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Probabilistic approaches for geotechnical site characterization and slope stability analysis
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 provid...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
Springer
2017
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-662-52914-0 http://cds.cern.ch/record/2240519 |
_version_ | 1780953068865585152 |
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author | Cao, Zijun Wang, Yu Li, Dianqing |
author_facet | Cao, Zijun Wang, Yu Li, Dianqing |
author_sort | Cao, Zijun |
collection | CERN |
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. |
id | cern-2240519 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2017 |
publisher | Springer |
record_format | invenio |
spelling | cern-22405192021-04-21T19:23:51Zdoi:10.1007/978-3-662-52914-0http://cds.cern.ch/record/2240519engCao, ZijunWang, YuLi, DianqingProbabilistic approaches for geotechnical site characterization and slope stability analysisEngineeringThis 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.Springeroai:cds.cern.ch:22405192017 |
spellingShingle | Engineering Cao, Zijun Wang, Yu Li, Dianqing Probabilistic approaches for geotechnical site characterization and slope stability analysis |
title | Probabilistic approaches for geotechnical site characterization and slope stability analysis |
title_full | Probabilistic approaches for geotechnical site characterization and slope stability analysis |
title_fullStr | Probabilistic approaches for geotechnical site characterization and slope stability analysis |
title_full_unstemmed | Probabilistic approaches for geotechnical site characterization and slope stability analysis |
title_short | Probabilistic approaches for geotechnical site characterization and slope stability analysis |
title_sort | probabilistic approaches for geotechnical site characterization and slope stability analysis |
topic | Engineering |
url | https://dx.doi.org/10.1007/978-3-662-52914-0 http://cds.cern.ch/record/2240519 |
work_keys_str_mv | AT caozijun probabilisticapproachesforgeotechnicalsitecharacterizationandslopestabilityanalysis AT wangyu probabilisticapproachesforgeotechnicalsitecharacterizationandslopestabilityanalysis AT lidianqing probabilisticapproachesforgeotechnicalsitecharacterizationandslopestabilityanalysis |