Last modified: 31 May 2022 13:05
The world is full of uncertainties and there is a level of risk in every human activity, including engineering. Many industries require an engineer to manage significant risks and design for high reliability, such as oil and gas, subsea, nuclear, aviation and large civil projects (e.g. bridges and dams). To meet these engineering challenges and make rational decisions in the presence of uncertainty, this course will introduce students to methods and tools used by engineers to analysis risk and reliability.
|Session||Second Sub Session||Credit Points||15 credits (7.5 ECTS credits)|
The course introduces students to the engineering definitions of risk and reliability and the principles of risk based decision making. A review of relevant probability and statistics theory required for the course follows, then it focuses on widely used methods and tools for engineering risk and reliability analysis:
• Failure Modes Effects and Criticality Analysis
• Reliability Block Diagrams
• Fault Tree Analysis
• Event Tree Analysis
• Classic Reliability Theory
• Reliability, Availability and Maintainability (RAM) Analysis
• Structural Reliability Analysis, including:
• Monte Carlo Methods
• First Order Reliability Method (FORM)
And finally an introduction to human reliability and safety management, including safety management systems.
Information on contact teaching time is available from the course guide.
Coursework report (20%)
Open Book exam (80%)
Re-sit of only the failed assessment component(s)
There are no assessments for this course.
|Knowledge Level||Thinking Skill||Outcome|
|Factual||Remember||ILO’s for this course are available in the course guide.|
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