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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Bibliographic Details
Main Authors: Cao, Zijun, (Author), Wang, Yu, (Author), Li, Dianqing, (Author)
Format: eBook
Language: English
Published: Berlin : Springer, [2016]
Subjects:
Slopes (Soil mechanics) > Stability.
Geotechnical engineering > Mathematical models.
elektronické knihy
electronic books
ISBN: 9783662529140
9783662529126
Physical Description: 1 online resource (xvi, 190 pages) : illustrations (some color)

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020 |a 9783662529140  |q (electronic bk.) 
020 |z 9783662529126  |q (print) 
035 |a (OCoLC)956376302  |z (OCoLC)958084082  |z (OCoLC)958392549 
100 1 |a Cao, Zijun,  |e author. 
245 1 0 |a Probabilistic approaches for geotechnical site characterization and slope stability analysis /  |c Zijun Cao, Yu Wang, Dianqing Li. 
264 1 |a Berlin :  |b Springer,  |c [2016] 
264 4 |c ©2017 
300 |a 1 online resource (xvi, 190 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references. 
505 0 |a Preface; Contents; List of Principal Symbols and Abbreviations; 1 Introduction; 1.1 Background; 1.1.1 Uncertainties in Soil Properties; 1.1.2 Probabilistic Analysis of Geotechnical Structures; 1.1.3 Reliability-Based Design of Geotechnical Structures; 1.1.4 Geotechnical Site Characterization; 1.2 Objectives; 1.2.1 Uncertainty Propagation During Geotechnical Site Characterization; 1.2.2 Bayesian Framework for Geotechnical Site Characterization; 1.2.3 Prior Knowledge and Prior Distribution; 1.2.4 Probabilistic Site Characterization Using Limited Site Observation Data. 
505 8 |a 1.2.5 Probabilistic Site Characterization Using a Large Number of Site Observation Data1.2.6 Probabilistic Slope Stability Analysis Using Subset Simulation; 1.2.7 Probabilistic Failure Analysis of Slope Stability; 1.3 Layout of the Book; References; 2 Literature Review; 2.1 Geotechnical Site Characterization; 2.1.1 Desk Study and Site Reconnaissance; 2.1.2 In Situ Investigation; 2.1.3 Laboratory Testing; 2.1.4 Interpretation of Observation Data and Inferring the Site Subsurface Conditions; 2.1.5 Challenges in Geotechnical Site Characterization; 2.2 Uncertainties in Soil Properties. 
505 8 |a 2.2.1 Inherent Variability2.2.1.1 Lumb's Formulation; 2.2.1.2 Random Field Theory; 2.2.1.3 Statistical Homogeneity and Data Transformation; 2.2.1.4 Correlation Function and Correlation Length; 2.2.2 Measurement Errors; 2.2.3 Statistical Uncertainty; 2.2.4 Transformation Uncertainties; 2.2.5 Uncertainty Propagation; 2.3 Bayesian Approach; 2.3.1 Bayesian Mathematical Framework; 2.3.2 Prior Distribution; 2.3.2.1 Uninformative Prior Distribution; 2.3.2.2 Informative Prior Distribution; 2.3.2.3 Confidence Level of Prior Knowledge; 2.3.3 Likelihood Function; 2.3.4 Posterior Distribution. 
505 8 |a 2.3.5 Updating the Probability of an Event2.4 National Geotechnical Experimentation Site (NGES) at Texas A & M University; 2.5 Probabilistic Slope Stability Analysis; 2.5.1 First-Order Second-Moment Method (FOSM); 2.5.2 First-Order Reliability Method (FORM); 2.5.3 Direct Monte Carlo Simulation (Direct MCS); 2.5.4 Subset Simulation; 2.5.4.1 Subset Simulation Procedure; 2.5.4.2 Markov Chain Monte Carlo Simulation (MCMCS); Appendix 2.1: Several Empirical Correlations Reported by Kulhawy and Mayne (1990); References; 3 Bayesian Framework for Geotechnical Site Characterization; 3.1 Introduction. 
505 8 |a 3.2 Uncertainty Propagation During Geotechnical Site Characterization3.3 Uncertainty Modeling; 3.3.1 Inherent Spatial Variability; 3.3.2 Transformation Uncertainty; 3.4 Bayesian Framework; 3.5 Probability Distribution of the Design Soil Property; 3.6 The Most Probable Number of Soil Layers; 3.6.1 Bayesian Model Class Selection Method; 3.6.2 Calculation of the Evidence; 3.6.3 Calculation of Prior Probability; 3.6.4 Calculation of Probability Density Function of Site Observation Data; 3.7 Summary and Conclusions; References. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
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. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Slopes (Soil mechanics)  |x Stability. 
650 0 |a Geotechnical engineering  |x Mathematical models. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Wang, Yu,  |e author. 
700 1 |a Li, Dianqing,  |e author. 
776 0 8 |i Erscheint auch als:  |n Druck-Ausgabe  |t Cao, Zijun. Probabilistic Approaches for Geotechnical Site Characterization and Slope Stability Analysis 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-662-52914-0  |y Plný text 
992 |c NTK-SpringerENG 
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