Course detail
Reliability of Structures
FSI-RST Acad. year: 2027/2028 Summer semester
Seminar credits are granted under the condition of: active presence in the seminars, good elaborated homeworks, solution of additional tasks in case of longer excusable absence. Seminar tutor will specify concrete form of these conditions in the first week of semester.
Classified accreditation is in the written form; consists theoretical questions a problems for solution.
Attendence is required. One absence can be compensated by elaboration of substitute tasks. Longer absence is compensated by special tasks according to instructions of the tutor.
Seminar credits are granted under the condition of active presence in the seminars, good results of seminar tests of basic knowledge, solution of additional tasks in case of longer excusable absence. Seminar tutor will specify concrete form of these conditions in the first week of semester.
Language of instruction
Czech
Number of ECTS credits
4
Supervisor
Entry knowledge
Mathematical statistics and probability
Rules for evaluation and completion of the course
The requirements for the course-unit credit are active participation in seminars, well-prepared homework assignments and completion of additional tasks in the event of an extended excused absence. The seminar instructor will specify these requirements in the first week of the semester.
Assessment for the graded course-unit credit takes the form of a written test consisting of theoretical questions and problems to solve.
Attendance is required. A single absence may be made up by completing a replacement assignment. An extended absence requires a special assignment specified by the seminar instructor.
Seminar credits are granted under the condition of active presence in the seminars, good results of seminar tests of basic knowledge, solution of additional tasks in case of longer excusable absence. Seminar tutor will specify concrete form of these conditions in the first week of semester.
Aims
The course introduces modern methods for ensuring the dependability of machines, equipment and their systems throughout their life cycle. It covers the fundamentals of dependability theory and methods for designing dependable products as an essential aspect of quality.
Students will acquire modern computational and analytical methods for designing and verifying dependable products throughout their life cycle. They will be able to work with international and European standards governing suppliers’ responsibilities for quality, reliability and safety.
The study programmes with the given course
Programme N-IMB-P: Engineering Mechanics and Biomechanics, Master's
specialization BIO: Biomechanics, compulsory
Programme N-IMB-P: Engineering Mechanics and Biomechanics, Master's
specialization IME: Engineering Mechanics, compulsory
Type of course unit
Lecture
26 hours, optionally
Syllabus
1. Quality and dependability – meaning and guarantee, elementary terms.
2. Product states and activities. Reliability and lifetime indicators.
3. Dependability theory in limit states of structures. Design conceptions.
4. Methods for dependability assessment. Variability of input quantities.
5. Theory of interference – static model.
6. Theory of interference – dynamic model. Classification of methods.
7. Approximate methods FORM and SORM. Methods of simulation.
8. Systems dependability analysis – resources, general procedure.
9. Reliability block diagrams.
10. FMEA/FMECA methods
11. Fault-tree and event-tree analysis.
12. Markov analysis.
13. Dependability testing. Service dependability
Computer-assisted exercise
26 hours, compulsory
Syllabus
1. Characteristics of random variables. Discrete distributions in dependability.
2. Continuous distributions in dependability. The Poisson and exponential distributions.
3. The Weibull three- and two-parameter distributions.
4. The Gaussian distribution.
5. Characteristics of combinations of random variables.
6. Probability density and cumulative distribution function for combinations of random variabels.
7. Interference theory and systems MAPLE, MATLAB.
8. Probabilistic analysis in system ANSYS.
9. Probabilistic analysis in system ANSYS.
10. – 13. Presentation of selected software systems focused on dependability.