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Risk and reliability analysis = theo...

Gardoni, Paolo.

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Risk and reliability analysis = theory and applications : in honor of Prof. Armen Der Kiureghian /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Risk and reliability analysis/ edited by Paolo Gardoni.
其他題名:	theory and applications : in honor of Prof. Armen Der Kiureghian /
其他作者:	Gardoni, Paolo.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xiii, 559 p. :ill., digital ;24 cm.
內容註:	Risk and Reliability Analysis -- Structural System Reliability, Reloaded -- Global Buckling Reliability Analysis of Slender Network Arch Bridges: An Application of Monte Carlo-based Estimation by Optimized Fitting -- Review of Quantitative Reliability Methods for Onshore Oil and Gas Pipelines -- An Intuitive Basis of the Probability Density Evolution Method (PDEM) for Stochastic Dynamics -- The Tail Equivalent Linearization Method for Nonlinear Stochastic Processes, Genesis and Developments -- Estimate of Small First Passage Probabilities of Nonlinear Random Vibration Systems -- Generation of Non-synchronous Earthquake Signals -- Seismic Response Analysis with Spatially Varying Stochastic Excitation -- Application of CQC Method to Seismic Response Control with Viscoelastic Dampers.
Contained By:	Springer eBooks
標題:	Reliability (Engineering) -
電子資源:	http://dx.doi.org/10.1007/978-3-319-52425-2
ISBN:	9783319524252

Risk and reliability analysis = theory and applications : in honor of Prof. Armen Der Kiureghian /
Risk and reliability analysistheory and applications : in honor of Prof. Armen Der Kiureghian /[electronic resource] :edited by Paolo Gardoni. - Cham :Springer International Publishing :2017. - xiii, 559 p. :ill., digital ;24 cm. - Springer series in reliability engineering,1614-7839. - Springer series in reliability engineering..

Risk and Reliability Analysis -- Structural System Reliability, Reloaded -- Global Buckling Reliability Analysis of Slender Network Arch Bridges: An Application of Monte Carlo-based Estimation by Optimized Fitting -- Review of Quantitative Reliability Methods for Onshore Oil and Gas Pipelines -- An Intuitive Basis of the Probability Density Evolution Method (PDEM) for Stochastic Dynamics -- The Tail Equivalent Linearization Method for Nonlinear Stochastic Processes, Genesis and Developments -- Estimate of Small First Passage Probabilities of Nonlinear Random Vibration Systems -- Generation of Non-synchronous Earthquake Signals -- Seismic Response Analysis with Spatially Varying Stochastic Excitation -- Application of CQC Method to Seismic Response Control with Viscoelastic Dampers.

This 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.

ISBN: 9783319524252

Standard No.: 10.1007/978-3-319-52425-2doiSubjects--Topical Terms:

647853
Reliability (Engineering)

LC Class. No.: TA169

Dewey Class. No.: 620.00452

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520 $a This 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.
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