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
Jan 2026
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
February 2026
Nuclear Technology
January 2026
Fusion Science and Technology
November 2025
Latest News
DOE saves $1.7M transferring robotics from Portsmouth to Oak Ridge
The Department of Energy’s Office of Environmental Management said it has transferred four robotic demolition machines from the department’s Portsmouth Site in Ohio to Oak Ridge, Tenn., saving the office more than $1.7 million by avoiding the purchase of new equipment.
Björn Gylling, Luis Moreno, Ivars Neretnieks
Nuclear Technology | Volume 122 | Number 1 | April 1998 | Pages 93-103
Technical Paper | Radioactive Waste Management and Disposal | doi.org/10.13182/NT98-A2854
Articles are hosted by Taylor and Francis Online.
The release from initially damaged canisters for spent fuel located in crystalline rock is calculated. The radionuclide transport through the near field is calculated using the compartment model (NUCTRAN), and then the channel network concept (CHAN3D) is used for the transport in the far field. The flow rates at certain canister locations from the flow field generated by CHAN3D are used as input data to NUCTRAN, and then the near-field release is used as input to the far-field transport simulations. The models are applied to a hypothetical repository layout located at the Swedish Äspö Hard Rock Laboratory site. The hydraulic data and the flow-wetted surface area used in the model are estimated from hydraulic measurements. Release rate calculations for several radionuclides are performed to illustrate the model-coupling concept. The coupled models can be used as an efficient tool to simulate release from a repository and the transport to a recipient.