Abstract
This chapter applies the Second-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Linear Systems (2nd-CASAM-L) to compute the mixed second-order sensitivities of the PERP benchmark’s leakage response involving the benchmark’s imprecisely known isotopic number densities and the following parameters: (i) the 6 × 6 second-order sensitivities between the isotopic number densities, (ii) the 6 × 180 mixed second-order sensitivities involving the total microscopic cross sections, (iii) the 6 × 21,600 mixed second-order sensitivities involving the scattering microscopic cross sections, (iv) the 6 × 60 mixed second-order sensitivities involving the fission microscopic cross sections, and (v) the 6 × 60 mixed second-order sensitivities involving the average number of neutrons produced per fission. It is shown that many of these mixed second-order sensitivities involving the isotopic number densities have very large values. Most of the large sensitivities involve the isotopic number density of 239Pu and the microscopic total, scattering, or fission cross sections for the 12th or 30th energy groups of 239Pu or 1H, respectively. The largest in absolute value (of −94.91) is attained by the second-order mixed sensitivity of the PERP leakage response involving the isotopic number density of 239Pu and the microscopic total cross section for the 30th energy group of 1H.
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References
Cacuci DG (2019c) BERRU predictive modeling: best estimate results with reduced uncertainties. Springer, Heidelberg/New York
Cacuci DG (2022) The nth-order comprehensive adjoint sensitivity analysis methodology, vol I. Springer, Heidelberg/New York
Fang R, Cacuci DG (2020b) Comprehensive second-order adjoint sensitivity analysis methodology (2nd-ASAM) applied to a subcritical experimental reactor physics benchmark: V. Computation of 2nd-order sensitivities involving isotopic number densities. Energies 13(10):2580. https://doi.org/10.3390/en13102580
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Cacuci, D.G., Fang, R. (2023). Second-Order Analysis: Effects of Isotopic Number Densities. In: The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume II. Springer, Cham. https://doi.org/10.1007/978-3-031-19635-5_7
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DOI: https://doi.org/10.1007/978-3-031-19635-5_7
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