MR8502 - Structural Reliability


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

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
More on the course



Version: 1
Credits:  10.5 SP
Study level: Doctoral degree level


Term no.: 1
Teaching semester:  SPRING 2024

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Technological subjects
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Marine Technology


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"

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