Advertisement

Probabilistic Approaches for Geotechnical Site Characterization and Slope Stability Analysis

  • Zijun Cao
  • Yu Wang
  • Dianqing Li

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Zijun Cao, Yu Wang, Dianqing Li
    Pages 1-10
  3. Zijun Cao, Yu Wang, Dianqing Li
    Pages 11-51
  4. Zijun Cao, Yu Wang, Dianqing Li
    Pages 53-62
  5. Zijun Cao, Yu Wang, Dianqing Li
    Pages 123-145
  6. Zijun Cao, Yu Wang, Dianqing Li
    Pages 185-190

About this book

Introduction

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.

Keywords

Geotechnical Site Characterization Slope Stability Analysis Probabilistic Approaches Uncertainty Quantification Monte Carlo Simulations Bayesian Framework

Authors and affiliations

  • Zijun Cao
    • 1
  • Yu Wang
    • 2
  • Dianqing Li
    • 3
  1. 1.State Key Laboratory of Water Resources and Hydropower Engineering ScienceWuhan UniversityWuhanChina
  2. 2.City University of Hong KongHong KongChina
  3. 3.State Key Laboratory of Water Resources and Hydropower Engineering ScienceWuhan UniversityWuhanChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-52914-0
  • Copyright Information Zhejiang University Press and Springer-Verlag Berlin Heidelberg 2017
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-662-52912-6
  • Online ISBN 978-3-662-52914-0
  • Buy this book on publisher's site
Industry Sectors
Materials & Steel
Chemical Manufacturing
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering