Instructor information
Module leader: Prof. Massimo Guarascio
Course information
ECTS: 6 credits
Status: Compulsory
Semester: 4
Hours: 30/18 (lectures/exercises)
Link: course page
Objectives
The course aims to provide quantitative methods for safety analysis of complex systems according to all the in force regulations.
Specific aims:
- Theoretical concepts to support the definition of safety goals and criteria of '"acceptability" and "compliance"
- Role of geo-historical-statistical data set:
- to measure the accuracy of assumptions and parameters
- to evaluate the effectiveness of systems, subsystems and equipments
- Role of models in Quantitative Risk Analysis
- Constitutive and organizational elements of complex systems
- Types of system and risk factors
- Statistical analysis of accidents and injuries data
- Evaluation of empirical values of rates, conditional rates and empirical indicators of damage
- Probabilistic analysis of cause-effect conditions (Fault Tree Analysis) representing the relationships between primary causes and incidental events
- Probabilistic models of damage
- Definition of safety targets
- Cost-benefit analysis and Policy-price
Syllabus outline
- Characteristics of Quantitative Probabilistic Risk Analysis:
- Systemic approach to analyse sequences and interrelations in potential incidents or accidents, considering the logic chain of events
- Quantification of risks establishing the basis of a performance-based approach for the assessment of safety standards
- Event Tree Analysis (ETA):
- Estimation of the probabilities of all the final consequence events
- Fault Tree Analysis (FTA):
- Statistical inference techniques for the estimation of the probability of the initiating events
- Risk Evaluation:
- Acceptability and safety criteria.
- Risk and Safety Management:
- Effectiveness and also cost-effectiveness of different safety measures
- Frequency and consequence analysis of the scenarios evaluation
Essential reading list
- Lecture notes and exercises provided by the instructor
- S. Bernstein, R. Bernstein. Calcolo delle probabilità. Mc Graw-Hill
- A. H-S. Ang, W. H. Tang Probability concepts in engineering planning and decision. Vol. II Decision Risk and Reliability, Wiley 1990
Recent theses