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2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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PR: American Nuclear Society welcomes Senate confirmation of Ted Garrish as the DOE’s nuclear energy secretary
Washington, D.C. — The American Nuclear Society (ANS) applauds the U.S. Senate's confirmation of Theodore “Ted” Garrish as Assistant Secretary for Nuclear Energy at the U.S. Department of Energy (DOE).
“On behalf of over 11,000 professionals in the fields of nuclear science and technology, the American Nuclear Society congratulates Mr. Garrish on being confirmed by the Senate to once again lead the DOE Office of Nuclear Energy,” said ANS President H.M. "Hash" Hashemian.
G. Danko, J. Birkholzer, D. Bahrami
Nuclear Technology | Volume 163 | Number 1 | July 2008 | Pages 110-128
Technical Paper | High-Level Radioactive Waste Management | doi.org/10.13182/NT08-A3975
Articles are hosted by Taylor and Francis Online.
A thermal-hydrologic natural-ventilation model is configured for simulating temperature, humidity, and condensate distributions in the coupled domains of the in-drift airspace and the near-field rock mass in the proposed Yucca Mountain repository. The multiphysics problem is solved with MULTIFLUX, in which a lumped-parameter computational fluid dynamics (CFD) model is iterated with TOUGH2. The iterative process ensures that consistent boundary conditions are used on the drift wall in both the CFD and the TOUGH2 model-elements. The CFD solution includes natural convection, conduction, and radiation for heat, as well as moisture convection and diffusion for moisture transport with half waste package-scale details in the drift. The TOUGH2 solution for the rock mass is generalized with the use of the Numerical Transport Code Functionalization technique in order to include both mountain-scale heat and moisture transport in the porous and fractured rock, and fine half waste package-scale details at the drift wall. The method provides fast convergence on a personal computer computational platform. Numerical examples and comparison with a TOUGH2-based integrated model are presented.