Course Details
Theory of Structures Reliability
Academic Year 2025/26
NDA029 course is part of 1 study plan
NPC-SIK Summer Semester 1st year
Course Guarantor
Institute
Language of instruction
Czech
Credits
4 credits
Semester
summer
Forms and criteria of assessment
course-unit credit and examination
Offered to foreign students
Not to offer
Course on BUT site
Lecture
13 weeks, 2 hours/week, elective
Syllabus
- 1. Introduction of reliability theory, reliability background of standards for structural design (Eurocodes), structural resistance and load action as two independent random variables, reliability condition, reserve of reliability.
- 2. Limit state and philosophy of design by standards.
- 3. Reliability standards: theoretical failure probability, reliability index.
- 4. Aproximation methods FORM a SORM.
- 5. Numerical simulation method Monte Carlo in applications.
- 6. Computation model, model uncertainty, grosses errors.
- 7. Numerical simulation methods Latine Hypercube Sampling, Importace Sampling in applications.
- 8. Random process and random fields – Stochastic finite element methods and these applications.
- 9. Probabilistic optimization, problems of live-time of structures.
- 10. Weibull theory.
- 11. Unbalanced levels of the failure probability of the structures designed by standards, option of input variability modelling.
- 12. Introduction of Risk engineering.
- 13. Reliability software – summary and conclusion.
Exercise
13 weeks, 2 hours/week, compulsory
Syllabus
- 1. Statistical evaluation of random variable.
- 2. Recapitulation of probability and statistics using simple examples.
- 3. Examples on usage of Cornell reliability index.
- 4. Simple example to learn Monte Carlo simulation method using Excel.
- 5. Calculations of failure probability via Latin Hypercube Sampling in Excel.
- 6. More complex examples on simulation methods using Excel.
- 7. Evaluation of previous examples in Freet.
- 8. Failure probability estimation using FORM method (First Order reliability Method).
- 9. Calculation of failure probability using Importance Sampling.
- 10. Introduction to individual semestral project.
- 11.–13. Work on individual semestral projects.