| Course Unit Code | Course Unit Title | Number of ECTS Credits Allocated |
|---|
| 228-0206/05 | Reliability and Safety of Building Structures | 5 ECTS credits |
| Type of Course Unit | Choice-compulsory |
|---|
| Level of Course Unit | First Cycle |
|---|
| Year of Study | |
|---|
| Semester when the Course Unit is delivered | Winter Semester |
|---|
| Mode of Delivery | Face-to-face |
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| Language of Instruction | Czech, English |
|---|
| Prerequisites and Co-Requisites | |
|---|
| Prerequisities | Course Unit Code | Course Unit Title |
|---|
| 221-0008 | Steel and Timber Structures |
| 228-0203 | Statics of Building Structures II |
| 228-0204 | Elasticity and Plasticity |
| Name of Lecturer(s) | Personal ID | Name |
|---|
| KRE13 | doc. Ing. Martin Krejsa, Ph.D. |
| KON09 | Ing. Petr Konečný, Ph.D. |
| Learning Outcomes of the Course Unit |
|---|
| Students are familiarized with probabilistic approach to the assessment of the safety, serviceability and durability with the aid of basic principles of theory of reliability and computers. |
| Recommended Optional Programme Components |
|---|
| Common optional components are not offered, students of special interest can participate in departmental activities or can arrange consulting hours with lecturer. |
| Course Contents |
|---|
1. Introduction to theory of reliability and probabilistic computations.
2. Basics of probabilistic theory.
3. Random variable, probability distribution, (discrete and continuous).
4. Characterization, preparation and evaluation of random variables described by histograms.
5. Loading and load effect combinations of civil engineering structures.
6. Computational stochastic model featuring random variables (including description of resistance, load effects, reliability function, reliability conditions, limit states, computation of probability of failure, design probability).
7. Approximate methods SORM, FORM.
8. Monte Carlo numerical simulation method, pseudorandom number generator.
9. Enhanced Monte Carlo simulation methods: Latin Hypercube Sampling, Importance Sampling.
10. Numerical method Direct Optimalized Probabilistic Solution, types of optimalization.
11. Computational tools.
12. Probabilistic durability estimation, probabilistic optimalization, fatigue.
13. Random processes and fields, sophisticated reliability engineering methods (genetic algorithms, fuzzy sets, chaos theory).
14. Introduction to risk engineering
|
| Recommended or Required Reading |
|---|
| Required Reading: |
|---|
| Melchers, R. E. (1999): Structural reliability analysis and prediction (2nd edition), John Wiley & Sons Ltd., Chichester. |
Teplý B., Novák D.: Spolehlivost stavebních konstrukcí, CERM, s.r.o. Brno, 1999
|
| Recommended Reading: |
|---|
| Marek P., Brozzetti J., Guštar M., Tikalsky P., Editors. (2003). Probabilistic Assessment of Structures using Monte Carlo Simulation. Basics, Exercises, Software. (Second extended edition)., Publisher: ITAM Academy of Sciences of Czech Republic, Czech Republic |
Marek P., Guštar M., Anagnos T.: Simulation-based Reliability Assessment, CRC
Press, Inc., Boca Raton 1996 |
| Planned learning activities and teaching methods |
|---|
| Lectures, Tutorials, Project work |
| Assesment methods and criteria |
|---|
| Tasks are not Defined |
| Work placement(s) |
|---|
| Course does not contain work placement. |
