875335 Safety and reliability of structures


Type
Lecture and exercise
Semester hours
3
Lecturer (assistant)
Öttl, Stefan , Straßegger, Doris , Granzner, Maximilian , Strauss, Alfred
Organisation
Offered in
Sommersemester 2024
Languages of instruction
Englisch

Content

Introduction: safety and reliability
1.) Central concepts
2.) Problem areas and key questions
3.) Risks and residual risks

Threat analysis and action planning
1.) Hazards and their identification
2.) Hazard scenarios
3.) Types of measures

Information processing
1.) Elements of probability theory
2.) Analysis of samples
3.) Distributions
4.) Parameter estimation and extrapolation

Basic variables and models
1.) The problem of dimensioning
2.) Condition, elements of condition, basic variables
3.) Types of basic variables
4.) Resistance R and influence S of supporting elements

Reliability of elements and systems
1.) The Monte Carlo Method
2.) The problem of G = R – S

Load carrying capacity of existing structures
1) Evaluation stages
2.) Updating relevant information
3.) Sensitivity analyses
4.) Safety analyses

Threat analysis via logical trees
1.) Fault trees
2.) Event trees
3.) Cause and effect diagrams
4.) Vulnerability analysis and failure scenarios
5.) Decision trees

Human error in the construction process
1.) Types of errors
2.) Terms and relations
3.) Quality assurance and safety culture

Risk comparisons and normative questions
1.) Safety and hazards in the human sphere
2.) Comparison of risks
3.) Risk aversion

Previous knowledge expected

Completed Bachelor's degree in KTWW or equivalent qualification.

Objective (expected results of study and acquired competences)

The class is intended as an introduction to applied probability methods for students of KTWW (Land and Water Management and Engineering). Students will learn to formulate, evaluate and calculate reliability and safety relevant (probabilistic) problems within the scope of responsibility of agricultural engineers and water management specialists.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.