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Human Factors, Instrumentation & Controls
Improving task performance, system reliability, system and personnel safety, efficiency, and effectiveness are the division's main objectives. Its major areas of interest include task design, procedures, training, instrument and control layout and placement, stress control, anthropometrics, psychological input, and motivation.
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Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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2024: The Year in Nuclear—July through September
Another calendar year has passed. Before heading too far into 2025, let’s look back at what happened in 2024 in the nuclear community. In today's post, compiled from Nuclear News and Nuclear Newswire are what we feel are the top nuclear news stories from July through September 2024.
Stay tuned for the top stories from the rest of the past year.
Tien-Ko Wang, Szu-Li Chang, Shi-Ping Teng
Nuclear Technology | Volume 83 | Number 1 | October 1988 | Pages 5-15
Technical Paper | Nuclear Safety | doi.org/10.13182/NT88-A34170
Articles are hosted by Taylor and Francis Online.
Using as a starting base the high-density spent-fuel storage racks to be put into the Chinshan and Kuo-shang nuclear power plants, a series of criticality analyses with various combinations of fuel assemblies and storage rack designs were performed using an AMPX-KENO/XSDRNPM computer code package. The calculated k∞ value for the storage pools in the two subject plants using Boral (0.013 g/cm2 10B) poisoned rack lattices and 3.2 wt% enriched fuel assemblies is 0.900 under conservative assumptions. Considering all the calculation biases and statistical and manufacturing uncertainties, the maximum k∞ value is estimated to be 0.929 under normal storage conditions. Variation in water temperature and density or abnormal positioning of fuel assemblies will result only in a negative effect on value. The deviation of the calculated k∞ values between the one-dimensional Sn XSDRNPM code and the KENO-IV code is within the normal Monte Carlo variations. Based on XSDRNPM calculations,K∞ values and the associated uncertainties due to fuel and rack manufacturing tolerances are tabulated. These interpolations can be used for the estimation of the value for any particular fuel and rack combination based on the tabulated data.