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Soils and rocks are among the most variable of all engineering materials, and as such are highly amenable to a probabilistic treatment. The application of statistical and probabilistic concepts to geotechnical analysis is a rapidly growing area of interest for both academics and practitioners. The book is therefore aimed at students, researchers, and practitioners of geotechnical engineering who wish to keep abreast of developments in this evolving field of study. The course content and will assume no more that an introductory understanding of probability and statistics on the part of the course participants. The main objective is to present a state-of-the-art training on probabilistic techniques applied to geotechnical engineering in relation to both theory and practice. Including: (a) discussion of potential benefits of probabilistic approaches as opposed to the classical Factor of Safety  methods, to review sources of uncertainty in geotechnical analysis and to introduce methods of LRFD and reliability concepts in Eurocode 7, (b) review of relevant statistical theories needed to develop the methodologies and interpret the results of probabilistic analysis, (c) examples of established probabilistic methods of analysis in geotechnical engineering, such as the First Order Second Moment (FOSM) method, the Point Estimate Method (PEM), the First and Second Order Reliability Methods (FORM SORM) and Random Set (RS) theory, (d) description of numerical methods of probabilistic analysis based on the finite element method, such as the Stochastic Finite Element Method (SFEM) and recent developments on the Random Finite Element Method (RFEM), (e) practical examples and case histories of probabilistic applications in geotechnical engineering.

Operational research. Game theory --- Mining industry --- Civil engineering. Building industry --- stochastische analyse --- mijnbouw --- ingenieurswetenschappen --- kansrekening

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Soils and rocks are among the most variable of all engineering materials, and as such are highly amenable to a probabilistic treatment. The application of statistical and probabilistic concepts to geotechnical analysis is a rapidly growing area of interest for both academics and practitioners. The book is therefore aimed at students, researchers, and practitioners of geotechnical engineering who wish to keep abreast of developments in this evolving field of study. The course content and will assume no more that an introductory understanding of probability and statistics on the part of the course participants. The main objective is to present a state-of-the-art training on probabilistic techniques applied to geotechnical engineering in relation to both theory and practice. Including: (a) discussion of potential benefits of probabilistic approaches as opposed to the classical “Factor of Safety” methods, to review sources of uncertainty in geotechnical analysis and to introduce methods of LRFD and reliability concepts in Eurocode 7, (b) review of relevant statistical theories needed to develop the methodologies and interpret the results of probabilistic analysis, (c) examples of established probabilistic methods of analysis in geotechnical engineering, such as the First Order Second Moment (FOSM) method, the Point Estimate Method (PEM), the First and Second Order Reliability Methods (FORM SORM) and Random Set (RS) theory, (d) description of numerical methods of probabilistic analysis based on the finite element method, such as the Stochastic Finite Element Method (SFEM) and recent developments on the Random Finite Element Method (RFEM), (e) practical examples and case histories of probabilistic applications in geotechnical engineering.

Soil mechanics --- Probabilities. --- Statistical methods. --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Soil engineering --- Soils --- Soils (Engineering) --- Geotechnical engineering --- Mechanics --- Foundations --- Soil physics --- Civil engineering. --- Distribution (Probability theory. --- Geotechnical Engineering & Applied Earth Sciences. --- Civil Engineering. --- Probability Theory and Stochastic Processes. --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Engineering --- Public works --- Geotechnical engineering. --- Engineering, Geotechnical --- Geotechnics --- Geotechnology --- Engineering geology

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Engineering geology --- Slopes (Soil mechanics) --- Soil stabilization --- Mathematical models

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Selected papers from Geo-Risk 2017, held in Denver, Colorado, June 4–7, 2017. Sponsored by the Geo-Institute of ASCE. This Geotechnical Special Publication contains 8 peer-reviewed papers on the use of risk assessment and probabilistic methodologies from the conference keynote speakers. Topics include: Bayesian thinking in geotechnical engineering; future directions in reliability-based design; risk management; Eurocode 7 and robustness in engineering design; dam safety and risk assessment; challenges of liquefaction modeling; and problems due to instability and deformation. GSP 282 will provide practitioners and academics with a valuable reference of risk assessment methodologies in geotechnical practice.

Environmental risk assessment --- Probabilities --- Geohazards --- Risk management --- Plastic design --- Professional societies --- Publications --- Probability --- Bayesian analysis --- Geotechnical engineering

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Selected papers from Geo-Risk 2017, held in Denver, Colorado, June 4–7, 2017. Sponsored by the Geo-Institute of ASCE. This Geotechnical Special Publication contains 49 peer-reviewed papers on spatial variability, probabilistic site characterization, and geohazards. Topics include: geostatistics and probabilistic methods to model spatial variability of ground; geotechnical site characterization; and risk assessment of geohazards. GSP 284 will provide practitioners and academics with a valuable reference on geotechnical site characterization and geohazard risk assessment.

Hazardous geographic environments. --- Geotechnical engineering --- Geohazards --- Spatial variability --- Probability --- Site investigation --- Risk management --- Professional societies --- Publications --- Statistical methods