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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Deep Space: The new frontier of radiation controls
In commercial nuclear power, there has always been a deliberate tension between the regulator and the utility owner. The regulator fundamentally exists to protect the worker, and the utility, to make a profit. It is a win-win balance.
From the U.S. nuclear industry has emerged a brilliantly successful occupational nuclear safety record—largely the result of an ALARA (as low as reasonably achievable) process that has driven exposure rates down to what only a decade ago would have been considered unthinkable. In the U.S. nuclear industry, the system has accomplished an excellent, nearly seamless process that succeeds to the benefit of both employee and utility owner.
Tunc Aldemir
Nuclear Science and Engineering | Volume 155 | Number 3 | March 2007 | Pages 497-507
Technical Note | Mathematics and Computation, Supercomputing, Reactor Physics and Nuclear and Biological Applications | doi.org/10.13182/NSE07-A2680
Articles are hosted by Taylor and Francis Online.
Probabilistic dynamics (or continuous event tree approach) is a methodology used for the probabilistic risk assessment of systems where statistical dependence between failure events may arise because of indirect coupling through the controlled/monitored physical process and/or direct coupling through software/hardware/human intervention. Both the continuous and discrete time/space forms of the probabilistic dynamics frameworks assume that the set of possible trajectories describing the evolution of the system as a function of time in its state-space consists of measurable (and hence compact) subsets. Using a reduced-order boiling water reactor model, it is shown that this assumption may not be valid for systems of practical interest to nuclear engineering. The consequences of violating the measurability assumption on the probabilistic model accuracy are illustrated for the discrete time/state-space approach. Some guidelines for the choice of time/state discretization are also proposed.