Instance of the encoding methodology for a radiation-shielding mannequin. Credit score: Nuclear Science and Strategies (2025). Two: 10.1007/S41365-025-01683-7
The analysis group (NEAL) from the College of South China has made vital progress in nuclear reactor radiation-shielding design. The group has developed a radiation-shielding optimization methodology (RP-NSGA and RP-MOABC) primarily based on a reference-point-selection technique, which effectively solves many-objective optimization issues in radiation-shielding design.
This achievement gives an modern answer for the shielding design of latest forms of nuclear reactors, and the associated analysis has been published within the journal Nuclear Science and Strategies.
Environment friendly algorithms handle the complicated design challenges of radiation-shielding
Standard radiation-shielding design strategies depend on knowledgeable expertise, making it troublesome to fulfill the a number of calls for for light-weight, compact, and environment friendly radiation safety in new forms of nuclear reactors, comparable to transportable, marine, and house reactors. The RP-NSGA and RP-MOABC algorithms proposed by the analysis group considerably improve optimization efficiency by integrating the reference level choice technique with genetic algorithms and synthetic bee colony algorithms, respectively.
“The algorithms can automatically identify optimal shielding solutions under multiple objectives and constraints, greatly reducing design complexity,” mentioned Prof. Zhen-Ping Chen, the corresponding writer of the paper. “This provides crucial technical support for the conceptual design phase of nuclear reactors, especially for the new types of reactors.”
Outstanding optimization outcomes
The group validated the algorithm’s effectiveness via two numerical experiments:
Easy 3D Shielding Construction Optimization: In contrast with the traditional crowding-distance technique, the common quantity and weight values for the shielding schemes within the last era of RP-NSGA are solely 24.5% and 14.5% of these of CD-NSGA, and the common quantity and weight values of RP-MOABC are solely 17.3% and 9.77% of these of CD-MOABC.
Complicated Shielding Construction Optimization: The algorithm efficiently optimized multi-layer, multi-material shielding, attaining 19.12% quantity discount and 24.50% weight reduction whereas assembly strict radiation dose constraints.
Broad software prospects
The algorithms usually are not solely relevant to nuclear reactor shielding design however may also be prolonged to different engineering fields that require multi-objective optimizationcomparable to reactor core design, shielding materials design, and medical radiation safety. The analysis group has built-in the algorithms into their self-developed MOSRT software program platform, offering an environment friendly software for engineering design.
The group plans to additional refine the algorithm’s efficiency and apply it to real-world engineering challenges, driving innovation and developments in nuclear know-how.
Extra data:
Many-objective evolutionary algorithms primarily based on reference-point-selection technique for software in reactor radiation-shielding design, Nuclear Science and Strategies (2025). Two: 10.1007/S41365-025-01683-7
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Algorithms present optimized radiation-shielding design options for brand new forms of nuclear reactors (2025, April 30)
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