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Decommissioning & Environmental Sciences
The mission of the Decommissioning and Environmental Sciences (DES) Division is to promote the development and use of those skills and technologies associated with the use of nuclear energy and the optimal management and stewardship of the environment, sustainable development, decommissioning, remediation, reutilization, and long-term surveillance and maintenance of nuclear-related installations, and sites. The target audience for this effort is the membership of the Division, the Society, and the public at large.
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2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
Digital control system installed at China’s Linglong One
Earlier this month, the first digital control system was put in place at Linglong One, a small modular reactor demonstration project being built at the Changjiang nuclear power plant in Hainan Province. This is the world’s first land-based commercial SMR and is controlled by China National Nuclear Power Co. Ltd., a subsidiary of the China National Nuclear Corporation (CNNC).
Stefan Meyer, Ivan Otic, Xu Cheng
Nuclear Science and Engineering | Volume 184 | Number 3 | November 2016 | Pages 377-387
Technical Paper | doi.org/10.13182/NSE16-6
Articles are hosted by Taylor and Francis Online.
In the framework of a description of melt pool heat transfer under severe accident conditions, we introduce a computational fluid dynamics approach for the phase change based on the phase-field method. The approach is derived using the formalism of irreversible thermodynamics and depends on a phenomenological expression for the free energy of binary eutectic alloys. The free energy is constructed to describe sharp interfaces on sufficiently small length scales and is capable of representing the appearance of mushy layers in a volume-averaged large-scale perspective. In particular, a dynamic calculation procedure for the diffuse interface width is introduced based on free energy minimization. Numerical simulations using this approach are performed and compared with experimental and numerical results from the literature. These comparisons demonstrate that the new model improves numerical simulation results and is able to describe the dynamics of sharp and diffuse interfaces.