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复杂载荷下核级管路支架的多力学目标优化布置

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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.
Multi Mechanical Objective Optimization Layout for Nuclear Safety-related Piping Supports Under Complex Loads
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 op-timal 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 algo-rithm Ⅱ(NSGA-Ⅱ),a support intelligent optimization layout method for multi mechanical objective per-formance 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 Me-chanical 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 econ-omy and safety.The proposed method may provide a new approach for the layout of supports in nuclear power piping systems.

nuclear safety-related pipinglayout of supports and hangersmulti mechanical objective opti-mizationNSGA-Ⅱ

孙宇翔、陈丽、龙波、王艳苹、刘诗华、贾坤

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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

中国核电工程有限公司,北京 100840

核级管路 支架布置 多力学目标优化 非支配排序遗传算法

2025

动力工程学报
中国动力工程学会 上海发电设备成套设计研究院

动力工程学报

北大核心
影响因子:0.991
ISSN:1674-7607
年,卷(期):2025.45(1)