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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...

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Detalles Bibliográficos
Autores principales: Cao, Zijun, Wang, Yu, Li, Dianqing
Lenguaje:eng
Publicado: Springer 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-662-52914-0
http://cds.cern.ch/record/2240519
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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
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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