应用数学和力学2024，Vol.45Issue(1)：61-71,11.DOI:10.21656/1000-0887.440033
带襟翼导轨翼肋后缘尺寸-拓扑综合优化的摄动神经网络代理模型法
The Perturbation Neural Network Surrogate Model Method for Size-Topology Synthetical Optimization of Wing Rib Trailing Edges With Flap Tracks
谢川 1徐超 1周丹发 2姚卫星3
作者信息
- 1. 南京航空航天大学 航空航天结构力学及控制全国重点实验室,南京 210016
- 2. 上海机电工程研究所,上海 201109
- 3. 南京航空航天大学 航空航天结构力学及控制全国重点实验室,南京 210016||南京航空航天大学 飞行器先进设计技术国防重点学科实验室,南京 210016
- 折叠
摘要
Abstract
The design of wing rib trailing edges with flap tracks requires the determination of sizes of the rib edge strips,the webs and the topological shapes of the rib webs.Therefore,a perturbation neural network sur-rogate model method was proposed for the size-topology synthetical optimization.The basic idea is that,based on the sensitivity of topology optimization to parameters,the perturbation is introduced in the DOE samples to capture the topological mutation points by means of the filtering measure,and reduce the numerical noise,which greatly improves the prediction accuracy of the surrogate model.With the topology optimization process viewed as a black box,the surrogate model for the size variables and topology optimized structural responses was directly built up.Finally,optimization was carried out on the surrogate model to obtain the optimal combi-nation of structural sizes and topological shapes.A typical calculation example of wing rib trailing edge optimi-zation demonstrates the validity and superiority of the proposed method.关键词
摄动神经网络/尺寸优化/拓扑优化/代理模型/翼肋Key words
perturbation neural network/size optimization/topology optimization/surrogate model/wing rib分类
力学引用本文复制引用
谢川,徐超,周丹发,姚卫星..带襟翼导轨翼肋后缘尺寸-拓扑综合优化的摄动神经网络代理模型法[J].应用数学和力学,2024,45(1):61-71,11.
