Phoon / Ching Risk and Reliability in Geotechnical Engineering

1. Auflage 2014
ISBN: 978-1-4822-2722-2
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 624 Seiten

Establishes Geotechnical Reliability as Fundamentally Distinct from Structural Reliability

Reliability-based design is relatively well established in structural design. Its use is less mature in geotechnical design, but there is a steady progression towards reliability-based design as seen in the inclusion of a new Annex D on "Reliability of Geotechnical Structures" in the third edition of ISO 2394. Reliability-based design can be viewed as a simplified form of risk-based design where different consequences of failure are implicitly covered by the adoption of different target reliability indices. Explicit risk management methodologies are required for large geotechnical systems where soil and loading conditions are too varied to be conveniently slotted into a few reliability classes (typically three) and an associated simple discrete tier of target reliability indices.

Provides Realistic Practical Guidance

Risk and Reliability in Geotechnical Engineering makes these reliability and risk methodologies more accessible to practitioners and researchers by presenting soil statistics which are necessary inputs, by explaining how calculations can be carried out using simple tools, and by presenting illustrative or actual examples showcasing the benefits and limitations of these methodologies.

With contributions from a broad international group of authors, this text:

- Presents probabilistic models suited for soil parameters

- Provides easy-to-use Excel-based methods for reliability analysis

- Connects reliability analysis to design codes (including LRFD and Eurocode 7)

- Maximizes value of information using Bayesian updating

- Contains efficient reliability analysis methods

Accessible To a Wide Audience

Risk and Reliability in Geotechnical Engineering presents all the "need-to-know" information for a non-specialist to calculate and interpret the reliability index and risk of geotechnical structures in a realistic and robust way. It suits engineers, researchers, and students who are interested in the practical outcomes of reliability and risk analyses without going into the intricacies of the underlying mathematical theories.

Zielgruppe

Researchers and graduate students in geotechnical engineering, and consulting geotechnical engineers.

Autoren/Hrsg.

Phoon, Kok-Kwang

Ching, Jianye

Fachgebiete

• Technische Wissenschaften Bauingenieurwesen Bauingenieurwesen

Inhaltsverzeichnis

Part I

Properties

Constructing multivariate distributions for soil parameters; Jianye Ching and Kok-Kwang Phoon

Introduction

Normal random variable

Bivariate normal vector

Multivariate normal vector

Non-normal random variable

Multivariate non-normal random vector

Real example

Future challenges

List of symbols

References

Modeling and simulation of bivariate distribution of shear strength parameters using copulas; Dian-Qing Li and Xiao-Song Tang

Introduction

Copula theory

Modeling bivariate distribution of shear strength parameters

Simulating bivariate distribution of shear strength parameters

Impact of copula selection on retaining wall reliability

Summary and conclusions

Acknowledgments

Appendix 2.1: MATLAB® codes

List of symbols

References

Part II

Methods

Evaluating reliability in geotechnical engineering; J. Michael Duncan and Matthew D. Sleep

Purpose of reliability analysis

Probability of failure and risk

Language of statistics and probability

Probability of failure and factor of safety

Methods of estimating standard deviations

Computing probability of failure

Monte Carlo analysis using @Risk™

Hasofer Lind method

Taylor Series method with assumed normal distribution of the factor of safety

Taylor Series method with a lognormal distribution of the factor of safety

PEM with a normal distribution for the factor of safety

PEM with a lognormal distribution for the factor of safety

Comments on the methods

Summary

References

Maximum likelihood principle and its application in soil liquefaction assessment; Charng Hsein Juang, Sara Khoshnevisan, and Jie Zhang

Introduction

Principle of maximum likelihood

Liquefaction probability based on generalized linear regression

Converting a deterministic liquefaction model into a probabilistic model

Estimation of liquefaction-induced settlement

Summary and Conclusions

Acknowledgments

Appendix 4.1: Model of Robertson and Wride (1998) and Robertson (2009)

Appendix 4.2: Notation

References

Bayesian analysis for learning and updating geotechnical parameters and models with measurements; Daniel Straub and Iason Papaioannou

Introduction

Bayesian analysis

Geotechnical reliability based on measurements: Step-by-step procedure for Bayesian analysis

Advanced algorithms for efficient and effective Bayesian updating of geotechnical models

Application: Foundation of transmission towers under tensile loading

Application: Finite-element-based updating of soil parameters and reliability

Concluding remarks

Acknowledgment

References

Polynomial chaos expansions and stochastic finite-element methods; Bruno Sudret

Introduction

Uncertainty propagation framework

Polynomial chaos expansions

Postprocessing for engineering applications

Sensitivity analysis

Application examples

Conclusions

Acknowledgments

Appendix 6.1: List of symbols

Appendix 6.2: Hermite polynomials

References

Practical reliability analysis and design by Monte Carlo Simulation in spreadsheet; Yu Wang and Zijun Cao

Introduction

Subset Simulation

Expanded RBD with Subset Simulation

Probabilistic failure analysis using Subset Simulation

Spreadsheet implementation of MCS-based reliability analysis and design

Illustrative example I: Drilled shaft design

Illustrative example II: James Bay Dike design scenario

Summary and concluding remarks

Acknowledgment

List of symbols

References

Part I

Über Autor(innen)

Kok-Kwang Phoon is a distinguished professor and head of the Department of Civil and Environmental Engineering, National University of Singapore, and past president of the Geotechnical Society of Singapore. His main research interests include statistical characterization of geotechnical parameters and reliability-based design in geotechnical engineering. He is the recipient of numerous research awards, including the ASCE Norman Medal in 2005 and the NUS Outstanding Researcher Award in 2010. He is the founding editor of Georisk and chair of TC304 (Engineering Practice of Risk Assessment and Management) in the International Society for Soil Mechanics and Geotechnical Engineering.

Jianye Ching is a professor in the Department of Civil Engineering, National Taiwan University. His main research interests include geotechnical reliability analysis and reliability-based design, basic uncertainties in soil properties, random fields and spatial variability, and geotechnical design codes. He is the secretary of TC304 (risk) in the International Society for Soil Mechanics and Geotechnical Engineering. He is the recipient of the Outstanding Research Award and the Wu-Da-Yu Memorial Award from the National Science Council of Taiwan, Republic of China.