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2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
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Don’t scrap ALARA—modernize it
For decades, U.S. radiation protection has rested on two pillars: the linear no-threshold (LNT) model and the principle of “as low as reasonably achievable” (ALARA). Together, these have shaped occupational dose management, regulatory limits, and emergency planning across the nuclear industry.
ames L. Macdonald, Billy V. Koen
Nuclear Science and Engineering | Volume | Number | Pages 142-151
Technical Paper | doi.org/10.13182/NSE75-A26636
Articles are hosted by Taylor and Francis Online.
This paper investigates the application of two artificial intelligence techniques, heuristic programming and learning theory, to the problem of digital computer control of nuclear reactors. The purpose of using an artificial intelligence approach is to alleviate the requirement for a detailed mathematical model of the nuclear reactor system. A control system is developed ivhich demonstrates the primary features of such an approach. Results are shown for several reactor and control problem variations using a computer simulated reactor.