Course detail

Reliabilty Theory of Building Materials

FAST-NDB026Acad. year: 2021/2022

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 according to standards, theoretical failure probability, reliability conditions, reliability reserve, reliability index, numerical simulation methods of Monte Carlo type, 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.

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Guarantor

prof. Ing. Drahomír Novák, DrSc.

Department

Institute of Structural Mechanics (STM)

Learning outcomes of the course unit

Student will learn following: Stochastic model, reliability condition, numerical simulation methods, limit states, linear elastic fracture mechanics.

Prerequisites

Knowledge from Elasticity, Structural mechanic, Probability and Statistics calculus.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Course curriculum

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 states and philosophy of design by standards; Reliability standards: theoretical failure probability, reliability index.
3. Numerical simulation method Monte Carlo in applications.
4. Computation model, model uncertainty, grosses errors.
5. Numerical simulation methods Latin Hypercube Sampling, Importace Sampling in applications, FORM, SORM approximation methods.
6. Linear elastic fracture mechanic - used of statistics and sensitivity analysis; verification and calibration of standards; design procedures.
7.–8. Modeling of failure process in concrete structures; Fictive crack model, Fictive crack model and rotate crack model.
9.–10. Reliability of the elements made of quasi-brittle materials, computations in ATENA code.

Work placements

Not applicable.

Aims

Stochastic model, reliability condition, numerical simulation methods, limit states, linear elastic fracture mechanics.

Specification of controlled education, way of implementation and compensation for absences

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme NPC-SIM Master's 2 year of study, winter semester, compulsory-optional

Type of course unit

 

Lecture

13 hod., optionally

Teacher / Lecturer

prof. Ing. Drahomír Novák, DrSc.

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 states and philosophy of design by standards; Reliability standards: theoretical failure probability, reliability index. 3. Numerical simulation method Monte Carlo in applications. 4. Computation model, model uncertainty, grosses errors. 5. Numerical simulation methods Latin Hypercube Sampling, Importace Sampling in applications, FORM, SORM approximation methods. 6. Linear elastic fracture mechanic - used of statistics and sensitivity analysis; verification and calibration of standards; design procedures. 7.–8. Modeling of failure process in concrete structures; Fictive crack model, Fictive crack model and rotate crack model. 9.–10. Reliability of the elements made of quasi-brittle materials, computations in ATENA code.

Exercise

13 hod., compulsory

Teacher / Lecturer

prof. Ing. Drahomír Novák, DrSc.

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. More complex examples on simulation methods using Excel. 6. Linear elastic fracture mechanics, simple calculations. 7.–8. Finite element method software Atena, creation of computational model. 9.–10. Randomization of Atena model through Sara studio.