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
Fluor to serve as EPC contractor for Centrus’s Piketon plant expansion
The HALEU cascade at the American Centrifuge Plant in Piketon, Ohio. (Photo: Centrus Energy)
American Centrifuge Operating, a subsidiary of Centrus Energy Corp., has formed a multiyear strategic collaboration with Fluor Corporation in which Fluor will serve as the engineering, procurement, and construction (EPC) contractor for Centrus’s expansion of its uranium enrichment facility in Piketon, Ohio. Fluor will lead the engineering and design aspects of the American Centrifuge Plant’s expansion, manage the supply chain and procurement of key materials and services, oversee construction at the site, and support the commissioning of new capacity.
Richard Blake Codell
Nuclear Technology | Volume 148 | Number 2 | November 2004 | Pages 205-212
Technical Paper | High-Level Radioactive Waste Disposal | doi.org/10.13182/NT04-A3560
Articles are hosted by Taylor and Francis Online.
The Nuclear Regulatory Commission uses the ASHPLUME model in its evaluation of the basaltic volcanism scenario at the possible Yucca Mountain repository. The mixing of magma with the spent-fuel waste form is tied to a reasonable but unverified model that predicts that no dense tephra/fuel particles would form. An alternative model uses a mixing rule that allows the formation of dense tephra/fuel particles that would be transported in the volcanic plume differently. The alternative model shows significant sensitivity to the spent-fuel particle size distribution. However, differences in results between the two models are on average less than a factor of 2.