OPTIMAL DESIGN OF RUDDER STRUCTURES BASED ON DATA-DRIVEN METHOD

被引：0

作者：

Shi G. ^{[1
,2
]}

Jia Y. ^{[1
]}

Hao W. ^{[1
]}

Wu W. ^{[1
]}

Li Q. ^{[2
]}

Lin Y. ^{[2
]}

Du Z. ^{[1
,3
]}

机构：

[1] State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Dalian University of Technology, Liaoning, Dalian

[2] Structural Design, Simulation and Engine Integration Technology Research Center, Beijing Electro‐Mechanical Engineering Institute, Beijing

[3] Ningbo Institute, Dalian University of Technology, Zhejiang, Ningbo

来源：

Lixue Xuebao/Chinese Journal of Theoretical and Applied Mechanics | 2023年 / 55卷 / 11期

关键词：

data driven; moving morphable component method; optimal design; rudder structures; topology optimization;

D O I：

10.6052/0459-1879-23-187

中图分类号：

学科分类号：

摘要：

In the field of aerospace engineering, there is a growing demand for lightweight design based on structural topology optimization; specifically, the rudder structures of many high-tech equipment serve in severe thermal and mechanical environments, and it is both challenging and important to carry out efficient lightweight design of them. For a given load, the stiffness of thin-walled structures can be significantly enhanced by introducing stiffening ribs or reinforcing stiffeners, and this design philosophy is well consistent with the design requirement of air rudders. However, traditional stiffening ribs design under an implicit topology optimization framework suffers from a huge number of design variables, low computational efficiency, difficulty in guaranteeing the geometric characteristics of stiffening ribs, and inconvenience in directly importing optimization results into CAD systems. In this study, a new explicit topology optimization method (i.e., moving morphable component (MMC) method) is adopted, and combined with the data-driven methodology for efficient design of stiffening ribs in air rudders with irregular closed geometry. This method directly optimizes the geometric information of the stiffening ribs, and has the advantages of fewer design variables, high computational efficiency, and seamless connection between the optimization results and CAD software, so as to solve the issues of long optimization cycle and strong dependence on the experience of designers faced with the implicit topology optimization method and subsequent redundant steps such as model reconstruction and parameter optimization. Furthermore, the mapping between rib layout and key mechanical properties is described through an artificial neural network model, and used as a surrogate model for optimization to efficiently obtain high-quality initial designs, thus significantly improving the efficiency of the design optimization of rudder structures. The design framework presented integrates the structural topology optimization with artificial neural network model, which can be applied to the intelligent design of other key equipment. © 2023 Chinese Journal of Theoretical and Applied Mechanics Press. All rights reserved.

引用

页码：2577 / 2587

页数：10

共 32 条

[1]

Aage N, Andreassen E, Lazarov BS, Et al., Giga-voxel computational morphogenesis for structural design, Nature, 550, pp. 84-86, (2017)

[2]

Quan Dongliang, Shi Guanghui, Guan Chengqi, Et al., Applications and challenges of structural optimization in highspeed aerocraft, Mechanics in Engineering, 41, 4, pp. 373-381, (2019)

[3]

Feng Zhigao, Guan Chengqi, Zhang Hongwen, An Introduction to Hypersonic Aircraft, (2016)

[4]

Inoue K, Yamanaka M, Kihara M., Optimum stiffener layout for the reduction of vibration and noise of gearbox housing, Journal of Mechanical Design, 124, pp. 518-523, (2002)

[5]

Afonso S, Sienz J, Belblidia F., Structural optimization strategies for simple and integrally stiffened plates and shells, Engineering Computations, 22, 4, pp. 429-452, (2015)

[6]

Chen B, Liu G, Kang J, Et al., Design optimization of stiffened storage tank for spacecraft, Structural and Multidisciplinary Optimization, 36, pp. 83-92, (2008)

[7]

Ansola R, Canales J, Tarrago JA, Et al., Combined shape and reinforcement layout optimization of shell structures, Structural and Multidisciplinary Optimization, 27, pp. 219-227, (2014)

[8]

Ansola R, Canales J, Tarrago JA, Et al., An integrated approach for shape and topology optimization of shell structures, Computers & Structures, 80, pp. 449-458, (2002)

[9]

Song L, Gao T, Tang L, Et al., An all-movable rudder designed by thermo-elastic topology optimization and manufactured by additive manufacturing, Computers & Structures, 243, (2021)

[10]

Wang C, Zhu J, Wu M, Et al., Multi-scale design and optimization for solid-lattice hybrid structures and their application to aerospace vehicle components, Chinese Journal of Aeronautics, 34, pp. 386-398, (2021)

← 1 2 3 4 →