基于遗传算法的防波通道拓扑优化

陈昊宇; 汪琳阁; 陈名松

doi:10.3969/j.issn.2096-6091.2023.16.004

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基于遗传算法的防波通道拓扑优化

研究论文 | 更新时间：2025-03-26

- 基于遗传算法的防波通道拓扑优化
- Topology Optimization of Wave-Proof Channel Based on Genetic Algorithm
- 新一代信息技术 2023年6卷第16期页码：21-25
- 作者机构：
  
  1.广西电力职业技术学院，广西南宁 530007
  2.桂林电子科技大学北海校区，广西北海 536000
- 作者简介：
  
  陈昊宇（1998—），男，广西电力职业技术学院教师。研究方向：人工智能。Email：1284574824@qq.com
  汪琳阁（1999—），男，桂林电子科技大学硕士研究生。研究方向：水波调控、拓扑优化。Email：20172301004@mails.guet.edu.cn
  陈名松（1967—），男，教授，桂林电子科技大学硕士生导师。研究方向：光通信、宽带通信网络、光电子技术。Email：cms@guet.edu.cn
- 基金信息：
  
  广西壮族自治区创新驱动发展专项资金项目
- DOI：10.3969/j.issn.2096-6091.2023.16.004
  中图分类号： F407
- 纸质出版日期：2023-08-30
- 稿件说明：
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陈昊宇, 汪琳阁, 陈名松. 基于遗传算法的防波通道拓扑优化[J]. 新一代信息技术, 2023, 6(16): 21-25

CHEN Hao-yu, WANG Lin-ge, CHEN Ming-song. Topology Optimization of Wave-Proof Channel Based on Genetic Algorithm[J]. New Generation of Information Technology, 2023, 6(16): 21-25
陈昊宇, 汪琳阁, 陈名松. 基于遗传算法的防波通道拓扑优化[J]. 新一代信息技术, 2023, 6(16): 21-25 DOI： 10.3969/j.issn.2096-6091.2023.16.004.

CHEN Hao-yu, WANG Lin-ge, CHEN Ming-song. Topology Optimization of Wave-Proof Channel Based on Genetic Algorithm[J]. New Generation of Information Technology, 2023, 6(16): 21-25 DOI： 10.3969/j.issn.2096-6091.2023.16.004.

摘要

为解决海洋工程领域中防波结构设计问题，本文利用人工周期结构中相同横向模式相干导致的布拉格共振原理，提出了一种基于遗传算法的拓扑优化设计方法。首先我们实现了防波通道中的水表面波位移场的有限元数值求解；然后将通道结构网格化，并使用对应的结构矩阵表示，同时以防波通道透过率谱为特征，引入材料最小化为目的构建了防波通道结构优化模型；最后使用遗传算法对代表通道几何形状的结构矩阵进行寻优，实现了周期结构的拓扑优化，并能根据工程目标的消波频率需求自动优化生成对应的防波通道结构。文中提出的拓扑优化方案为防波通道设计提供了不同的思路，并提高了设计效率。

Abstract

In order to solve the problem of wave protection structure design in the field of ocean engineering

this paper proposes a topology optimization design method based on genetic algorithm by using the principle of Bragg resonance caused by the coherence of the same transverse modes in artificial periodic structures. Firstly

we realize the finite element numerical solution of the displacement field of the surface water waves in the wave proof channel; then we mesh the channel structure and use the corresponding structural matrix to represent it

and at the same time

we construct a structural optimization model of the wave proof channel with the transmittance spectrum as the feature

and we introduce the purpose of material minimization; finally

we use genetic algorithms to search for optimization on the structural matrix that represents the channel geometry

and we realize the topology optimization of the periodical structure. Finally

a genetic algorithm is used to optimize the structure matrix representing the channel geometry to realize the topology of the periodic structure

and the corresponding wave proof channel structure can be automatically optimized and generated according to the demand of wave dissipation frequency of the engineering target. The proposed topology optimization scheme provides different ideas for the design of the wave proof channel and improves the design efficiency.

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references

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