Resilience Engineering
Models and Analysis
Seiten
2016
Cambridge University Press (Verlag)
978-0-521-19349-8 (ISBN)
Cambridge University Press (Verlag)
978-0-521-19349-8 (ISBN)
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This book presents a step-by-step approach to formulating the sustainable resilience of civil infrastructure and energy systems. Intended for practicing engineers, analysts, and researchers with a background in probability, it includes examples to illustrate key computational algorithms, end-of-chapter exercises and references, and an entire chapter devoted to case studies.
With 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.
With 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.
Nii Attoh-Okine is a Professor in the Civil and Environmental Engineering Department at the University of Delaware. He is also on the editorial board of the International Journal of Civil Engineering and Building Materials. In addition he has also served as chair and co-chair of major conferences on uncertainty and risk analysis.
1. Introduction; 2. Infrastructure systems; 3. Disruptions; 4. Graph and networks; 5. Big data and resilience engineering; 6. Graphical models; 7. Tensors applications; 8. Resilience index; 9. Geologic carbon dioxide sequestration and storage; 10. Epilogue.
| Erscheint lt. Verlag | 4.4.2016 |
|---|---|
| Zusatzinfo | 22 Tables, black and white; 21 Line drawings, unspecified |
| Verlagsort | Cambridge |
| Sprache | englisch |
| Maße | 180 x 259 mm |
| Gewicht | 470 g |
| Themenwelt | Mathematik / Informatik ► Mathematik |
| Technik ► Maschinenbau | |
| ISBN-10 | 0-521-19349-4 / 0521193494 |
| ISBN-13 | 978-0-521-19349-8 / 9780521193498 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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