Course - Modelling, prevention and mitigation of natural hazard-triggered technological (Natech) accidents - PK8226
PK8226 - Modelling, prevention and mitigation of natural hazard-triggered technological (Natech) accidents
New from the academic year 2023/2024
Examination arrangement: Assignment
Grade: Passed / Not Passed
|Evaluation||Weighting||Duration||Grade deviation||Examination aids|
This inter-disciplinary course will address the complex dynamics of natural disaster effects on industrial facilities and other infrastructures. Representative examples can be found in the explosions at a chemical plant following Hurricane Harvey in Texas (2017) or the Fukushima Daiichi power plant accident following the 2011 tsunami. The increasing frequency and intensity of extreme hydrometeorological events due to climate change, along with the excessive urbanisation and the progressive expansion of critical facilities for our production and energy distribution systems call for ad-hoc management of the risk from Natech events (i.e., NAtural hazard-triggered TECHnological accidents). For this reason, the course offers an overview on modelling such scenarios and what are the measures to prevent and mitigate their effects. The main themes of this course include safety, risk management, climate change and energy distribution.
Knowledge: The students will get a thorough insight on the research developments in the field of Natech risk management. The students will also be able to recognize the state-of-the-art research activities in the field, and identify relevant research opportunities around their own topics.
Skills: The students shall be able to utilize models, methods and tools introduced and shared in this course into their own research.
General competence: The students shall be able to understand the mechanisms of how Natech events can develop and impact an industry and their surrounding environment, as well as identify and propose suitable measures to minimise accident risk for the exposed technological systems. The students will have the opportunity also to learn how to write a draft for a scientific paper to an international conference or journal and structure a research presentation.
Learning methods and activities
The course will be conducted as a series of 1-day seminars. The first seminar lecture will be given primarily by the course coordinator and invited lecturers, while the other seminars will include topics presented by the participants.
Further on evaluation
The participants will be expected to produce a paper in a conference format during the semester, and present it in the last seminar. Then, the participants will deliver the final paper for evaluation by the agreed deadline.
Recommended previous knowledge
Knowledge from TPK5160 to understand risk analysis.
Required previous knowledge
All students taking this course must be enrolled in a PhD program at NTNU or a different university.
Selected papers in journals and conferences, and other published research reports.
Credits: 7.5 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: AUTUMN 2023
Language of instruction: English
- Computer and Information Science
- Safety, Reliability and Maintenance
- Operations and Maintenance Management
- Risk Analysis
Department with academic responsibility
Department of Mechanical and Industrial Engineering
Examination arrangement: Assignment
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
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"