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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.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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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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ARG-US Remote Monitoring Systems: Use Cases and Applications in Nuclear Facilities and During Transportation
As highlighted in the Spring 2024 issue of Radwaste Solutions, researchers at the Department of Energy’s Argonne National Laboratory are developing and deploying ARG-US—meaning “Watchful Guardian”—remote monitoring systems technologies to enhance the safety, security, and safeguards (3S) of packages of nuclear and other radioactive material during storage, transportation, and disposal.
T. Ozawa, T. Abe
Nuclear Science and Engineering | Volume 152 | Number 1 | January 2006 | Pages 37-47
Technical Paper | doi.org/10.13182/NSE06-A2561
Articles are hosted by Taylor and Francis Online.
In order to improve fast reactor performance, optimization of the design margin is required. Consequently, a probabilistic method for fuel rod design is being considered, and the Baysian Oriented Fuel Rod Performance Evaluation (BORNFREE) probabilistic code, which computed the statistical responses of several performance parameters concerning fuel rod integrity, was developed. The probability that the performance parameter exceeds the criterion and the design margin can be quantitatively estimated by using this code. In this study, uncertainties that affect the cladding stress, which is one of the performance parameters that restricts the lifetime of a fuel rod, were statistically simulated, and the probabilistic results were compared with the deterministic results of the conventional method. As a result of the trial computation, it was confirmed that the deterministic results were adequately conservative and exceeded the 3 upper level of the probabilistic results for any case. Furthermore, the deterministic results showed significant overestimation as compared with the probabilistic results. Consequently, it is suggested that the probabilistic method is a feasible option to optimize the design evaluation to expand the lifetime of a fuel rod.