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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 Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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Latest News
College students help develop waste-measuring device at Hanford
A partnership between Washington River Protection Solutions (WRPS) and Washington State University has resulted in the development of a device to measure radioactive and chemical tank waste at the Hanford Site. WRPS is the contractor at Hanford for the Department of Energy’s Office of Environmental Management.
C. Rabiti, A. Alfonsi, A. Epiney
Nuclear Science and Engineering | Volume 182 | Number 1 | January 2016 | Pages 104-118
Technical Paper | Special Issue on the RELAP5-3D Computer Code | doi.org/10.13182/NSE14-143
Articles are hosted by Taylor and Francis Online.
PHISICS (Parallel and Highly Innovative Simulation for INL Code System) is a reactor physics package developed at the Idaho National Laboratory. It is composed of several modules: a nodal and semistructured transport core solver (INSTANT), a depletion module (MRTAU), a time-dependent solver (TimeIntegrator), a cross-section interpolation and manipulation framework (MIXER), a criticality search module (CRITICALITY), and a fuel management and shuffling component (SHUFFLE). The PHISICS code has been coupled to the RELAP5-3D thermal-hydraulics code. Flexibility in the coupling among the different modules and with RELAP5-3D allows for several new integrated computational schemes and improvements with respect to current available options using NESTLE/RELAP5-3D. These schemes will be described in this paper. Moreover, the whole PHISICS package is fully parallelized, using the Message Passing Interface protocol. This allows for reduced computational times, while providing the capability to solve very detailed problems.