Probabilistic Approaches for Geotechnical Site Characterization and Slope Stability Analysis (Record no. 79090)

000 -LEADER
fixed length control field 03743nam a22005655i 4500
001 - CONTROL NUMBER
control field 978-3-662-52914-0
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801220924.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160806s2017 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783662529140
-- 978-3-662-52914-0
082 04 - CLASSIFICATION NUMBER
Call Number 624.15
100 1# - AUTHOR NAME
Author Cao, Zijun.
245 10 - TITLE STATEMENT
Title Probabilistic Approaches for Geotechnical Site Characterization and Slope Stability Analysis
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2017.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVI, 190 p. 55 illus., 7 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Literature Review -- Bayesian Framework for Geotechnical Site Characterization -- Quantification of Prior Knowledge through Subjective Probability Assessment -- Probabilistic Characterization of Young's Modulus of Soils Using Standard Penetration Tests -- Probabilistic Site Characterization Using Cone Penetration Tests -- Practical Reliability Analysis of Slope Stability by Advanced Monte Carlo Simulations in a Spreadsheet -- Efficient Monte Carlo Simulation of Parameter Sensitivity in Probabilistic Slope Stability Analysis -- Summary and Concluding Remarks.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Wang, Yu.
700 1# - AUTHOR 2
Author 2 Li, Dianqing.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-662-52914-0
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2017.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering geology.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Geotechnical engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Numerical analysis.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer simulation.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Geoengineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Geotechnical Engineering and Applied Earth Sciences.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Numerical Analysis.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Modelling.
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-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

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