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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
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver 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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Argonne’s METL gears up to test more sodium fast reactor components
Argonne National Laboratory has successfully swapped out an aging cold trap in the sodium test loop called METL (Mechanisms Engineering Test Loop), the Department of Energy announced April 23. The upgrade is the first of its kind in the United States in more than 30 years, according to the DOE, and will help test components and operations for the sodium-cooled fast reactors being developed now.
Luciano Burgazzi
Nuclear Technology | Volume 173 | Number 2 | February 2011 | Pages 153-161
Technical Paper | Reactor Safety | doi.org/10.13182/NT11-A11544
Articles are hosted by Taylor and Francis Online.
This paper describes a modeling and analysis approach for reliability prediction based on degradation modeling, considering multiple degradation measures and with respect to the thermal-hydraulic passive systems.Previous research on the topic has drawn attention to the susceptibility of passive systems to several modes of failure. In fact, it has been recognized that a system may have, in addition to component mechanism failures, multiple degradation paths, so it is necessary to simultaneously consider multiple degradation measures. Also, many research efforts on degradation analysis were initiated by making assumptions about the degradation mechanism. In reality, often there is very limited understanding about the concerned degradation mechanisms together with their interdependencies.In this paper, an analysis procedure is developed to address this aspect. Simulated data have been used to illustrate the applicability of this approach. Results on the application of the methods to a simplified model of the passive residual heat transport system in water-cooled reactors is presented. It was verified that when the multiple degradation measures in a system are correlated, an incorrect independence assumption may overestimate the system reliability.