Structure-Performance-Cost Integration Multi-Objective Optimization Design for HTR Fuel Storage Canister

Hao Yuchen; Li Yue; Wang Jinhua; Gong Menghang; Wu Bin; Wang Haitao; Ma Tao; Liu Bing

doi:10.13832/j.jnpe.2023.02.0145

Volume 44 Issue 2

Apr. 2023

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Article Navigation > Nuclear Power Engineering > 2023 > 44(2): 145-151

Hao Yuchen, Li Yue, Wang Jinhua, Gong Menghang, Wu Bin, Wang Haitao, Ma Tao, Liu Bing. Structure-Performance-Cost Integration Multi-Objective Optimization Design for HTR Fuel Storage Canister[J]. Nuclear Power Engineering, 2023, 44(2): 145-151. doi: 10.13832/j.jnpe.2023.02.0145

Citation:

Hao Yuchen, Li Yue, Wang Jinhua, Gong Menghang, Wu Bin, Wang Haitao, Ma Tao, Liu Bing. Structure-Performance-Cost Integration Multi-Objective Optimization Design for HTR Fuel Storage Canister[J]. Nuclear Power Engineering, 2023, 44(2): 145-151. doi: 10.13832/j.jnpe.2023.02.0145

Citation:

Hao Yuchen, Li Yue, Wang Jinhua, Gong Menghang, Wu Bin, Wang Haitao, Ma Tao, Liu Bing. Structure-Performance-Cost Integration Multi-Objective Optimization Design for HTR Fuel Storage Canister[J]. Nuclear Power Engineering, 2023, 44(2): 145-151. doi: 10.13832/j.jnpe.2023.02.0145

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Structure-Performance-Cost Integration Multi-Objective Optimization Design for HTR Fuel Storage Canister

doi: 10.13832/j.jnpe.2023.02.0145

Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Collaborative Innovation Center of Advanced Nuclear Energy Technology, Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing, 100084, China

Received Date: 2022-05-26
Rev Recd Date: 2023-02-12
Publish Date: 2023-04-15

Abstract

Abstract

Fuel storage canister is a key equipment in the fuel supply system for high temperature reactor (HTR). In order to explore the optimal design scheme, a structure-performance-cost integration multi-objective optimization design method for fuel storage canister is proposed as follows: select the structural plate thickness of fuel storage canister as the design variable, use the Latin hypercube sampling (LHS) method to generate uniform sampling points, obtain the drop response through numerical calculation, and employ the hybrid radial basis function neural network (RBFNN)-feedforward neural network (FFNN) to construct a surrogate model. With the optimization design objectives of minimizing the maximum plastic deformation, the cost and the mass, constrain the radial displacement expansion under the action of pebble bed, and solve the optimization problem by using the strength Pareto evolutionary algorithm (SPEA-Ⅱ). The results show that the safety of the fuel storage canister is significantly improved, and the maximum plastic deformation can be reduced by 20.17%; it has good economical efficiency and lightweight effect, the cost of a single canister can be reduced by 2,128 yuan, and the mass can be reduced by 12.54%. The integration optimization method proposed in this paper can provide reference for the fuel storage canister design.
- High temperature reactor,
- Fuel storage canister,
- Structure-performance-cost integration,
- Multi-objective optimization

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References(17)

References

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