Overview
- Describes a comprehensive modeling approach for safety analysis of critical infrastructures
- Reports on a set of methods to determine safety and resilience indicators
- Describes all mathematical models, problems and solutions in depth
Part of the book series: Lecture Notes in Intelligent Transportation and Infrastructure (LNITI)
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Table of contents (6 chapters)
Keywords
About this book
This book deals with critical infrastructure safety analysis based on reliability modelling of multistate ageing system. It shows how changes of the operation process as well as climate-weather changes in the operating area of the critical infrastructure do influence the safety parameters of its assets. Building upon previous authors’ research, the book formulates an integrated modeling approach where the multistate critical infrastructure safety model is combined with semi-Markov models for its operation process and for the climate-weather change process. This approach is shown to be successful in determining basic critical infrastructure safety, risk and resilience indicators, regardless of the number of assets and the number of their safety states. Besides the theory, the book reports on a successful application to the safety analysis of a real critical infrastructure, such as a port oil terminal. All in all, this book proposes a comprehensive and timely review of cutting-edge mathematical methods for safety identification, prediction and evaluation of critical infrastructures. It demonstrates that these methods can be applied in practice for analyzing safety of critical infrastructure under time-varying operation and climate-weather change processes.
Authors and Affiliations
Bibliographic Information
Book Title: Safety Analysis of Critical Infrastructure
Book Subtitle: Impact of Operation Processes and Climate Change
Authors: Joanna Soszyńska-Budny
Series Title: Lecture Notes in Intelligent Transportation and Infrastructure
DOI: https://doi.org/10.1007/978-3-030-65339-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-65338-5Published: 06 March 2021
Softcover ISBN: 978-3-030-65341-5Published: 07 March 2022
eBook ISBN: 978-3-030-65339-2Published: 05 March 2021
Series ISSN: 2523-3440
Series E-ISSN: 2523-3459
Edition Number: 1
Number of Pages: XVIII, 317
Number of Illustrations: 34 b/w illustrations, 32 illustrations in colour
Topics: Complexity, Industrial and Production Engineering, Optimization