Gregory Baecher, John Christian ...
618 pages - Publisher: Wiley; 1st edition (November, 2003) ...
Language: English - ISBN-10: 0471498335 - ISBN-13: 978-0471498339 ...
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. 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: Discusses the nature and philosophy of
uncertainty in geological and geotechnical engineering. Addresses
fundamentals and limits of probabilistic and statistical methods in the
geological and geotechnical context. Develops statistical approaches to
site characaterization decisions and for analyzing field and laboratory
data. Explains traditional and emerging risk analysis methodologies and
provides guidance for their use. Presents many applications of
statistics, reliability, and risk techniques to practical problems. 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.