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Duffey, R. B.

Publications and source records attributed to Duffey, R. B..

Accident-tolerant fuel: quantifying relative risks and timescales in severe accidents

For such severe accident scenarios, a key objective for alternative 'accident tolerant' fuels (or ATFs) is to increase the threshold temperature for possible accelerated hydrogen production and/or fuel damage and core degradation. By reducing hydrogen production, this change to more ATF should also give more time for restoring power and cooling, for mitigating actions like emergency equipment deployment, and consequently effect on- and off-site evacuation decisions. There is always a finite and non-zero probability of core damage due to the likelihood and chance of not restoring power and cooling. Using the Fukushima complete Station Black Out (SBO) and Loss-of-Cooling (LOC) scenario as a starting point, this paper establishes a simple limiting estimate for the potential changes in the timescales available for power and cooling recovery and for emergency evacuation decision-making made possible by using ATFs. The straightforward analysis also provides a basis for estimating the realistic probability of avoiding core damage for a range of assumed ATF failure properties or criteria, and the needed backup cooling requirements. The analysis includes the effects on the recovery probability caused by significant disruption and chaos. The results show that for this accident scenario, there is a relatively small benefit or increase in recovery probability due to only having higher ATF failure limits. The largest relative benefit arises from not only having ATF but also assuring longer cooling by extending the boil off or time before core uncover and damage onset, from somehow adding and/or injecting sufficient make up water, and/or rejecting decay heat, say for five or more days. Obviously, as an added benefit, some ATF concepts avoid or reduce hydrogen production, which improves containment integrity but does not significantly alter the core damage or failure probability.

22 GENERAL STUDIES OF NUCLEAR REACTORS↗

Learning from Trending, Precursor Analysis, and System Failures

Models of reliability growth relate current system unreliability to currently accumulated experience. But “experience” comes in different forms. Looking back after a major accident, one is sometimes able to identify previous events or measurable performance trends that were, in some sense, signaling the potential for that major accident: potential that could have been recognized and acted upon, but was not recognized until the accident occurred. This could be a previously unrecognized cause of accidents, or underestimation of the likelihood that a recognized potential cause would actually operate. Despite improvements in the state of practice of modeling of risk and reliability, operational experience still has a great deal to teach us, and work has been going on in several industries to try to do a better job of learning from experience before major accidents occur. It is not enough to say that we should review operating experience; there is too much “experience” for such general advice to be considered practical. The paper discusses the following: 1. The challenge of deciding what to focus on in analysis of operating experience. 2. Comparing what different models of learning and reliability growth imply about trending and precursor analysis.

97 MATHEMATICS AND COMPUTING↗