Forudsætninger/Anbefalede forudsætninger for
at deltage i modulet
The module builds on knowledge gained in Probability Theory and
Modulets indhold, forløb og pædagogik
Students who complete the module:
- Understand the concepts risk, uncertainty, reliability and
- 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.
- Be able to model physical, statistical, model and measurement
- 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
- Be able to calibrate partial safety factors and load
- Be able to apply Bayesian statistical methods.
- Be able to apply of risk & reliability methods for
probabilistic design of engineering structures such as buildings,
bridges, offshore structures, costal structures, wind turbines
- Use correct professional terminology.
- Be able to participate in a dialog on modeling 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,
modeling of uncertainties and assessment of reliabilities for
Type of instruction
Lectures, etc. supplemented with project work, workshops,
presentation seminars, lab tests.
Omfang og forventet arbejdsindsats
The module is 5 ECTS which is corresponding to 150 hours of