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Human Factors, Instrumentation & Controls
Improving task performance, system reliability, system and personnel safety, efficiency, and effectiveness are the division's main objectives. Its major areas of interest include task design, procedures, training, instrument and control layout and placement, stress control, anthropometrics, psychological input, and motivation.
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2024 ANS Winter Conference and Expo
November 17–21, 2024
Orlando, FL|Renaissance Orlando at SeaWorld
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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
Growing the future nuclear energy workforce in the Volunteer State
The Volunteer State’s governor and representatives have made clear their intention to position Tennessee at the forefront of a nuclear energy growth surge over the next several years. They’re making the financial investment to back up this commitment, pledging $50 million to recruit the innovative and invest in the existing nuclear companies in the state.
In an interview with advocacy group Nuclear Matters, Gov. Bill Lee expressed his excitement and optimism for Tennessee’s nuclear future.
“Tennessee is one of the fastest growing states in the country,” he said. “Because of that, we have people and companies moving here and we need to have a dependable, reliable energy source.”
S. C. Wilson, R. N. Slaybaugh
Nuclear Science and Engineering | Volume 179 | Number 1 | January 2015 | Pages 22-41
Technical Paper | doi.org/10.13182/NSE13-109
Articles are hosted by Taylor and Francis Online.
Continued demand for accurate and computationally efficient transport methods to solve optically thick, fixed-source transport problems has inspired research on variance-reduction (VR) techniques for Monte Carlo (MC). Methods that use deterministic results to create VR maps for MC constitute a dominant branch of this research, with Forward Weighted–Consistent Adjoint Driven Importance Sampling (FW-CADIS) being a particularly successful example. However, locations in which energy and spatial self-shielding are combined, such as thin plates embedded in concrete, challenge FW-CADIS. In these cases the deterministic flux cannot appropriately capture transport behavior, and the associated VR parameters result in high variance in and following the plate. This work presents a new method that improves performance in transport calculations that contain regions of combined space and energy self-shielding without significant impact on the solution quality in other parts of the problem. This method is based on FW-CADIS and applies a Resonance Factor correction to the adjoint source. The impact of the Resonance Factor method is investigated in this work through an example problem. It is clear that this new method dramatically improves performance in terms of lowering the maximum 95% confidence interval relative error and reducing the compute time. Based on this work, we recommend that the Resonance Factor method be used when the accuracy of the solution in the presence of combined space and energy self-shielding is important.