000779803 000__ 05590cam\a2200541Ii\4500 000779803 001__ 779803 000779803 005__ 20230306143040.0 000779803 006__ m\\\\\o\\d\\\\\\\\ 000779803 007__ cr\nn\nnnunnun 000779803 008__ 170228s2017\\\\sz\\\\\\o\\\\\010\0\eng\d 000779803 019__ $$a974033966$$a974361067$$a974486511$$a974511885$$a974564953$$a974584268$$a974690625$$a974765179$$a981774865 000779803 020__ $$a9783319524252$$q(electronic book) 000779803 020__ $$a3319524259$$q(electronic book) 000779803 020__ $$z9783319524245 000779803 020__ $$z3319524240 000779803 0247_ $$a10.1007/978-3-319-52425-2$$2doi 000779803 035__ $$aSP(OCoLC)ocn973932833 000779803 035__ $$aSP(OCoLC)973932833$$z(OCoLC)974033966$$z(OCoLC)974361067$$z(OCoLC)974486511$$z(OCoLC)974511885$$z(OCoLC)974564953$$z(OCoLC)974584268$$z(OCoLC)974690625$$z(OCoLC)974765179$$z(OCoLC)981774865 000779803 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dGW5XE$$dN$T$$dYDX$$dEBLCP$$dIDEBK$$dNJR$$dUAB$$dOCLCF$$dCOO$$dIOG$$dAZU$$dUWO$$dUPM 000779803 049__ $$aISEA 000779803 050_4 $$aTA169 000779803 08204 $$a620/.00452$$223 000779803 24500 $$aRisk and reliability analysis :$$btheory and applications : in honor of Prof. Armen Der Kiureghian /$$cPaolo Gardoni, editor. 000779803 264_1 $$aCham, Switzerland :$$bSpringer,$$c2017. 000779803 300__ $$a1 online resource. 000779803 336__ $$atext$$btxt$$2rdacontent 000779803 337__ $$acomputer$$bc$$2rdamedia 000779803 338__ $$aonline resource$$bcr$$2rdacarrier 000779803 347__ $$atext file$$bPDF$$2rda 000779803 4901_ $$aSpringer series in reliability engineering,$$x1614-7839 000779803 5050_ $$aPreface; Acknowledgements; Contents; Introduction; 1 Risk and Reliability Analysis; Abstract; 1 Introduction; 2 Armen Der Kiureghian and His Role in Modern Risk and Reliability Analysis; 2.1 Biography; 2.2 Role in Modern Risk and Reliability Analysis; 2.3 Overall Goal and Contributions of the Book; 3 Structure and Overview of the Volume; References; Reliability Analysis: Methods and Applications; 2 Structural System Reliability, Reloaded; Abstract; 1 Introduction; 2 Methods Developed to Address Essential Needs in SSR; 2.1 Bounds on System Reliability by Linear Programming (LP Bounds) 000779803 5058_ $$a2.2 Matrix-Based System Reliability (MSR) Method2.3 Sequential Compounding Method (SCM); 2.4 Cross-Entropy-Based Adaptive Importance Sampling (CE-AIS); 3 Methods Developed to Address Needs in SSR Analysis of Complex Systems; 3.1 Selective Recursive Decomposition Algorithm (S-RDA); 3.2 Branch-and-Bound Method Employing System Reliability Bounds (B3 Method); 3.3 Genetic-Algorithm-Based Selective Search for Dominate Failure Modes; 4 Summary and Conclusions; Acknowledgements; References 000779803 5058_ $$a3 Global Buckling Reliability Analysis of Slender Network Arch Bridges: An Application of Monte Carlo-Based Estimation by Optimized FittingAbstract; 1 Introduction; 2 Network Arch Bridge; 2.1 Model Uncertainty; 2.2 Traffic Load; 2.3 Buckling Analysis of Network Arch Bridges; 3 Efficient System Reliability Estimation; 3.1 Monte Carlo-Based Reliability Estimation by Optimized Fitting; 4 The Brandanger Network Arch Bridge-A Case Study; 4.1 Structural Response by Finite Element Analysis; 4.2 Global System Buckling Reliability Estimation; 5 Conclusions; References 000779803 5058_ $$a4 Review of Quantitative Reliability Methods for Onshore Oil and Gas PipelinesAbstract; 1 Introduction; 2 Problem Definition; 2.1 Limit States; 2.2 Hazards; 3 Excavation Damage; 3.1 Uncertainties; 3.2 Models; 3.2.1 Puncture; 3.2.2 Dent-Gouge; 3.2.3 Gouge; 3.2.4 Rupture; 3.3 Methods to Estimate the Probability of Failure; 4 Corrosion; 4.1 Uncertainties; 4.2 Models; 4.2.1 Occurrence Models; 4.2.2 Growth Models; 4.2.3 Limit States; 4.3 Methods to Estimate the Probability of Failure; 5 Cracks; 6 Natural Hazards; 7 Human Error; 8 Conclusion; References 000779803 5058_ $$aStochastic Dynamics: Methods and Applications5 An Intuitive Basis of the Probability Density Evolution Method (PDEM) for Stochastic Dynamics; Abstract; 1 Introduction; 2 Practical Significance of PDEM; 2.1 Brief Theoretical Basis; 2.2 Reliability of Complex Systems; 3 On Application to Reliability of Complex Systems; 4 Numerical Examples; 5 Implications to Reliability-Based Design; 6 Conclusions; Acknowledgements; References; 6 The Tail Equivalent Linearization Method for Nonlinear Stochastic Processes, Genesis and Developments; Abstract; 1 Introduction; 2 The Original Time Domain TELM 000779803 506__ $$aAccess limited to authorized users. 000779803 520__ $$aThis book presents a unique collection of contributions from some of the foremost scholars in the field of risk and reliability analysis. Combining the most advanced analysis techniques with practical applications, it is one of the most comprehensive and up-to-date books available on risk-based engineering. All the fundamental concepts needed to conduct risk and reliability assessments are covered in detail, providing readers with a sound understanding of the field and making the book a powerful tool for students and researchers alike. This book was prepared in honor of Professor Armen Der Kiureghian, one of the fathers of modern risk and reliability analysis. 000779803 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 6, 2017). 000779803 650_0 $$aReliability (Engineering) 000779803 650_0 $$aRisk assessment. 000779803 7001_ $$aGardoni, Paolo,$$eeditor. 000779803 7001_ $$aDer Kiureghian, Armen,$$ehonouree. 000779803 77608 $$iPrint version:$$z3319524240$$z9783319524245$$w(OCoLC)966567722 000779803 830_0 $$aSpringer series in reliability engineering. 000779803 852__ $$bebk 000779803 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-52425-2$$zOnline Access$$91397441.1 000779803 909CO $$ooai:library.usi.edu:779803$$pGLOBAL_SET 000779803 980__ $$aEBOOK 000779803 980__ $$aBIB 000779803 982__ $$aEbook 000779803 983__ $$aOnline 000779803 994__ $$a92$$bISE