Abstract
Recently, dynamic probabilistic risk assessment (DPRA) has been used by risk researchers to analyze problems that are either difficult or impossible to solve using traditional fault tree and event tree methods. Several tools have been developed and are helping to advance system safety. However, multiple disciplines use traditional PRA modeling practices and have built advanced and complex models of their systems and DPRA modeling techniques would see faster and more wide-spread adoption if model creation and associated tools corresponded closer to traditional methods. A new modeling approach was implemented in Event Modeling Risk Assessment using Linked Diagrams (EMRALD) which incorporates the following features: - An intuitive web-based graphical user interface for modeling. - Traditional modeling aspects including basic events, fault trees, and event trees, are all captured in a dynamic stat diagram model. - An Open framework for simple coupling with physics codes. After running an EMRALD model, the user is able to not only obtain probabilistic results, but can also analyze the timing and ordering of events. Additionally, a coupling framework for physics codes, allows the user to incorporate and then determine when complex phenomena simulation, such as flood or fire analysis, is important to model accuracy.
Original language | English |
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State | Published - 2018 |
Event | 14th Probabilistic Safety Assessment and Management, PSAM 2018 - Los Angeles, United States Duration: Sep 16 2018 → Sep 21 2018 |
Conference
Conference | 14th Probabilistic Safety Assessment and Management, PSAM 2018 |
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Country/Territory | United States |
City | Los Angeles |
Period | 09/16/18 → 09/21/18 |
Keywords
- Dynamic PRA
- Dynamic PSA
- Simulation