Research reactor core loading optimization method and system based on hierarchical cross-evolution

By decomposing the core loading problem into fuel and non-fuel component optimization layers through a hierarchical cross-evolutionary approach, and using an improved evolutionary algorithm for collaborative optimization, the inefficiency of asymmetric core design under HFETR multi-mission irradiation scenarios is solved, and efficient and reliable core loading scheme generation is achieved.

CN122287124APending Publication Date: 2026-06-26NUCLEAR POWER INSTITUTE OF CHINA
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NUCLEAR POWER INSTITUTE OF CHINA
Filing Date
2026-04-09
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing optimization methods are difficult to coordinately optimize multiple objectives in the asymmetric core design of the High Flux Engineering Test Reactor (HFETR) under multi-mission irradiation scenarios within a limited computation time, and the search efficiency is low, which cannot meet the core design efficiency requirements of high-frequency refueling scenarios.

Method used

A research reactor core loading optimization method based on hierarchical cross-evolution is adopted. By constructing a hierarchical optimization model, the core loading problem is decomposed into a fuel assembly optimization layer and a non-fuel assembly optimization layer. An improved evolutionary algorithm is used for collaborative optimization to generate the arrangement scheme of fuel and non-fuel assemblies. Combined with multi-objective fitness evaluation and iterative optimization, a core loading scheme that meets the preset conditions is generated.

Benefits of technology

It effectively reduces the solution dimension of asymmetric core optimization, improves the convergence speed and computational efficiency of the optimization process, generates a more reliable core loading scheme in terms of physical feasibility and engineering practicality, and solves the optimization problem of asymmetric core layout in multi-task irradiation scenarios.

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Abstract

This invention relates to the field of nuclear reactor core design optimization technology, specifically to a method and system for optimizing the loading of a research reactor core based on hierarchical cross-evolution. The method includes: acquiring core geometric parameters, irradiation mission objectives, and an initial loading scheme; constructing a hierarchical optimization model, decomposing the core loading optimization problem into a fuel assembly optimization layer and a non-fuel assembly optimization layer; performing evolutionary algorithm optimization on the fuel assembly optimization layer to generate a fuel assembly arrangement scheme; dynamically defining the decision space of the non-fuel assembly optimization layer based on the fuel assembly arrangement scheme, generating a non-fuel assembly arrangement scheme; forming a core loading scheme based on the fuel assembly and non-fuel assembly arrangement schemes; performing multi-objective fitness evaluation and iterative optimization on the core loading scheme until preset conditions are met, and outputting the final core loading scheme and related parameters. Its purpose is to solve the asymmetric core arrangement problem in multi-mission irradiation scenarios and improve the efficiency of core design optimization.
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