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.
Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
Utility Working Conference and Vendor Technology Expo
August 8–11, 2021
Marco Island, FL|JW Marriott Marco Island
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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Nuclear Science and Engineering
Fusion Science and Technology
Longtime ANS member and uranium enrichment expert turns 100
ANS lifetime member Nathan H. Hurt recently celebrated his 100th birthday in Lake Havasu City, Ariz. To mark the occasion the city’s mayor, Cal Sheehy, declared June 6 as Nathan H. Hurt Day.
Nuclear Science and Engineering | Volume 194 | Number 8 | August-September 2020 | Pages 825-832
Technical Note | dx.doi.org/10.1080/00295639.2020.1753419
Articles are hosted by Taylor and Francis Online.
Integral systems test (IST) facilities, which are sometimes referred to as integral effects tests (IETs), play a key role in the design, assessment, and certification of innovative reactor designs. Data obtained using such facilities have been used to benchmark the best-estimate safety analysis computer codes used to evaluate nuclear plant safety. They have also been used to assess the effectiveness of safety system functions under simulated accident conditions. Scaling analyses are an important component in determining the applicability of an evaluation model for its intended purpose. Evaluation models can only approximate the physical behavior of postulated events on a prototype, and the judgment of their adequacy relies heavily on their capability in predicting IETs that were designed to simulate the events analyzed. With few exceptions, all ISTs are subscale representations of the power plants they are built to represent. As thermal-hydraulic computer codes are benchmarked to an IST database, the most important challenge for the analyst is the development of convincing scaling similarities between the IST and the plant. Unless such rules are clearly identified, it would not be possible to extend conclusions from the assessment of the tools against subscale data to the plant scenario time and geometry scales.