1981
DOI: 10.13182/nt81-a32752
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Application of Differential Sensitivity Theory to a Neutronic/Thermal-Hydraulic Reactor Safety Code

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Cited by 14 publications
(18 citation statements)
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“…There are several alternative theoretical approaches to the adjoint-based sensitivity analysis. The prominent methods are the variational method, [9,11,18,19] the perturbation method [10,13,14], and the differential method [22,23]. The variational method is implemented in PERSENT as it only requires the use of a single method to obtain the sensitivities for all of the response parameters of interest.…”
Section: Sensitivity Functionalmentioning
confidence: 99%
“…There are several alternative theoretical approaches to the adjoint-based sensitivity analysis. The prominent methods are the variational method, [9,11,18,19] the perturbation method [10,13,14], and the differential method [22,23]. The variational method is implemented in PERSENT as it only requires the use of a single method to obtain the sensitivities for all of the response parameters of interest.…”
Section: Sensitivity Functionalmentioning
confidence: 99%
“…(11-13) with Eq. (11-11) and solving for s^ function of a: (11)(12)(13)(14)(15)(16) where the subscript d denotes drag-controlled deformation. Using this constant-structure deformation form in Eq.…”
Section: -11)mentioning
confidence: 99%
“…6 for more details concerning the formulation of Eqs. (11)(12)(13) through (11)(12)(13)(14)(15)(16).…”
Section: -11)mentioning
confidence: 99%
“…We began (2) by applying an equation-based sensitivity technique used successfully in the early eighties that was applied to reactor-safety thermalhydraulics problems (3,4), which is called Differential Sensitivity Theory (DST) (5,6). The methodology is as follows: the system of partial differential equations (the forward or physical PDEs) is assembled, and differentiated with respect to the model parameters of interest; the adjoint equations are then determined using the innerproduct rules of Hilbert spaces (5); and finally, the resulting adjoint PDEs are solved using straightforward numerical operators.…”
Section: Introductionmentioning
confidence: 99%