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Division Spotlight
Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
Meeting Spotlight
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott Downtown
Standards Program
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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Latest News
NuScale Energy Exploration Center opens at SC State
NuScale Power Corporation’s latest Energy Exploration (E2) Center has opened at South Carolina State University, in Orangeburg. E2 Centers are designed to provide visitors with hands-on experiences in simulated scenarios of operations at nuclear power plants. NuScale has established 10 such centers around the world. The company officially presented the fully installed E2 Center to SC State on May 21, after a collaborative setup and training process was completed.
J. M. Kontoleon
Nuclear Science and Engineering | Volume 70 | Number 3 | June 1979 | Pages 315-317
Technical Note | doi.org/10.13182/NSE79-A20155
Articles are hosted by Taylor and Francis Online.
This Note analyzes the availability of supervised protective systems for nuclear reactors. Failure and repair times are assumed to be exponentially distributed. The availability is maximized, subject to a given fixed amount of resources, by determining the optimum distribution of resources between supervision and repair facilities and by selecting the optimum active-inactive times of the supervisor. The mathematical formulation employs a Markov model continuous in time and alternating between two and three discrete states. Maximization of availability is achieved by using a modified pattern search technique. Computer results illustrate the usefulness of the approach.