Risk and Vulnerability Courses

Duration

1 day

Program and objectives

The objective is to provide the students with the adequate methodological knowledge and quantitative modeling capabilities for carrying out risk analysis with the required scientific rigor. The expertise offered is that needed by the professional and conscientious safety and reliability analyst and manager. The course covers the following topics:

  • Risk: Qualitative and quantitative definitions, assessment and acceptability.
  • Probabilistic risk assessment: identification and quantification of accidental sequences (fault and event tree analyses); risk curves and matrices.
  • Risk analysis as a tool in support of regulatory licensing and operating requirements (Environmental Impact Assessment, Performance assessment, etc.)

Exercise section

Quantitative exercise classes are carried out in support to the comprehension of the material covered in class.

Who Should Take the Course

Individuals involved in and responsible for risk analyses, in different fields of application (military, transportation, manufacturing or production). Engineers, maintenance professionals, plant/facility managers and operators will benefit from the knowledge the course provides on the fundamentals of Risk and its utility in managing a plant.

Duration

1/2 day

Program and objectives

The course explains the concept of dependent failures (e.g. common causes) and illustrates the approaches used to model their effects on system reliability. This is quite relevant in reliability and risk analyses since in spite of the fact that all modern technological systems are highly redundant, they still fail because of dependent failures which can defeat the redundant system protective barriers and thus contribute significantly to risk. Quantification of such contribution is necessary to avoid gross underestimation of risk.

Who Should Take the Course

Individuals involved in and responsible for performing reliability and risk analyses of the operated systems, in different fields of application (military, transportation, manufacturing or production). Engineers, maintenance professionals, plant/facility managers and operators will benefit from the knowledge the course provides on the fundamentals of the dependent failure issue.

Duration

½ day

Program and objectives

The course is devoted to the presentation of the concept of importance measures and their role in reliability and risk analyses. From a broad perspective, importance measures aim at quantifying the contribution of components to the system performance, e.g. its reliability, availability or safety. For example, in system engineering applications, such as aerospace and transportation, the impact of components is considered on the system unreliability or, for renewal systems such as the manufacturing production and power generation ones, on the system unavailability. Information about the importance of the components constituting a system, with respect to its safety and availability, is of great practical aid to system designers, operators and managers: indeed, the identification of which components mostly determine the overall system behavior allows one to trace system bottlenecks and provides guidelines for effective actions of system improvement, in design, operation and management.

Exercise section

The course includes some exercise sessions on practical case studies.

Who Should Take the Course

Individuals involved in and responsible for maintenance process optimization, in different fields of application (military, transportation, manufacturing or production). Engineers, maintenance professionals, plant/facility managers and operators will benefit from the knowledge the course provides on the fundamentals of Importance Measures and their utility in effectively improving the overall system reliability and risk.

Duration

1 day

Program and objectives

A Bayesian Belief Network is a probabilistic graphical model, which is mainly seen as a tool allowing the analyst to exploit different information, deterministic or probabilistic, emerging from the real world, under the condition of complex relations between a large number of variables. BBN applications comprise a large range of risk analysis studies, such as: the classification of components and subsystems of a nuclear plant based on safety performance assessment, the assessment of integrated fire prevention and protection systems, prediction, and uncertainty analysis, fault diagnostics. The Bayesian approach provides also an aid for decision-making as a tool for improving the qualitative analysis throughout numerical procedures and to find a suitable reliability framework for dynamic systems.

Exercise section

The course includes some exercise sessions on practical case studies.

Who Should Take the Course

Individuals involved in and responsible for maintenance process optimization, in different fields of application (military, transportation, manufacturing or production). Engineers, maintenance professionals, plant/facility managers and operators will benefit from the knowledge the course provides on the fundamentals of BBN and their utility in effectively improving the overall system reliability and risk.

Duration

1 day

Program and objectives

The aim of this course is of presenting the state of knowledge in the evolving field of vulnerability and resilience analysis of critical infrastructure, which are complex physical-engineered networks systems. The targeted audience encompasses students of natural and engineering sciences at MS or PhD level, researchers in the field, non-routine practitioners in industries and agencies as well as executives responsible for critical infrastructure design, operation and protection. The course is structured around a vulnerability and resilience analysis of example system. At first the course introduces critical infrastructures in a top-down manner and defines the key terms including the concept of vulnerability followed by elaborations on characteristics of critical infrastructure such as complexity and dimensions of interdependencies, and on challenges to methods. Approaches for vulnerability assessment are categorized and outlined in more general terms before some methods for screening analysis and in-depth analysis are presented in detail. The methods are selected according to their eligibility to meet the challenges posed by the basic characteristics of the types of infrastructures and the objectives of the analysis defined beforehand. Selected methods, e.g. complex network theory, probabilistic techniques, and object oriented modeling, will be introduced in terms of basic approach, algorithm and measures, and explained by means of illustrative examples; strengths and weaknesses will be assessed separately and finally comparatively.

Exercise section

Illustrative examples are used to explain the theoretical concepts

Who Should Take the Course

Individuals involved in and responsible for critical infrastructure management. Engineers, maintenance professionals, plant/facility managers and operators will benefit from the knowledge the course provides on the fundamentals of vulnerability and resilience analysis .

to sign up  for the courses, please contact ats@aramis3d.com