http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Advanced concepts in nuclear energy risk assessment and management
Over the past thirty years, numerous concerns have been raised in the literature regarding the capability of static modeling approaches such as the event-tree (ET)/fault-tree (FT) methodology to adequately account for the impact of process/hardware/software/firmware/human interactions on nuclear power plant safety assessment and methodologies to augment the ET/FT approach have been proposed. Often referred to as dynamic probabilistic risk/safety assessment (DPRA/DPSA) methodologies, which use a time-dependent phenomenological model of system evolution along with a model of its stochastic behavior to model for possible dependencies among failure events. The book contains a collection of papers that describe at existing plant level applicable DPRA/DPSA tools, as well as techniques that can be used to augment the ET/FT approach when needed.
Shutdown Probabilistic Safety Assessment -- Dynamic Probabilistic Risk Assessment Model Validation and Application {u2014} Experience with ADS-IDAC, Version 2.0 -- MCDET: A Tool for Integrated Deterministic Probabilistic Safety Analyses -- Why Sequence Dynamics Matters in PSA: Checking Consistency of Probabilistic and Deterministic Analyses -- Level 2 Probabilistic Risk Assessment Using Dynamic Event Tree Analysis -- EDF Experience in Integrated Deterministic Probabilistic Safety Analysis for Risk Assessment -- Offsite Power Reliability Assessment for Nuclear Power Plants: An Application of Dynamic Reliability to Power Systems -- Stochastic Differential Equations in Dynamic Reliability -- Dynamic Event Tree Modeling of a Reactor Coolant Pump Seal LOCA -- Markov/Cell-to-Cell Mapping Technique for Stochastic Modeling of Dynamic Systems -- Dynamic Flowgraph Methodology (DFM) Modeling of Nuclear and Advanced Technology System Risk and Reliability Scenarios -- Dynamic Behavior of Nuclear Power Plant State Under Severe Accident Conditions: Analysis by the GO-FLOW Methodology and the Consideration of Loop Structures -- Dynamic Accident Scenario Generation, Modeling and Post-Processing for the Integrated Deterministic and Probabilistic Safety Analysis of Nuclear Power Plants -- Software Behavior Modeling for Dynamic Probabilistic Risk Assessment: Perspectives.
edited by Tunc Aldemir, the Ohio State University.
Modern nuclear energy analysis methods ; v. 1