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Automatic Generation of Generalized Event Sequence Diagrams for Guiding Simulation Based Dynamic Probabilistic Risk Assessment of Complex Systems

dc.contributor.advisorMosleh, Alien_US
dc.contributor.authorNejad-Hosseinian, Seyed Hameden_US
dc.date.accessioned2008-04-22T16:06:58Z
dc.date.available2008-04-22T16:06:58Z
dc.date.issued2007-11-27en_US
dc.identifier.urihttp://hdl.handle.net/1903/7750
dc.description.abstractDynamic probabilistic risk assessment (DPRA) is a systematic and comprehensive methodology that has been used and refined over the past two decades to evaluate the risks associated with complex systems such as nuclear power plants, space missions, chemical plants, and military systems. A critical step in DPRA is generating risk scenarios which are used to enumerate and assess the probability of different outcomes. The classical approach to generating risk scenarios is not, however, sufficient to deal with the complexity of the above-mentioned systems. The primary contribution of this dissertation is in offering a new method for capturing different types of engineering knowledge and using them to automatically generate risk scenarios, presented in the form of generalized event sequence diagrams, for dynamic systems. This new method, as well as several important applications, is described in detail. The most important application is within a new framework for DPRA in which the risk simulation environment is guided to explore more interesting scenarios such as low-probability/high-consequence scenarios. Another application considered is the use of the method to enhance the process of risk-based design.en_US
dc.format.extent3204615 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.titleAutomatic Generation of Generalized Event Sequence Diagrams for Guiding Simulation Based Dynamic Probabilistic Risk Assessment of Complex Systemsen_US
dc.typeDissertationen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentMechanical Engineeringen_US
dc.subject.pqcontrolledEngineering, Generalen_US
dc.subject.pqcontrolledEngineering, System Scienceen_US
dc.subject.pqcontrolledEngineering, Roboticsen_US
dc.subject.pquncontrolledrisken_US
dc.subject.pquncontrolledsimulationen_US
dc.subject.pquncontrolledscenarioen_US
dc.subject.pquncontrolledPRAen_US
dc.subject.pquncontrolledSimPRAen_US
dc.subject.pquncontrolledreliabilityen_US


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