Loading...
Projects / Programmes source: ARIS

Development of new safety models and definition of risk criteria

Research activity

Code Science Field Subfield
2.13.00  Engineering sciences and technologies  Process engineering   

Code Science Field
T160  Technological sciences  Nuclear engineering and technology 
Keywords
safety, reliability, risk, criteria, fault tree, verjetnost, odločanje z upoštevanjem tveganja
Evaluation (rules)
source: COBISS
Researchers (6)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  12755  PhD Marko Tomaž Čepin  Energy engineering  Head  2004 - 2007  558 
2.  11425  PhD Romana Jordan Cizelj  Energy engineering  Researcher  2004 - 2007  508 
3.  24075  Tanja Klopčič    Technical associate  2004 - 2007 
4.  02852  PhD Borut Mavko  Energy engineering  Researcher  2004 - 2007  930 
5.  19725  Andrej Sušnik    Technical associate  2004 - 2007 
6.  26470  PhD Andrija Volkanovski  Process engineering  Junior researcher  2006 - 2007  168 
Organisations (1)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0106  Jožef Stefan Institute  Ljubljana  5051606000  90,664 
Abstract
Safety is a category, which is assessed and improved with help of risk assessment, and is becoming more and more important parameter for decision making. The well developed models, which represent positive and negative aspect of parameters, which contribute to the risk, are the prerequisite for risk informed decision making Risk modelling and analyses within this project are improved in such sense that they enable definition of acceptance criteria for events connected with risk. The improvements include: development of dynamic probabilistic safety assessments considering additional parameters of risk including time, development of methods for definition of risk criteria and integration of geological parameters with probabilistic safety assessment. Results of the project represent an important contribution to the development of science and they serve as a standpoint for new scientific findings about integration of fault tree with simulated annealing as an optimisation method, about formulation of a dynamic fault tree with included time dependencies, about better modeling of safety, which includes improved probabilistic models with additional new parameters, about integration of geological parameters with probabilistic safety models, about definition of quantitative risk criteria, which supports decision making and about contribution to increase the safety culture worldwide. The results of this project contribute to safe and reliable supply of electric power, to the protection of the environment and its inhabitants from events connected with risk, to the introduction of probabilistic safety assessment into the decision making and to easier identification of the location of the radioactive waste repository.
Views history
Favourite