» عنوان : Probabilistic Approaches for Geotechnical Site Characterization and Slope Stability Analysis

نویسندگان : Zijun Cao, Yu Wang, Dianqing Li (auth.)

انتشار : Springer-Verlag Berlin Heidelberg, Year: 2017

شابک (ISBN ) : ۹۷۸-۳-۶۶۲-۵۲۹۱۲-۶, ۹۷۸-۳-۶۶۲-۵۲۹۱۴-۰

تعداد صفحات : ۲۰۲

فرمت : PDF

 

Description:

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.

Uncertainties in Soil Properties

Geotechnical materials are natural materials, and their properties are affected by various factors during their formation process, such as properties of their parent materials, weathering and erosion processes, transportation agents, and conditions of sedimentation (e.g., Vanmarcke 1977; Jaksa 1995; Phoon and Kulhawy 1999a; Baecher and Christian 2003; Mitchell and Soga 2005). Properties of geotechnical materials, therefore, vary spatially, which is usually known as “inherent spatial variability” (e.g., Vanmarcke 1977, 1983). In addition to inherent spatial variability of soils, various uncertainties are also incorporated into the estimated soil properties during geotechnical site characterization (e.g., Christian et al. 1994; Kulhawy 1996; Phoon and Kulhawy 1999a), including measurement errors arising from imperfect test equipments and/or procedural–operator errors, statistical uncertainty resulted from insufficient number of tests, and transformation uncertainty associated with the transformation models that are used to interpret test results. The inherent spatial variability and uncertainties that arise during geotechnical site characterization affect the estimations of soil properties and underground stratigraphy. This subsequently influences the analysis and/or designs of geotechnical structures.

 

 

 

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