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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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Service Life Restoration Technology for RBMK: Design, Implementation, and Assimilation Experience

The RBMK design-stage service life was assumed to be 30 years. Ten power-generating units have now exceeded this limit. Service life extension of nuclear power plants is a common practice in countries using nuclear energy. This approach was also applied to power-generating units with RBMK-1000 with servicelife extension to 45 years or more. To maintain electricity production in NPPs with RBMK, a technology for restoring the service-life characteristics was developed and implemented in the No. 1 unit of the Leningradskaya NPP. The results of the adoption of this technology in combination with experimental and computational validation of safety made it possible to extend the operation of the No. 1 unit of the Leningradskaya NPP in the power-generation mode since December 2013. Similar work was subsequently successfully completed in other power-generating units with RBMK.

22 GENERAL STUDIES OF NUCLEAR REACTORS↗

Kernel learning backward SDE filter for data assimilation

In this paper, we develop a kernel learning backward SDE filter method to estimate the state of a stochastic dynamical system based on its partial noisy observations. A system of forward backward stochastic differential equations is used to propagate the state of the target dynamical model, and Bayesian inference is applied to incorporate the observational information. Further, to characterize the dynamical model in the entire state space, we introduce a kernel learning method to learn a continuous global approximation for the conditional probability density function of the target state by using discrete approximated density values as training data. Numerical experiments demonstrate that the kernel learning backward SDE is highly effective.

97 MATHEMATICS AND COMPUTING↗