Course - Structural Reliability - MR8502
MR8502 - Structural Reliability
About
Examination arrangement
Examination arrangement: Aggregate score
Grade: Passed / Not Passed
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| Oral exam | 70/100 | 1 hours | E | |
| Project assignment | 30/100 |
Course content
The aim is to establish methods for probabilistic modelling and analysis of structural behaviour and safety. Applications to ships, offshore platforsm, pipelines and other marine and civil engineering structures. The subject deals with: probabilistic modelling of structural components strength against brittle fracture and ductile collapse as well as fatigue. Different methods for calculating reliability of components, including FORM/SORM integration and Monte Carlo simulation methods. Systems reliability. Bayes' updating of reliability based on proof loading, inspecting etc.. Design codes based on probabilistic methods. Reliability of existing structures. Probabilistic structural risk analysis.
Learning outcome
After completion of this subject the candidate should have acquired competence in the research front within selected topics of structural analysis as well as an ability to formulate and solve complex problems within this field. Knowledge: After completion of this subject the candidate should have a deep insight into uncertainty assessment of loads, load effects and resistance of marine structures subjected to wave and wind loads and reliability analysis; including interpretation of the calculation results. Skills: After completing this course the candidate should be able to -independently develop and use methods and software and critically assess interpret the results of the analysis. -formulate research goals within this subject area. -carry out literature search and acquire knowledge from scientific articles. -carry our peer review of scientific articles within the subject area. General competence: After completion of this subject the candidate should have developed his/her ability to reason in a critical manner and utilize this ability to ensure quality control and further development of the knowledge present in the scientific literature as well as to assess where the research front lies in the relevant subject.
Learning methods and activities
Mandatory exercises and a small project work. Minimum three students must register if the course is to be taught. If there are many students, the examination form may be changed from an oral to a written exam. To pass the course a score of at least 70 percent is required.
Further on evaluation
For a re-take of an examination, all assessments during the course must be re-taken
Specific conditions
Admission to a programme of study is required:
Engineering (PHIV)
Recommended previous knowledge
TMR4235 Stochastic Theory of Sealoads or equivalent.
Required previous knowledge
A solid knowledge of basic statistics including multidimensional models.
Course materials
T. Moan: Structural Reliability and Risk Analysis, Lecture Notes, Department of marine structures, NTNU,1996. R.E. Melchers: Structural Reliability, Ellis Horwood Ltd. New York, 1999. Journal and conference papers.
Credit reductions
| Course code | Reduction | From | To |
|---|---|---|---|
| MR8209 | 10.5 | AUTUMN 2014 |
No
Version: 1
Credits:
10.5 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: SPRING 2025
Language of instruction: English
Location: Trondheim
- Technological subjects
Department with academic responsibility
Department of Marine Technology
Examination
Examination arrangement: Aggregate score
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Project assignment 30/100 INSPERA
-
Room Building Number of candidates - Autumn ORD Oral exam 70/100 E
-
Room Building Number of candidates - Spring ORD Project assignment 30/100 INSPERA
-
Room Building Number of candidates - Spring ORD Oral exam 70/100 E
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"