Advanced Techniques for the Risk Analysis of Technical Systems

The course provides advanced tools for the risk/vulnerability analysis and engineering of complex technical systems and critical infrastructures. It covers application of modeling techniques and design management concepts for strengthening the performance and robustness of such systems, with reference to energy, communication and transportation systems.

Learning Objectives

By the end of the course students will be able to apply concepts of probability, reliability, and availability as well as computational tools to evaluate the technical risk and vulnerability of complex systems and critical infrastructures, with special reference to energy, communication and transportation systems.

  • Students will be able to identify and assess hazards and risks to the structure and operations of complex technical systems, e.g. energy systems, energy-carrier networks, communication and transportation systems.
  • Students will be able to model complex technical systems and critical infrastructures including their dependencies and interdependencies.
  • They will learn how to select and apply appropriate numerical techniques to quantify the technical risk and vulnerability in different contexts (Monte Carlo simulation, Markov chains, complex network theory).
  • At the end of the course, they will be able to propose design improvements and protection/mitigation strategies to reduce risks and vulnerabilities of these systems.

Literature

The class will be largely based on the books:
- Computational Methods For Reliability And Risk Analysis by Enrico Zio, World Scientific Publishing Company
- Vulnerable Systems by Wolfgang Kröger and Enrico Zio, Springer
- external pageThe Monte Carlo Simulation Method for System Reliability and Risk Analysis by Enrico Zio, Springer (available online to ETH members)
- external pageReliability Engineering Theory and Practice by Alessandro Birolini, Springer (available online to ETH members)
- additional recommendations for text books will be covered in the class

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