Description
Book SynopsisUncertainty, Modeling, and Decision Making in Geotechnics shows how uncertainty quantification and numerical modeling can complement each other to enhance decision-making in geotechnical practice, filling a critical gap in guiding practitioners to address uncertainties directly.
The book helps practitioners acquire a working knowledge of geotechnical risk and reliability methods and guides them to use these methods wisely in conjunction with data and numerical modeling. In particular, it provides guidance on the selection of realistic statistics and a cost-effective, accessible method to address different design objectives, and for different problem settings, and illustrates the value of this to decision-making using realistic examples.
Bringing together statistical characterization, reliability analysis, reliability-based design, probabilistic inverse analysis, and physical insights drawn from case studies, this reference guide from an international team of exper
Table of Contents
1. Uncertainty-informed decision making in Burland Triangle. 2. Soil and rock parametric uncertainties. 3. Uncertainty in constitutive models. 4. Uncertainty in data-driven site characterization. 5. Variability of predictions in geotechnics. 6. Geotechnical reliability analysis for practice. 7. Reliability analysis with reduced order model. 8. Stochastic finite element methods for slope stability analysis and risk assessment. 9. Reliability-based design with numerical models. 10. Probabilistic inverse analysis for geotechnics. 11. Use of geotechnical software for probabilistic analysis and design. 12. Reliability-based decision-making with FE models for real-life case studies. 13. Soil-structure interaction in spatially variable ground. 14. Reduction of uncertainty through piling data within the same site in the press-in piling method. 15. Slope reliability assessments for linear infrastructures. 16. Uncertainty, modelling, and decision making for ground improvement.
