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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.
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2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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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.
Gwang Seop Son, Dong Hoon Kim, Choul Woong Son, Joon Kyo Kim, Jae Hyun Park
Nuclear Technology | Volume 184 | Number 3 | December 2013 | Pages 297-309
Technical Paper | Reactor Safety | doi.org/10.13182/NT13-A24987
Articles are hosted by Taylor and Francis Online.
This paper presents the architecture of the Safety Programmable Logic Controller (SPLC) for advanced nuclear safety systems and describes the evaluation and analyses of reliability for the SPLC using the Markov model. The SPLC is designed to have structural flexibility for users to select module redundancy according to the requirements of specific applications. To be used for the nuclear safety system, the SPLC is configured for multiple modular redundancy composed of dual modular redundancy and triple modular redundancy. Markov models were developed for three types of existing safety-grade Programmable Logic Controller (PLC) architectures and the SPLC, and the reliabilities of the architectures were then evaluated and analyzed using the models. The results show that the reliability of SPLC is up to 1.6 times better than those of the three PLC architectures, and the mean time to failure (MTTF) of the SPLC is up to 22 000 h better than those of the three. From the reliability analyses, the failure rate of each module in the SPLC should be <2 × 10-4 /h, and the MTTF average increase rate depending on the fault coverage factor (FCF) increment, i.e., MTFF/FCF, is 4 months/0.1.