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Multi-objective optimization design methodology for nuclear thermal propulsion reactors
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DOI：10.1016/j.anucene.2025.111936.png)
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Abstract
En 中文
The demand for high-performance propulsion systems in deep space exploration has accelerated improvements in the design of nuclear thermal propulsion reactors (NTPRs). Existing methods for designing NTPRs lack a systematic and integral approach. This study proposes a multi-objective design optimization method for NTPRs to develop a core that offers high thrust capabilities, high specific impulse, extended service life, and reduced weight. A heat transfer model is first constructed between assemblies based on their thermal interactions, after which it is integrated with a two-dimensional assembly model and a flight performance model that analyzes the nuclear rocket. Subsequently, a multi-objective parameter screening method is proposed to combine the aforementioned models, perform coupled iterative calculations, and optimize the core layout. The resulting design meets the global standards for thermal engineering, flight performance, and neutron physics while minimizing the core mass. An open-source Monte Carlo software, OpenMC, has also been employed to perform threedimensional neutronics calculations and assess the criticality, safety, and burnup performance of the reactor. Overall, the proposed low-enriched uranium NTPR design satisfies the criteria required for future manned deep space expeditions, offering a promising direction for further research in this field.
Keywords:
Nuclear thermal propulsion
Multi-objective parameter screening method
Optimized design
Monte Carlo software
Neutronic characteristics
Journal
A
IF:
2.3
Papers:
449
Citations:
1.5W
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Cited Papers
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