000 03256cam a22003254a 4500
001 28753
008 101021s2003 enka b 001 0 eng
010 _a2003053830
020 _a0471498335
035 _a(OCoLC)
040 _aDLC
_beng
_cDLC
_dDLC
_dBAUN
_erda
042 _apcc
049 _aBAUN_MERKEZ
050 0 0 _aTA705
_b.B25 2003
082 0 0 _221
100 1 _aBaecher, Gregory B.
_982276
_eaut
245 1 0 _aReliability and statistics in geotechnical engineering /
_cGregory B. Baecher, John T. Christian.
264 1 _aChichester, West Sussex, England ;
_aHoboken, NJ :
_bJ. Wiley,
_c2003.
264 4 _c©2003
300 _axii, 605 pages :
_billustrations ;
_c25 cm.
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
504 _aIncludes bibliographical references (pages [569]-591) and index.
505 0 0 _tPreface.
_tIntroduction
_tUncertainty and Risk in Geotechnical Engineering.
_tUncerttainty.
_tProbability.
_tInference.
_tRisk, decisions and judgement.
_tSite characterization.
_tClassification and mapping.
_tSoil variability.
_tSpatial variability within homogeneous deposits.
_tRandom field theory.
_tSpatial sampling.
_tSearch theory.
_tReliability analysis and error propagation.
_tFirst order second moment (FOSM) methods.
_tPoint estimate methods.
_tThe Hasofer-Lind approach (FORM).
_tMonte Carlo simulation methods.
_tLoad and resistance factor design.
_tStochastic finite elements.
_tEvent tree analysis.
_tExpert opinion.
_tSystem reliability assessment.
_tAppendix A: A primer on probability theory.
_tReferences.
520 _aProbabilistic 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: <div> � 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. </div> 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.
650 0 _aGeotechnical engineering
_xStatistical methods.
700 1 _aChristian, John T.
_984256
_eaut
942 _2lcc
_cKT
999 _c25092
_d25092