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Finite element method --- Engineering --- Soil mechanics --- Computer programs. --- Data processing. --- 519.68 --- eindige elementen --- grondmechanica --- technische mechanica --- Computer programming --- 519.68 Computer programming --- Soil engineering --- Soils --- Soils (Engineering) --- Geotechnical engineering --- Mechanics --- Foundations --- Soil physics --- Data processing --- Computer programs --- Finite element method - Computer programs. --- Engineering - Data processing. --- Soil mechanics - Data processing.

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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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Proceedings of sessions at Geo-Denver 2000, held in Denver, Colorado, August 5-8, 2000. Sponsored by the Geo-Institute of ASCE. This Geotechnical Special Publication contains 26 technical papers focusing on the state of the art in slope stability analysis, design, and practice. All of the papers seek to use modern analysis and instrumentation tools to better define the factors both causing and mitigating stability problems in slopes. Topics include: case histories of both natural and constructed slopes; slope stabilization methods; rock slope analysis; shear strength evaluation; centrifuge testing; limit analysis; 3D analyses; finite element and finite difference methods; progressive failure analyses; and probabilistic methods using Bayesian and random field approaches.

Engineering geology --- Slopes (Soil mechanics) --- Soil stabilization --- Slope stability --- Finite element method --- Failure analysis --- Three-dimensional analysis --- Bayesian analysis --- Finite difference method --- Case studies --- Shear strength --- Mathematical models --- Slope stability --- Finite element method --- Failure analysis --- Three-dimensional analysis --- Bayesian analysis --- Finite difference method --- Case studies --- Shear strength