Part I. Properties. Constructing multivariate distributions for soil parameters. Modeling and simulation of bivariate distribution of shear strength parameters using copulas. Part II. Methods. Evaluating reliability in geotechnical engineering. Maximum likelihood principle and its application in soil liquefaction assessment. Bayesian analysis for learning and updating geotechnical parameters and models with measurements. Polynomial chaos expansions and stochastic finite-element methods. Practical reliability analysis and design by Monte Carlo Simulation in spreadsheet. Part III. Design. LRFD calibration of simple limit state functions in geotechnical soil-structure design. Reliability-based design: Practical procedures, geotechnical examples, and insights. Managing risk and achieving reliable geotechnical designs using Eurocode
7. Part IV. Risk and decision. Practical risk assessment for embankments, dams, and slopes. Evolution of geotechnical risk analysis in North American practice. Assessing the value of information to design site investigation and construction quality assurance programs. Verification of geotechnical reliability using load tests and integrity tests. Part V. Spatial variability. Application of the subset simulation approach to spatially varying soils. Appendices. List of symbols. References. Index.