10
Literature Review....Pages 11-51
Bayesian Framework for Geotechnical Site Characterization....Pages 53-62
Quantification of Prior Knowledge Through Subjective Probability Assessment....Pages 63-96
Probabilistic Characterization of Young’s Modulus of Soils Using Standard Penetration Tests....Pages 97-121
Probabilistic Site Characterization Using Cone Penetration Tests....Pages 123-145
Practical Reliability Analysis of Slope Stability by Advanced Monte Carlo Simulations in a Spreadsheet....Pages 147-167
Efficient Monte Carlo Simulation of Parameter Sensitivity in Probabilistic Slope Stability Analysis....Pages 169-184
Summary and Concluding Remarks....Pages 185-190

✦ Subjects

Geoengineering, Foundations, Hydraulics;Geotechnical Engineering & Applied Earth Sciences;Numerical Analysis;Simulation and Modeling