國立高雄大學圖資館 |

Language: English

Back

Probabilistic approaches for geotech...

Cao, Zijun.

Probabilistic approaches for geotechnical site characterization and slope stability analysis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Probabilistic approaches for geotechnical site characterization and slope stability analysisby Zijun Cao, Yu Wang, Dianqing Li.
Author:	Cao, Zijun.
other author:	Wang, Yu.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg :2017.
Description:	xvi, 190 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Slopes (Soil mechanics)Stability.
Online resource:	http://dx.doi.org/10.1007/978-3-662-52914-0
ISBN:	9783662529140$q(electronic bk.)

Probabilistic approaches for geotechnical site characterization and slope stability analysis
Cao, Zijun.

Probabilistic approaches for geotechnical site characterization and slope stability analysis[electronic resource] /by Zijun Cao, Yu Wang, Dianqing Li. - Berlin, Heidelberg :Springer Berlin Heidelberg :2017. - xvi, 190 p. :ill. (some col.), digital ;24 cm.

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.

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.

ISBN: 9783662529140$q(electronic bk.)

Standard No.: 10.1007/978-3-662-52914-0doiSubjects--Topical Terms:

276439
Slopes (Soil mechanics)
--Stability.

LC Class. No.: TA749

Dewey Class. No.: 624.151363

Probabilistic approaches for geotechnical site characterization and slope stability analysis
LDR:02628nmm a2200325 a 4500 001 504744
003 DE-He213
005 20160806091323.0
006 m d
007 cr nn 008maaau
008 171030s2017 gw s 0 eng d
020 $a 9783662529140$q(electronic bk.)
020 $a 9783662529126$q(paper)
024 7 $a 10.1007/978-3-662-52914-0 $2 doi
035 $a 978-3-662-52914-0
040 $a GP $c GP
041 0 $a eng
050 4 $a TA749
072 7 $a RBP $2 bicssc
072 7 $a RBGK $2 bicssc
072 7 $a SCI042000 $2 bisacsh
082 0 4 $a 624.151363 $2 23
090 $a TA749 $b .C235 2017
100 1 $a Cao, Zijun. $3 769678
245 1 0 $a Probabilistic approaches for geotechnical site characterization and slope stability analysis $h [electronic resource] / $c by Zijun Cao, Yu Wang, Dianqing Li.
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2017.
300 $a xvi, 190 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 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 $a 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.
650 0 $a Slopes (Soil mechanics) $x Stability. $3 276439
650 0 $a Geotechnical engineering $x Mathematical models. $3 769680
650 1 4 $a Engineering. $3 210888
650 2 4 $a Geoengineering, Foundations, Hydraulics. $3 338647
650 2 4 $a Geotechnical Engineering & Applied Earth Sciences. $3 542182
650 2 4 $a Numerical Analysis. $3 275681
650 2 4 $a Simulation and Modeling. $3 273719
700 1 $a Wang, Yu. $3 724835
700 1 $a Li, Dianqing. $3 769679
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-52914-0
950 $a Engineering (Springer-11647)