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CLEAN SMART bill reintroduced in Senate
Senators Ben Ray Luján (D., N.M.) and Tim Scott (R., S.C.) have reintroduced legislation aimed at leveraging the best available science and technology at U.S. national laboratories to support the cleanup of legacy nuclear waste.
The Combining Laboratory Expertise to Accelerate Novel Solutions for Minimizing Accumulated Radioactive Toxins (CLEAN SMART) Act, introduced on February 11, would authorize up to $58 million annually to develop, demonstrate, and deploy innovative technologies, targeting reduced costs and safer, faster remediation of sites from the Manhattan Project and Cold War.
G. D. Bouchey, B. V. Koen, C. S. Beightler
Nuclear Technology | Volume 12 | Number 1 | September 1971 | Pages 18-25
Technical Paper | Fuel Cycle | doi.org/10.13182/NT71-A15893
Articles are hosted by Taylor and Francis Online.
The dynamic programming algorithm is used to determine the optimal allocation of effort (measured in dollars or other appropriate units) to minimize the variance on the measurement of Material Unaccounted For (MUF) in a nuclear materials safeguards system. A multistage model of a hypothetical safeguards sampling system is formulated and optimized. The dynamic programming approach for optimization of a safeguards system allows more exact treatment of the model than is possible with classical optimization techniques and can easily be extended to handle large problems of the type that might be encountered in a real-world safeguards sampling system.