An Optimization Approach for Stiffener Layout of Composite Stiffened Panels Based on Moving Morphable Components (MMCs)
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ISSN 1860-2134
An Optimization Approach for Stiffener Layout of Composite Stiffened Panels Based on Moving Morphable Components (MMCs) Zhi Sun1
Ronghua Cui1
Tianchen Cui1
Chang Liu1
Shanshan Shi2
Xu Guo1
1
( State Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, International Research Center for Computational Mechanics, Dalian University of Technology, Dalian 116023, China) (2 Institute of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian 116028, China)
Received 15 September 2019; revision received 16 February 2020; Accepted 25 February 2020 c The Chinese Society of Theoretical and Applied Mechanics 2020
ABSTRACT An explicit topology optimization method for the stiffener layout of composite stiffened panels is proposed based on moving morphable components (MMCs). The skin and stiffeners are considered as panels with different bending stiffnesses, with the use of equivalent stiffness method. Then the location and geometric properties of composite stiffeners are determined by several MMCs to perform topology optimization, which can greatly simplify the finite element model. With the objective of maximizing structural stiffness, several typical cases with various loading and boundary conditions are selected as numerical examples to demonstrate the proposed method. The numerical examples illustrate that the proposed method can provide clear stiffener layout and explicit geometry information, which is not limited within the framework of parameter and size optimization. The mechanical properties of composite stiffened panels can be fully enhanced.
KEY WORDS Topology optimization, Composite stiffened panels, Stiffener layout, Moving morphable components (MMCs)
1. Introduction Composite stiffened panels, with the advantages of high specific strength and specific stiffness, are widely used in the fields of aircraft, aerospace, automobile and others [1–4]. However, structural deformation failure is still one of the most common failure modes, due to overloading, flutter and so on. Therefore, optimized design of composite stiffened panels has gained wide attention, aiming to improve structural stiffness and reduce structural weight at the same time [5, 6]. In the past decades, one common practice in optimization of composite stiffened panels is heuristic algorithm-based size optimization methods [7–12], such as genetic algorithm (GA) and ant colony algorithm (ACA). Lanzi and Giavotto [7] proposed a multi-objective optimization approach for composite stiffened panels considering post-buckling constraints. Moreover, a comparison was made between three global approximation methods, i.e., neural networks, radial basis function and Kriging approximation. Montemurro et al. [8] used GA to seek best stacking sequences for a wing box stiffened panel with
Corresponding authors. E-mails: [email protected]; [email protected]
ACTA MECHANICA SOLIDA SINICA
nonidentical stiffeners. Fu et al. [9] integrated neural network with GA to minimize structural weight. Wang et al. [
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