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Adjoint-enabled multidimensional optimization of satellite electron/proton shields

20th Topical Meeting of the Radiation Protection and Shielding Division, RPSD 2018

Pautz, Shawn D.; Bruss, Donald E.; Adams, Brian M.; Franke, Brian C.; Blansett, Ethan B.

The design of satellites usually includes the objective of minimizing mass due to high launch costs, which is complicated by the need to protect sensitive electronics from the space radiation environment. There is growing interest in automated design optimization techniques to help achieve that objective. Traditional optimization approaches that rely exclusively on response functions (e.g. dose calculations) can be quite expensive when applied to transport problems. Previously we showed how adjoint-based transport sensitivities used in conjunction with gradient-based optimization algorithms can be quite effective in designing mass-efficient electron/proton shields in one-dimensional slab geometries. In this paper we extend that work to two-dimensional Cartesian geometries. This consists primarily of deriving the sensitivities to geometric changes, given a particular prescription for parametrizing the shield geometry. We incorporate these sensitivities into our optimization process and demonstrate their effectiveness in such design calculations.

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TYPE Conference Poster YEAR 2018
OSTIScopus

Treatment of Nuclear Data Covariance Information in Sample Generation

Swiler, Laura P.; Adams, Brian M.; Wieselquist, William

This report summarizes a NEAMS (Nuclear Energy Advanced Modeling and Simulation) project focused on developing a sampling capability that can handle the challenges of generating samples from nuclear cross-section data. The covariance information between energy groups tends to be very ill-conditioned and thus poses a problem using traditional methods for generated correlated samples. This report outlines a method that addresses the sample generation from cross-section matrices.

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TYPE SAND Report YEAR 2017
DOIDOIOSTIOSTI

User Guidelines and Best Practices for CASL VUQ Analysis Using Dakota

Adams, Brian M.; Coleman, Kayla; Hooper, Russell H.; Khuwaileh, Bassam A.; Lewis, Allison; Smith, Ralph C.; Swiler, Laura P.; Turinsky, Paul J.; Williams, Brian W.

Sandia's Dakota software (available at http://dakota.sandia.gov) supports science and engineering transformation through advanced exploration of simulations. Specifically it manages and analyzes ensembles of simulations to provide broader and deeper perspective for analysts and decision makers. This enables them to enhance understanding of risk, improve products, and assess simulation credibility.

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TYPE SAND Report YEAR 2016
DOIOSTI
Results 26–50 of 113
Results 26–50 of 113