Course Details
Theory of Reliability
Academic Year 2023/24
NDB020 course is part of 1 study plan
NPC-SIS Summer Semester 1st year
Introduction of reliability theory, reliability background of standards for structural design (Eurocodes), Structural resistance and load action as two independent random variables, limit state and philosophy of design by standards, theoretical failure probability, reliability conditions, reliability reserve, reliability index, numerical simulation method Monte Carlo, Latin Hypercube Sampling, Importace Sampling, basic methods for failure probability analysis of structures designed by standards for design, basic methods for statistics, sensitivity and probabilistic analysis application to steel structures design. Introduction into risk engineering.
Course Guarantor
Institute
Objective
Students will get basic knowledge from reliability theory: creation of stochastic model, reliability condition, numerical simulation methods of Monte Carlo type, limit states, risk engineering.
Knowledge
Student will learn basic knowledge from reliability theory: creation of stochastic model, reliability condition, numerical simulation methods of Monte Carlo type, limit states, risk engineering.
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. Aproximační metody 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, use of statistics and sensitivity analysis for design of structures and verification and calibration of standards design procedures.
10. Imperfections analysis and this influence to failure of steel structures.
l1. Unbalanced of the failure probability of the structures designed by standards, option of input variability modelling.
12. Introduction of Risk engineering.
13. Reliability software – replenishment, conclusion and recapitulate.
2. Limit state and philosophy of design by standards.
3. Reliability standards: theoretical failure probability, reliability index.
4. Aproximační metody 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, use of statistics and sensitivity analysis for design of structures and verification and calibration of standards design procedures.
10. Imperfections analysis and this influence to failure of steel structures.
l1. Unbalanced of the failure probability of the structures designed by standards, option of input variability modelling.
12. Introduction of Risk engineering.
13. Reliability software – replenishment, conclusion and recapitulate.
Prerequisites
Knowledge from Elasticity and plasticity, Structural mechanic, Probability and statistics.
Language of instruction
Czech
Credits
3 credits
Semester
summer
Forms and criteria of assessment
graded course-unit credit
Specification of controlled instruction, the form of instruction, and the form of compensation of the absences
Extent and forms are specified by guarantor’s regulation updated for every academic year.
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. Aproximační metody 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, use of statistics and sensitivity analysis for design of structures and verification and calibration of standards design procedures.
10. Imperfections analysis and this influence to failure of steel structures.
l1. Unbalanced of the failure probability of the structures designed by standards, option of input variability modelling.
12. Introduction of Risk engineering.
13. Reliability software – replenishment, conclusion and recapitulate.
Exercise
13 weeks, 1 hours/week, compulsory
Syllabus
1. Recapitulation of probability and statistics using simple examples.
2. Examples on usage of Cornell reliability index.
3. Simple example to learn Monte Carlo simulation method using Excel.
4. Calculations of failure probability via Latin Hypercube Sampling in Excel.
5. Introduction to individual semestral project.
6.–7. Work on individual semestral projects.