Resilience Engineering: Models and AnalysisWith an eye towards environmental sustainability, this book presents a step-by-step approach to formulating the resilience of civil infrastructure and energy systems. It provides a concise explanation of resilience terminology, a general overview of theoretical models and analyses, and a clear guide to practical applications, covering critical topics such as interdependent infrastructures and geologic carbon sequestration. Additionally, it contains a general introduction to selected data science topics, so readers can acquire the tools to formulate and analyze resilience engineering problems in depth. Informed by the author's extensive practical experience and thorough academic background, this book includes examples to illustrate key computational algorithms, end-of-chapter exercises and references, and an entire chapter devoted to case studies. Intended for practitioners of resilience engineering with a background in probability, this book offers a balanced blend of background, theory, and practical examples to address one of the most important emerging topics of modern times. |
Other editions - View all
Resilience Engineering: Concepts and Precepts Erik Hollnagel,David D. Woods,Nancy Leveson Limited preview - 2006 |
Common terms and phrases
ability adaptive adjacency matrix algorithm analysis analyzing applicable approach Archimedean copulas Attoh-Okine basic Bayesian network belief function big data bivariate carbon cascading failure cluster combination components computation concept connected critical infrastructure decision defined dependence disruption distribution dynamic Ecological economic edges energy systems environmental estimation example extreme events extreme value Extreme Value Theory factor graph Figure framework geologic CCS graphical models Hadoop hazards IEEE impact influence diagrams infrastructure network infrastructure systems interactions interdependent networks join tree Journal Kendall's tau Laplacian matrix MapReduce mathematical matrix measure methods multivariate natural disasters nested Archimedean nodes nonnegative operations pair copula parameters performance potential presented probability recovery represent resilience engineering resilience index resilient systems risk robustness Shenoy Spearman's rho statistical storage structure sustainability science Sustainable development system of systems Technical Report tensor tion transportation undirected graph V. P. Singh variables vector vulnerability