Risk and reliability analysis is an area of growing importance in geotechnical engineering, where many variables have to be considered. Statistics, reliability modeling and engineering judgement are employed together to develop risk and decision analyses for civil engineering systems. The resulting engineering models are used to make probabilistic predictions, which are applied to geotechnical problems.
Reliability & Statistics in Geotechnical Engineering comprehensively covers the subject of risk and reliability in both practical and research terms
* Includes extensive use of case studies
* Presents topics not covered elsewhere--spatial variability and stochastic properties of geological materials
* No comparable texts available
Practicing engineers will find this an essential resource as will graduates in geotechnical engineering programmes.
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Gregory B. Baecher is the author of Reliability and Statistics in Geotechnical Engineering, published by Wiley.
John T. Christian is the author of Reliability and Statistics in Geotechnical Engineering, published by Wiley.
Probabilistic reasoning, statistical methods, and measures of engineering judgment are combined to develop a quantified approach for analyzing and managing risks in civil engineering systems and the applied earth sciences. The resulting risk analysis approach described in this book reflects an emerging trend in geotechnical engineering, natural hazards mitigation, infrastructure protection, and other civil engineering fields to directly and quantitatively deal with uncertainty. Reliability and Statistics in Geotechnical Engineering offers a much needed state-of-the-art reference for risk analysis in geotechnical engineering and geology.
Integrating theory and practical applications, this book:
Emphasizing both theoretical underpinnings and practical applications, this comprehensive text constitutes an invaluable reference for practising geotechnical engineers, geologists, university students, and civil engineers in general practice.
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