LEADER 04683nam 2200649 a 450 001 9910822629503321 005 20240313143331.0 010 $a1-118-58002-8 010 $a1-118-58010-9 010 $a1-118-58006-0 035 $a(CKB)2670000000336673 035 $a(EBL)1124027 035 $a(OCoLC)828299034 035 $a(SSID)ssj0000991010 035 $a(PQKBManifestationID)11546377 035 $a(PQKBTitleCode)TC0000991010 035 $a(PQKBWorkID)10987957 035 $a(PQKB)11553172 035 $a(OCoLC)834544129 035 $a(MiAaPQ)EBC1124027 035 $a(Au-PeEL)EBL1124027 035 $a(CaPaEBR)ebr10658421 035 $a(CaONFJC)MIL527794 035 $a(EXLCZ)992670000000336673 100 $a20120919d2013 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aApplied reliability /$fAmmar Grous 205 $a1st ed. 210 $aLondon $cISTE ;$aHoboken, N.J. $cWiley$d2013 215 $a1 online resource (364 p.) 225 0 $aFracture mechanics ;$v2 225 0 $aMechanical engineering and solid mechanics series 300 $aDescription based upon print version of record. 311 $a1-84821-441-3 320 $aIncludes bibliographical references and index. 327 $aTitle Page; Contents; Preface; Glossary; Chapter 1. Fracture Mechanisms by Fatigue; 1.1. Introduction; 1.2. Principal physical mechanisms of cracking by fatigue; 1.2.1. Fracture mechanics; 1.2.2. Criteria of fracture (plasticity) in mechanics; 1.3. Modes of fracture; 1.3.1. Directed works; 1.4. Fatigue of metals: analytical expressions used in reliability; 1.4.1. Wo?hler's law; 1.4.2. Basquin's law (1910); 1.4.3. Stromayer's law (1914); 1.4.4. Palmgren's law; 1.4.5. Corson's law (1949); 1.4.6. Bastenaire's law; 1.4.7. Weibull's law; 1.4.8. Henry's law; 1.4.9. Corten and Dolen's law 327 $a1.4.10. Manson-Coffin's law 1.5. Reliability models commonly used in fracture mechanics by fatigue; 1.5.1. Coffin-Manson's model for the analysis of crack propagation; 1.5.2. Neuber's relation (1958); 1.5.3. Arrhenius' model; 1.5.4. Miner's law (1954); 1.6. Main common laws retained by fracture mechanics; 1.6.1. Fost and Dugdale's law; 1.6.2. McEvily's law (1979); 1.6.3. Paris's law; 1.6.4. G.R. Sih's law; 1.7. Stress intensity factors in fracture mechanics; 1.7.1. Maddox's model; 1.7.2. Gross and Srawley's model; 1.7.3. Lawrence's model; 1.7.4. Martin and Bousseau's model 327 $a1.7.5. Gurney's model 1.7.6. Engesvik's model; 1.7.7. Yamada and Albrecht's model; 1.7.8. Tomkins and Scott's model; 1.7.9. Harrison's model; 1.8. Intrinsic parameters of the material (C and m); 1.9. Fracture mechanics elements used in reliability; 1.10. Crack rate (life expectancy) and s.i.f. (K?); 1.10.1. Simplified version of Taylor's law for machining; 1.11. Elements of stress (S) and resistance theory (R); 1.11.1. Case study, part 2 - suspension bridge (Cirta); 1.11.2. Case study: failure surface of geotechnical materials; 1.12. Conclusion; 1.13. Bibliography 327 $a2.4.1. Development and calculations 2.5. Confidence interval for estimating a normal mean: unknown variance; 2.6. Conclusion; 2.7. Bibliography; Chapter 3. Analysis of the Reliability of Materials and Structures by the Bayesian Approach; 3.1. Introduction to the Bayesian method used to evaluate reliability; 3.2. Posterior distribution and conjugate models; 3.2.1. Independent events; 3.2.2. Counting diagram; 3.3. Conditional probability or Bayes' law; 3.4. Anterior and posterior distributions; 3.5. Reliability analysis by moments methods, FORM/SORM 327 $a3.6. Control margins from the results of fracture mechanics 330 $aThis second book of a 3-volume set on Fracture Mechanics completes the first volume through the analysis of adjustment tests suited to correctly validating the justified use of the laws conforming to the behavior of the materials and structures under study.This volume focuses on the vast range of statistical distributions encountered in reliability. Its aim is to run statistical measurements, to present a report on enhanced measures in mechanical reliability and to evaluate the reliability of repairable or unrepairable systems. To achieve this, the author presents a theoretical and 410 0$aISTE 606 $aReliability (Engineering) 615 0$aReliability (Engineering) 676 $a620.0045 700 $aGrous$b Ammar$0889240 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910822629503321 996 $aApplied reliability$94017439 997 $aUNINA