LEADER 01303nam1 2200397 450 001 990001115820203316 005 20030613110919.0 010 $a83-214-0513-4 035 $a000111582 035 $aUSA01000111582 035 $a(ALEPH)000111582USA01 035 $a000111582 100 $a20021216d1991----km-y0enga50------ba 101 0 $aita$apol 102 $aPL 105 $ay|||z|||001yy 200 1 $aImpariamo il polacco$emanuale per principianti$fBarbara Bartnika...[et al.]$gversione italiana a cura di Maria Dia Salvo 210 $aVarsavia$cWiedza powszechna$d1991 215 $a2 v.$d21 cm 463 \1$1001990001155140203316$12001 $a<> Testi 463 \1$1001990001155160203316$12001 $a<> Commento linguistico, esercizi 606 1 $aLingua polacca$xManuali per studenti stranieri 676 $a491.85 702 1$aBARTNICKA,$bBarbara 702 1$aDI SALVO,$bMaria 801 0$aIT$bSalbc$cISBD 912 $a990001115820203316 951 $aII r D 44/$bL.M.$cII r D 959 $aBK 969 $aUMA 979 $aMARIA$b10$c20021216$lUSA01$h0925 979 $aALESSANDRA$b90$c20030613$lUSA01$h1058 979 $aALESSANDRA$b90$c20030613$lUSA01$h1109 979 $aPATRY$b90$c20040406$lUSA01$h1717 996 $aImpariamo il polacco$9981375 997 $aUNISA LEADER 05312nam 22006374a 450 001 9910143554203321 005 20170810185105.0 010 $a1-280-28789-6 010 $a9786610287895 010 $a0-470-30056-6 010 $a0-470-86909-7 010 $a0-470-86908-9 035 $a(CKB)1000000000356017 035 $a(EBL)242972 035 $a(OCoLC)71515118 035 $a(SSID)ssj0000134570 035 $a(PQKBManifestationID)11143466 035 $a(PQKBTitleCode)TC0000134570 035 $a(PQKBWorkID)10056452 035 $a(PQKB)10675567 035 $a(MiAaPQ)EBC242972 035 $a(EXLCZ)991000000000356017 100 $a20041118d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aDamage prognosis for aerospace, civil and mechanical systems$b[electronic resource] /$fedited by Daniel J. Inman ... [et al.] 210 $aChichester, England ;$aHoboken, NJ $cWiley$dc2005 215 $a1 online resource (471 p.) 300 $aDescription based upon print version of record. 311 $a0-470-86907-0 320 $aIncludes bibliographical references and index. 327 $aDamage Prognosis; Contents; List of Contributors; Preface; 1 An Introduction to Damage Prognosis; 1.1 Introduction; 1.2 The Damage-Prognosis Solution Process; 1.3 Motivation for Damage-Prognosis Solutions; 1.4 Disciplines Needed to Address Damage Prognosis; 1.5 Summary; References; Part I Damage Models; 2 An Overview of Modeling Damage Evolution in Materials; 2.1 Introduction; 2.2 Overview of General Modeling Issues; 2.3 Characterization of Material Behavior: Damage Initiation and Evolution; 2.4 Material Modeling: General Considerations and Preliminary Concepts 327 $a2.5 Classical Damage-Modeling Approaches2.6 Phenomenological Constitutive Modeling; 2.7 Micromechanical Modeling of Materials; 2.8 Summary; References; 3 In Situ Observation of Damage Evolution and Fracture Toughness Measurement by SEM; 3.1 Overview of Fracture Mechanics Related to Damage Prognosis; 3.2 In Situ Observation of Damage Evolution and Fracture Toughness Measurement; 3.3 Concluding remarks; Acknowledgements; References; 4 Predictive Modeling of Crack Propagation Using the Boundary Element Method; 4.1 Introduction; 4.2 Damage and Fracture Mechanics Theories 327 $a4.3 Boundary Element Fracture Mechanics4.4 Predictive Modeling of Crack Propagation; 4.5 Numerical Results; 4.6 Conclusions; Acknowledgments; References; 5 On Friction Induced Nonideal Vibrations: A Source of Fatigue; 5.1 Preliminary Remarks; 5.2 Nonlinear Dynamics of Ideal and Nonideal Stick-Slip Vibrations; 5.3 Switching Control for Ideal and Nonideal Stick-Slip Vibrations; 5.4 Some Concluding Remarks; Acknowledgments; References; 6 Incorporating and Updating of Damping in Finite Element Modeling; 6.1 Introduction; 6.2 Theoretical Fundamentals; 6.3 Application; 6.4 Conclusion; References 327 $aPart II Monitoring Algorithms7 Model-Based Inverse Problems in Structural Dynamics; 7.1 Introduction; 7.2 Theory of Discrete Vibrating Systems; 7.3 Response Sensitivity; 7.4 Finite-Element Model Updating; 7.5 Review of Classical Optimization Techniques; 7.6 Heuristic Optimization Methods; 7.7 Multicriteria Optimization; 7.8 General Optimization Scheme for Inverse Problems in Engineering; 7.9 Applications; Acknowledgments; References; 8 Structural Health Monitoring Algorithms for Smart Structures; 8.1 Initial Considerations about SHM 327 $a8.2 Optimal Placement of Sensors and Actuators for Smart Structures8.3 Proposed Methodology; 8.4 Artificial Neural Network as a SHM Algorithm; 8.5 Genetic Algorithms as a SHM Algorithm; 8.6 Conclusion; References; 9 Uncertainty Quantification and the Verification and Validation of Computational Models; 9.1 Introduction; 9.2 Verification Activities; 9.3 Validation Activities; 9.4 Uncertainty Quantification; 9.5 Assessment of Prediction Accuracy; 9.6 Conclusion; References; 10 Reliability Methods; 10.1 Introduction; 10.2 Reliability Assessment; 10.3 Approximation of the Probability of Failure 327 $a10.4 Decision Making 330 $aDamage prognosis is a natural extension of damage detection and structural health monitoring and is forming a growing part of many businesses. This comprehensive volume presents a series of fundamental topics that define the new area of damage prognosis. Bringing together essential information in each of the basic technologies necessary to perform damage prognosis, it also reflects the highly interdisciplinary nature of the industry through the extensive referencing of each of the component disciplines. Taken from lectures given at the Pan American Advanced Studies Institute in Damage Pro 606 $aStructural analysis (Engineering) 606 $aMaterials$xDeterioration 608 $aElectronic books. 615 0$aStructural analysis (Engineering) 615 0$aMaterials$xDeterioration. 676 $a624.1/71 676 $a624.171 701 $aInman$b D. J$0865565 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910143554203321 996 $aDamage prognosis for aerospace, civil and mechanical systems$92238504 997 $aUNINA