Course detail

Risk analysis of structures and processes

ÚSI-RTARSAcad. year: 2020/2021

Technical aspects of problems connected with risks that affect structures. The evaluation of such problems, and the application of risk analysis to structures. Randomness and reliability engineering. Quality engineering. Quantification of risks concerning load-bearing structures, assessment based on probabilistic approaches and the partial safety factor method. Load, ultimate limit state, serviceability limit state. Calculation of failure probability for structures. Data collection and prediction focused on risk engineering issues.

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Learning outcomes of the course unit

After completing the course the student will understand and be able to carry out the basic risk analysis of supporting structures.

Prerequisites

There are no special requirements.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Tuition takes place via lectures and seminars. The lectures focus on the explanation of basic principles, the methods of the given discipline, problems and example solutions. The seminars mainly support practical mastery of the subject matter presented in lectures or assigned for individual study with the active participation of students.

Assesment methods and criteria linked to learning outcomes

A condition for the award of the credit is the production of a semestral project. The test will consist of written and oral parts. It is necessary to pass the written part before the oral part can be completed.

Course curriculum

1. Introduction and definition of the subject, and the design, reliability and safety of built structures, as well as the risks affecting them. Portfolio of risks.
2. Risk analysis - the types of risks, risk assessment.
3. Basic concepts of analysis and modelling.
4. Randomness and reliability engineering.
5. Decision-making, forensic expertise and experts.
6. Reliability of structures (and systems), modelling.
7. Examples of application of reliability analysis to structures (systems).
8. Technical risk analysis - the identification of dangerous phenomena, the qualification of danger, risk quantification.
9. Tools for the quantification of risks (Monte Carlo method, forensic methods), and their application to structural engineering.
10. Tools for the quantification of risk (genetic algorithms, artificial neural networks).
11. Definition of uncertainty and sensitivity analysis.
12. Technical aspects of risk issues in structural engineering, optimization.
13. The system of risk management within an organization.

Work placements

Not applicable.

Aims

Students will be introduced to the basic concepts of risk-based approaches to the assessment of supporting structures, and the systemic approach to risk identification. After completing the course, students will be capable of performing the analysis and modelling of problems in the area of risk engineering, and possess the ability to articulate the critical points (identification of dangerous sites) of a construction project or existing structures.

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

Not applicable.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

FLANAGAN, R., NORMAN, R.: Risk Management and Constructions. Blackwell Science, 1993 (EN)
HAIMES, Y. Y.: Risk modeling, assessment and management. John Wiley and sons, 2004, ISBN 0-471=48048 (EN)
NILSON, A. H., DARWIN, D., DOLAN, CH. W.: Design of Concrete Structures. McGraf-Hill, New York, 2004 (EN)
TICHÝ, M.: Ovládání rizika. Ch. Beck, Praha 2006, ISBN 80-7179-415-5 (CS)

Recommended reading

DAVIS,L.: Handbook of Genetic Algorithms, Int. Thomson Com. Press, 1991, 385 s., ISBN 1-850-32825-0 (EN)
PMBOK Guide. Project management Institute, 2004, 3rd edition (EN)
RAIS, K., SMEJKAL,V.: Řízení rizik, Grada, 2004, 274 s., ISBN 80-247-0198-7 (CS)
TIJMS, H. C.: A first course in Stochastic Models. John Wiley and sons, 2003, ISBN 0-471-49881-5 (EN)

Classification of course in study plans

  • Programme RRTES_P Master's

    specialization RRTS , 2 year of study, winter semester, compulsory-optional

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

Exercise

26 hod., compulsory

Teacher / Lecturer