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Division Spotlight
Nuclear Installations Safety
Devoted specifically to the safety of nuclear installations and the health and safety of the public, this division seeks a better understanding of the role of safety in the design, construction and operation of nuclear installation facilities. The division also promotes engineering and scientific technology advancement associated with the safety of such facilities.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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
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.
Allen J. Toreja, Rizwan-uddin
Nuclear Science and Engineering | Volume 142 | Number 1 | September 2002 | Pages 85-95
Technical Note | doi.org/10.13182/NSE02-A2290
Articles are hosted by Taylor and Francis Online.
Adaptive mesh refinement capability has been developed and implemented for the time-dependent nodal integral method (NIM). The combination of adaptive mesh refinement (AMR) with the NIM maintains the coarse mesh efficiency of the nodal method by allowing high resolution only in regions where it is needed. Furthermore, exploiting certain features of the nodal method, such as using transverse-integrated variables for efficient error estimation and using node interior reconstruction to develop accurate interpolation operators, can enhance the AMR process. In this work, the NIM-AMR is formally developed, and applications of the NIM-AMR to convection-diffusion problems are presented. Results show that for a given accuracy, the NIM-AMR can be several times faster than the NIM alone.
