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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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Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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How to talk about nuclear
In your career as a professional in the nuclear community, chances are you will, at some point, be asked (or volunteer) to talk to at least one layperson about the technology you know and love. You might even be asked to present to a whole group of nonnuclear folks, perhaps as a pitch to some company tangential to your company’s business. So, without further ado, let me give you some pointers on the best way to approach this important and surprisingly complicated task.
William T. Sha
Nuclear Science and Engineering | Volume 44 | Number 3 | June 1971 | Pages 291-300
Technical Paper | doi.org/10.13182/NSE71-A20162
Articles are hosted by Taylor and Francis Online.
A generalized model is presented for computing local void distribution, both radial and axial, in a light-water-moderated reactor channel. This model assumes that steam bubbles can be treated as free particles; thus, the continuity equation can describe the bubble motion. The model presented is considered to be particularly suitable for computer programming. It explicitly and simultaneously computes heat balance and conservation of mass, as well as void distribution. Furthermore, it provides sufficient flexibility to adjust constants in the equation so that any desired calculated void distribution can be obtained. Three existing pertinent void models constitute special cases of the proposed model.