151-0280-00L Advanced Techniques for the Risk Analysis of Technical Systems
| Semester | Spring Semester 2023 |
| Lecturers | G. Sansavini, B. Gjorgiev |
| Periodicity | yearly recurring course |
| Language of instruction | English |
Courses
| Number | Title | Hours | Lecturers | ||||
|---|---|---|---|---|---|---|---|
| 151-0280-00 V | Advanced Techniques for the Risk Analysis of Technical Systems | 2 hrs |
| G. Sansavini, B. Gjorgiev | |||
| 151-0280-00 U | Advanced Techniques for the Risk Analysis of Technical Systems | 1 hrs |
| G. Sansavini, B. Gjorgiev |
Catalogue data
| Abstract | 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 objective | 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). Students will be able to evaluate which method for quantification and propagation of the uncertainty of the vulnerability is more appropriate for various complex technical systems. 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. |
| Content | Modern technical systems and critical infrastructures are complex, highly integrated and interdependent. Examples of these are highly integrated energy supply, energy supply with high penetrations of renewable energy sources, communication, transport, and other physically networked critical infrastructures that provide vital social services. As a result, standard risk-assessment tools are insufficient in evaluating the levels of vulnerability, reliability, and risk. This course offers suitable analytical models and computational methods to tackle this issue with scientific accuracy. Students will develop competencies which are typically requested for the formation of experts in reliability design, safety and protection of complex technical systems and critical infrastructures. Specific topics include: - Introduction to complex technical systems and critical infrastructures - Basics of the Markov approach to system modeling for reliability and availability analysis - Monte Carlo simulation for reliability and availability analysis - Markov Chain Monte Carlo for applications to reliability and availability analysis - Dependent, common cause and cascading failures - Complex network theory for the vulnerability analysis of complex technical systems and critical infrastructures - Basic concepts of uncertainty and sensitivity analysis in support to the analysis of the reliability and risk of complex systems under incomplete knowledge of their behavior Practical exercitations and computational problems will be carried out and solved both during classroom tutorials and as homework. |
| Lecture notes | Slides and other materials will be available online |
| Literature | The class will be largely based on the books: - "Computational Methods For Reliability And Risk Analysis" by E. Zio, World Scientific Publishing Company - "Vulnerable Systems" by W. Kröger and E. Zio, Springer - additional recommendations for text books will be covered in the class |
| Prerequisites / Notice | Fundamentals of Probability |
Performance assessment
| Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
| ECTS credits | 4 credits |
| Examiners | G. Sansavini, B. Gjorgiev |
| Type | end-of-semester examination |
| Language of examination | English |
| Repetition | A repetition date will be offered in the first two weeks of the semester immediately consecutive. |
| Mode of examination | oral 30 minutes |
Learning materials
| No public learning materials available. | |
| Only public learning materials are listed. |
Groups
| No information on groups available. |
Restrictions
| There are no additional restrictions for the registration. |
Offered in
| Programme | Section | Type | |
|---|---|---|---|
| Mechanical Engineering Master | Energy, Flows and Processes | W |  |
| Nuclear Engineering Master | 2. Semester | W | |
| Process Engineering Master | Core Courses | W | |