David Kropaczek

Andersen, B., & Kropaczek, D. J. (2023). MOOGLE: A Multi-Objective Optimization tool for three-dimensional nuclear fuel assembly design. PROGRESS IN NUCLEAR ENERGY, 155. https://doi.org/10.1016/j.pnucene.2022.104518

Toptan, A., Salko, R. K., Avramova, M. N., Clarno, K., & Kropaczek, D. J. (2019). A new fuel modeling capability, CTFFuel, with a case study on the fuel thermal conductivity degradation. NUCLEAR ENGINEERING AND DESIGN, 341, 248–258. https://doi.org/10.1016/j.nucengdes.2018.11.010

Kropaczek, D. J., & Walden, R. (2019). Constraint Annealing Method for Solution of Multiconstrained Nuclear Fuel Cycle Optimization Problems. NUCLEAR SCIENCE AND ENGINEERING, 193(5), 506–522. https://doi.org/10.1080/00295639.2018.1554173

Toptan, A., Kropaczek, D. J., & Avramova, M. N. (2019). Gap conductance modeling I: Theoretical considerations for single- and multi-component gases in curvilinear coordinates. NUCLEAR ENGINEERING AND DESIGN, 353. https://doi.org/10.1016/j.nucengdes.2019.110283

Toptan, A., Kropaczek, D. J., & Avramova, M. N. (2019). Gap conductance modeling II: Optimized model for UO2-Zircaloy interfaces. NUCLEAR ENGINEERING AND DESIGN, 355. https://doi.org/10.1016/j.nucengdes.2019.110289

Kropaczek, D. J., & Walden, R. (2019). Large-Scale Application of the Constraint Annealing Method for Pressurized Water Reactor Core Design Optimization. NUCLEAR SCIENCE AND ENGINEERING, 193(5), 523–536. https://doi.org/10.1080/00295639.2018.1550970

Toptan, A., Kropaczek, D. J., & Avramova, M. N. (2019). On the validity of the dilute gas assumption for gap conductance calculations in nuclear fuel performance codes. NUCLEAR ENGINEERING AND DESIGN, 350, 1–8. https://doi.org/10.1016/j.nucengdes.2019.04.042