ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
Feb 2026
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
March 2026
Nuclear Technology
February 2026
Fusion Science and Technology
January 2026
Latest News
Mirion announces appointments
Mirion Technologies has announced three senior leadership appointments designed to support its global nuclear and medical businesses while advancing a company-wide digital and AI strategy. The leadership changes come as Mirion seeks to advance innovation and maintain strong performance in nuclear energy, radiation safety, and medical applications.
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.