1. 西安交通大学 复杂服役环境重大装备结构强度与寿命全国重点实验室,陕西,西安,710049
2. 中国核电工程有限公司,北京,100840
[ "孙宇翔(2000—),男,安徽宿州人,博士研究生,研究方向为核工程力学,E-mail:yuxiangsun@stu.xjtu.edu.cn" ]
网络首发:2025-01-15,
纸质出版:2025
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孙宇翔,陈丽,龙波,王艳苹,刘诗华,贾坤. 复杂载荷下核级管路支架的多力学目标优化布置动力工程学报, 2025, 45(1): 45-53 https://doi.
org/10.19805/j.cnki.jcspe.2025.230593
孙宇翔,陈丽,龙波,王艳苹,刘诗华,贾坤. 复杂载荷下核级管路支架的多力学目标优化布置动力工程学报, 2025, 45(1): 45-53 https://doi. DOI: 10.19805/j.cnki.jcspe.2025.230593.
org/10.19805/j.cnki.jcspe.2025.230593 DOI:
当前核级管路支架人工迭代调整的布置方式占据核电站设计周期的比例较大
且无法实现支架数量和位置的最优选择
难以兼顾经济成本和力学性能。为此
借助管路有限元力学分析和非支配排序遗传算法(NSGA-II)
提出一种面向三维空间核电管路多力学目标性能的支架智能优化布置方法。2种典型核级管路支架设计示例表明:该智能布置方法具有良好的效果
可有效提高设计效率、降低劳动强度
不仅使管路最大应力皆小于RCC-M 《压水堆核岛机械设备设计和建造规则》规范限值
且仍有一定裕量
还能快速分析支架数量的影响
获得兼顾经济性和安全性的最优方案;该智能优化布置方法为核电管路系统支架布置提供了新思路。
The current arrangement method of manual iterative adjustment of nuclear safety-related piping supports occupies a large proportion of the design cycle of nuclear power plants
and cannot achieve the optimal selection of support quantity and position
making it difficult to balance economic cost and mechanical performance. Therefore
by utilizing finite element analysis and the non-dominated sorting genetic algorithm II (NSGA-II)
a support intelligent optimization layout method for multi mechanical objective performance of three-dimensional nuclear power pipelines was proposed. Two typical examples of nuclear safety-related piping supports design demonstrate: this intelligent layout
method has good effects
which can effectively improve design efficiency and reduce labor intensity; it not only makes the maximum stress of the pipeline less than the limit value specified in the RCC-M "
Design and Construction Rules for Mechanical Equipment of Pressurized Water Reactor Nuclear Islands
"
but also has a certain margin; it can quickly analyze the influence of the number of supports and obtain the optimal solution that balances economy and safety. The proposed method may provide a new approach for the layout of supports in nuclear power piping systems.
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