Overview
- Brings together some of the most prominent scholars in the field of risk and reliability analysis
- Includes state-of-the-art methods for risk and reliability analysis and applications to complex problems
- Provides broad and comprehensive coverage of the latest advances in risk-based engineering
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Series in Reliability Engineering (RELIABILITY)
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Table of contents (24 chapters)
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Front Matter
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Introduction
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Front Matter
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Reliability Analysis: Methods and Applications
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Front Matter
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Stochastic Dynamics: Methods and Applications
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Front Matter
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Sensitivity Analysis and Optimization
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Front Matter
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Statistical Analysis and Probabilistic Models
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Front Matter
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Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Risk and Reliability Analysis: Theory and Applications
Book Subtitle: In Honor of Prof. Armen Der Kiureghian
Editors: Paolo Gardoni
Series Title: Springer Series in Reliability Engineering
DOI: https://doi.org/10.1007/978-3-319-52425-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-52424-5Published: 04 March 2017
Softcover ISBN: 978-3-319-84903-4Published: 18 July 2018
eBook ISBN: 978-3-319-52425-2Published: 24 February 2017
Series ISSN: 1614-7839
Series E-ISSN: 2196-999X
Edition Number: 1
Number of Pages: XIII, 559
Number of Illustrations: 241 b/w illustrations
Topics: Quality Control, Reliability, Safety and Risk, Probability Theory and Stochastic Processes, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences