Multi-objective Optimization Design of the Support in Flow Induced Vibration Test of Reactor Internals

Zhang Yu; Li Pengzhou; Qiao Hongwei; Miao Yuhan; Gao Lixia; Yu Danping; Sun Lei

doi:10.13832/j.jnpe.2023.04.0116

Volume 44 Issue 4

Aug. 2023

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Article Navigation > Nuclear Power Engineering > 2023 > 44(4): 116-120

Zhang Yu, Li Pengzhou, Qiao Hongwei, Miao Yuhan, Gao Lixia, Yu Danping, Sun Lei. Multi-objective Optimization Design of the Support in Flow Induced Vibration Test of Reactor Internals[J]. Nuclear Power Engineering, 2023, 44(4): 116-120. doi: 10.13832/j.jnpe.2023.04.0116

Citation:

Zhang Yu, Li Pengzhou, Qiao Hongwei, Miao Yuhan, Gao Lixia, Yu Danping, Sun Lei. Multi-objective Optimization Design of the Support in Flow Induced Vibration Test of Reactor Internals[J]. Nuclear Power Engineering, 2023, 44(4): 116-120. doi: 10.13832/j.jnpe.2023.04.0116

Citation:

Zhang Yu, Li Pengzhou, Qiao Hongwei, Miao Yuhan, Gao Lixia, Yu Danping, Sun Lei. Multi-objective Optimization Design of the Support in Flow Induced Vibration Test of Reactor Internals[J]. Nuclear Power Engineering, 2023, 44(4): 116-120. doi: 10.13832/j.jnpe.2023.04.0116

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Multi-objective Optimization Design of the Support in Flow Induced Vibration Test of Reactor Internals

doi: 10.13832/j.jnpe.2023.04.0116

Nuclear Power Institute of China, Chengdu, 610213, China

Received Date: 2022-08-29
Rev Recd Date: 2023-03-01
Publish Date: 2023-08-15

Abstract

Abstract

In order to fully improve the material utilization rate and isolate the fundamental frequency of the reactor internals, a parameter optimization study based on multi-objective optimization algorithm was carried out for the support structure in the flow induced vibration (FIV) test. The finite element model of support was established first, and the support quality, maximum stress intensity and fundamental frequency were regarded as the optimization goals. Then, the strength pareto evolutionary algorithm (SPEA-Ⅱ) was utilized to obtain global optimal solutions. Finally, the global sensitivity between the input and output parameters and pareto solution set were obtained, and a feasible support design scheme was given. By carrying out multi-objective optimization for the support, the manufacturing cost was significantly reduced while the structural strength was guaranteed. The related work can provide reference for similar support design.
- Reactor internals,
- Flow induced vibration(FIV),
- Support design,
- Multi-objective optimization

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References(15)

References

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