| 基于AFSA的电阻应变传感器布设优化方法研究 |
| Research on layout optimization method of resistance strain sensor based on AFSA |
| |
| HTML 查看全文 查看/发表评论 下载PDF阅读器 |
| 中文摘要: |
| 为解决结构数字孪生系统构建、结构健康监测系统搭建以及部分结构关键信息获取等过程中传感器的布局设计（布设）优化问题，研究了基于人工鱼群算法（Artificial Fish Swarms Algorithm， AFSA）的电阻应变传感器布设优化方法。分析了智能仿生优化算法中应用较广泛的遗传算法（Genetic Algorithm， GA）、粒子群算法（Particle Swarm Optimization， PSO）、AFSA的优势与不足，初步确定以AFSA作为电阻应变传感器布设优化方法的核心算法；以机翼长桁含孔结构为研究对象进行有限元分析，确定了应力集中部位为关键部位；根据AFSA的基本原理构建了电阻应变传感器布设区域坐标系，进行传感器布设问题向人工鱼群游动规则的转化，以及电阻应变传感器布设位置的寻优分析；最后，以传感器覆盖面积、优化所用时间为指标，对GA、PSO、AFSA的优化结果分别进行评估，进一步验证了此方法的有效性。基于AFSA的电阻应变传感器布设优化方法实现了对电阻应变传感器布设位置的快速优化，可根据具体工况随时修改鱼群游动规则及传感器数量，实用性较强，为数字孪生、结构健康监测等系统构建过程中的传感器布设问题提供解决方案与技术参考。 |
| 英文摘要: |
| In order to solve the problem of sensor layout optimization in the process of structural digital twin system construction, structural health monitoring system construction and some structural key information acquisition, a resistance strain sensor layout optimization method based on artificial fish swarm algorithm（AFSA）was studied. The advantages and disadvantages of genetic algorithm（GA）, particle swarm optimization（PSO） and AFSA, which are widely used in intelligent bionic optimization algorithm, were analyzed, and the AFSA was preliminarily determined as the core algorithm of resistance strain sensor layout optimization method; Based on the finite element analysis of the wing truss structure with holes, the stress concentration part was determined as the key part; According to the basic principle of AFSA, the regional coordinate system of resistance strain sensor layout was constructed to transform the problem of sensor layout into the swimming rules of artificial fish swarm and to optimize the layout position of resistance strain sensors; Finally, the optimization results of GA, PSO and AFSA were evaluated by using sensor coverage and optimization time as indicators to further verify the effectiveness of this method. The layout optimization method of resistance strain sensors based on AFSA realizes the rapid optimization of the layout position of resistance strain sensors, and can modify the swimming rules of fish swarm and the number of sensors at any time according to the specific working conditions. It has strong practicality, and can provide solutions and technical references for the sensor layout problems in the construction of digital twins, structural health monitoring and other systems. |
|
| 中文关键词: 数字孪生 结构健康监测 布设优化 智能仿生优化算法 人工鱼群算法 |
| 英文关键词:digital twin structural health monitoring layout optimization intelligent biomimetic optimization algorithm AFSA |
| 基金项目: |
| DOI：10.11823/j.issn.1674-5795.2024.05.03 |
| 引用本文：于翀, 李博, 孟薇, 郭蔡果荟, 张鹤宇.基于AFSA的电阻应变传感器布设优化方法研究[J].计测技术,2024,44(5):. |
| 关闭 |
|
|
|
