Recommended prerequisite for participation in the module

Content, progress and pedagogy of the module

Learning objectives

Knowledge

Students who complete the module:

• Understand the concepts risk, uncertainty, reliability and safety.
• Know statistical methods for modeling physical, model, statistical and measurement uncertainties.
• Know methods for assessment of reliability of structural systems using probabilistic methods.
• Know methods for systems reliability for non-structural components and its applications in engineering.

Skills

Students who complete the module:

• Be able to model physical, statistical, model and measurement uncertainties.
• Be able to use failure rates and hazard functions to model failures in systems reliability for non-structural components.
• Be able to model uncertainties for loads and strengths.
• Be able to estimate the reliability by FORM/SORM methods (reliability index method) and by simulation.
• Be able to model system behavior and estimate the reliability of series and parallel systems.
• Understand basic concepts of stochastic processes and time-variant reliability methods.
• Be able to estimate characteristic and design values for strength parameters and load bearing capacities, and for environmental loads and load effects using test data and measurements.
• Be able to calibrate partial safety factors and load combination factors.
• Be able to apply Bayesian statistical methods.
• Be able to apply risk and reliability methods for probabilistic design of engineering structures such as buildings, bridges, offshore structures, costal structures, wind turbines etc.
• Use correct professional terminology.

Competences

Students who complete the module:

• Be able to participate in a dialogue on modelling of uncertainties, risk analysis and assessment of reliability of structural and non-structural components and systems.
• Be able to model, calculate and communicate risk analysis, modelling of uncertainties and assessment of reliabilities for engineering problems

Type of instruction

Lectures, etc. supplemented with project work, workshops, presentation seminars, lab tests.

Extent and expected workload

The module is 5 ECTS which is corresponding to 150 hours of study.

Exam

Exams