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Division Spotlight
Mathematics & Computation
Division members promote the advancement of mathematical and computational methods for solving problems arising in all disciplines encompassed by the Society. They place particular emphasis on numerical techniques for efficient computer applications to aid in the dissemination, integration, and proper use of computer codes, including preparation of computational benchmark and development of standards for computing practices, and to encourage the development on new computer codes and broaden their use.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
Standards Program
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
Article considers incorporation of AI into nuclear power plant operations
The potential application of artificial intelligence to the operation of nuclear power plants is explored in an article published in late December in the Washington Examiner. The article, written by energy and environment reporter Callie Patteson, presents the views of a number of experts, including Yavuz Arik, a strategic energy consultant.
Constantine P. Tzanos
Nuclear Technology | Volume 109 | Number 1 | January 1995 | Pages 108-122
Technical Paper | Heat Transfer and Fluid Flow | doi.org/10.13182/NT95-A35071
Articles are hosted by Taylor and Francis Online.
Turbulent airflows around structures are important in many engineering applications. Such flows can have a significant impact on the thermal performance of the reactor vessel auxiliary cooling system (RVACS) of advanced liquid-metal reactor designs. The adequacy of the high-Reynolds-number form of the k-∈ model in analyzing turbulent airflow around structures like the RVACS stacks is evaluated. An experiment of simulated atmospheric turbulent flow around a cube is analyzed with the computer code COMMIX, and numerical predictions for pressure and velocity distributions are compared with experimental measurements. Considering the complexity of the problem and the approximations involved in the k-∈ model, the overall agreement between numerical predictions and measurements of pressure coefficients and velocities is good. The largest discrepancies between predictions and measurements are in the pressure coefficient at the sections of the top and side cube surfaces very close to the upwind edges and in the spanwise velocity distribution downstream from the cube.