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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.
Michel Bloch, Daniel Dussarté, Jean-Louis Pierrey
Nuclear Technology | Volume 84 | Number 3 | March 1989 | Pages 282-284
Technical Paper | Probabilistic Safety Assessment and Risk Management / Nuclear Safety | doi.org/10.13182/NT89-A34211
Articles are hosted by Taylor and Francis Online.
Premature aging of the heat exchange tubes in steam generators due to stress corrosion may be a common cause of nonsimultaneous multiple ruptures, enhancing the risk associated with that accidental situation. Classical methods for probabilistic evaluation are not easily applicable to this type of problem. The component lifetime can be used directly as a primary random variable with a distribution width (mean value irrelevant) deduced from operational data or engineering judgment. The conditional probability to get one or more ruptures before a critical time following the occurrence of the first rupture can be obtained from the probability laws for the time intervals between the first and successive ruptures and can be used in accident sequence analyses. As an example, the conditional probability of the second rupture is approximately proportional to the critical time and is ∼10−4 for a lifetime distribution standard deviation of 15 000 h and a critical time of 1 h.