Reliability & Statistics in Geotechnical EngineeringAutor GB Baecher
en Limba Engleză Hardback – 19 sep 2003
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.
Dimensiuni: 170 x 244 x 34 mm
Greutate: 1.22 kg
Locul publicării:Chichester, United Kingdom
Public țintăGraduates and postgraduate students in civil engineering, practicing geotechnical engineers. Engineering geologists and general civil engineers
Preface. Part I. 1 Introduction - uncertainty and risk in geotechnical engineering. 2 Uncertainty. 3 Probability. 4 Inference. 5 Risk, decisions and judgment. Part II. 6 Site characterization. 7 Classification and mapping. 8 Soil variability. 9 Spatial variability within homogeneous deposits. 10 Random field theory. 11 Spatial sampling. 12 Search theory. Part III. 13 Reliability analysis and error propagation. 14 First order second moment (FOSM) methods. 15 Point estimate methods. 16 The Hasofer-Lind approach (FORM). 17 Monte Carlo simulation methods. 18 Load and resistance factor design. 19 Stochastic finite elements. Part IV. 20 Event tree analysis. 21 Expert opinion. 22 System reliability assessment. Appendix A: A primer on probability theory. References. Index.
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.
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.