Buckling optimization design of curved stiffeners for grid-stiffened composite structures

2017 ◽  
Vol 159 ◽  
pp. 656-666 ◽  
Author(s):  
Dan Wang ◽  
Mostafa M. Abdalla ◽  
Weihong Zhang
Keyword(s):  
Composite Structures ◽  
Optimization Design ◽  
Buckling Optimization

Optimization for the Maximum Buckling Loads of Laminated Composite Plates – Comparison of Various Design Methods

2007 ◽  
Vol 334-335 ◽  
pp. 89-92 ◽  
Author(s):  
Shinya Honda ◽  
Yoshihiro Narita ◽  
Katsuhiko Sasaki
Keyword(s):  
Composite Structures ◽  
Orientation Angle ◽  
Laminated Composite ◽  
Composite Plates ◽  
Laminated Composite Plates ◽  
Advantages And Disadvantages ◽  
Optimum Parameters ◽  
Plate Elements ◽  
Buckling Optimization ◽  
Fiber Orientation Angle

Structural plate elements in composite structures are typically fabricated by stacking orthotropic layers, each of which is composed of reinforcing fibers and matrix materials. In this work, three optimum design approaches are compared to clarify the advantages and disadvantages for optimizing the buckling performance of laminated composite plates. The first approach is developed recently by the authors, where the buckling load is maximized with respect to the lamination parameters by a gradient method and then the optimum lay-up design is determined by minimizing the errors between the optimum parameters and parameters for all possible discrete lay-ups. The second approach is the layerwise optimization (LO) approach where the fiber orientation angle in each layer is optimized step-by-step by repeating one dimensional search. The third one is a direct application of a simple genetic algorithm (SGA). In numerical examples, three sets of results are compared to discuss on the methodology for buckling optimization.

Optimization Design for Laminated Composite Structure Based on Kriging Model

2012 ◽  
Vol 217-219 ◽  
pp. 179-183
Author(s):  
Wen Guo Zhu ◽  
Zhi Jun Meng ◽  
Jun Huang ◽  
Wei He
Keyword(s):  
Composite Structures ◽  
Optimization Design ◽  
Minimum Weight ◽  
Laminated Composite ◽  
Kriging Model ◽  
Optimization Method ◽  
Optimization Strategy ◽  
Laminated Composite Structures ◽  
Sample Points ◽  
Optimization Efficiency

An effective optimization method is developed for laminated composite structures using two-level optimization strategy based on Kriging model and genetic algorithm (GA). Firstly, the design of experiment (DOE) technique is used to create sample points and MSC.Nastran is employed to obtain the response (minimum weight subjected to bulking and strength constraints) of each sample point. Based on sample points and the corresponding responses, the Kriging model is formulated. Secondly, GA is performed to obtain the best thickness by optimizing the Kriging model as objective function. Then, the best stacking sequence is obtained basing on lamination parameters using GA. This paper takes a Z shape composite stiffened plate as example to verify the feasibility of the method above. The results illustrate that it can significantly save computational costs and can greatly improve the optimization efficiency.

Investigation and multi-scale optimization design of woven composite cut-out structures

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Duc Hai Nguyen ◽  
Hu Wang ◽  
Fan Ye ◽  
Wei Hu
Keyword(s):  
Mechanical Properties ◽  
Composite Structures ◽  
Optimization Design ◽  
Material Behavior ◽  
Efficient Global Optimization ◽  
Support Vector ◽  
Woven Composite ◽  
Content Type ◽  
Multi Scale ◽  
Ply Orientation

Purpose The purpose of this paper is to investigate the mechanical properties’ behaviors of woven composite cut-out structures with specific parameters. Because of the complexity of micro-scale and meso-scale structure, it is difficult to accurately predict the mechanical material behavior of woven composites. Numerical simulations are increasingly necessary for the design and optimization of test procedures for composite structures made by the woven composite. The results of the proposed method are well satisfied with the results obtained from the experiment and other studies. Moreover, parametric studies on different plates based on the stacking sequences are investigated. Design/methodology/approach A multi-scale modeling approach is suggested. Back-propagation neural networks (BPNN), radial basis function (RBF) and least square support vector regression are integrated with efficient global optimization (EGO) to reduce the weight of assigned structure. Optimization results are verified by finite element analysis. Findings Compared with other similar studies, the advantage of the suggested strategy uses homogenized properties behaviors with more complex analysis of woven composite structures. According to investigation results, it can be found that 450/−450 ply-orientation is the best buckling load value for all the cut-out shape requirements. According to the optimal results, the BPNN-EGO is the best candidate for the EGO to optimize the woven composite structures. Originality/value A multi-scale approach is used to investigate the mechanical properties of a complex woven composite material architecture. Buckling of different cut-out shapes with the same area is surveyed. According to investigation, 45°/−45° ply-orientation is the best for all cut-out shapes. Different surrogate models are integrated in EGO for optimization. The BPNN surrogate model is the best choice for EGO to optimization difficult problems of woven composite materials.

Reliability-based design optimization of 3D orthogonal woven composite automobile shock tower

2021 ◽  
pp. 002199832110476
Author(s):  
Zhao Liu ◽  
Lei Zhang ◽  
Ping Zhu ◽  
Mushi Li
Keyword(s):  
Design Optimization ◽  
Composite Structures ◽  
Optimization Design ◽  
Optimization Procedure ◽  
Woven Composite ◽  
Reliability Based Design Optimization ◽  
Multi Scale ◽  
Reliability Based Design ◽  
Design Variables ◽  
3D Orthogonal Woven

Three-dimensional orthogonal woven composites are noted for their excellent mechanical properties and delamination resistance, so they are expected to have promising prospects in lightweight applications in the automobile industry. The multi-scale characteristics and inherent uncertainty of design variables pose great challenges to the optimization procedure for 3D orthogonal woven composite structures. This paper aims to propose a reliability-based design optimization method for guidance on the lightweight design of 3D orthogonal woven composite automobile shock tower, which includes design variables from material and structure. An analytical model was firstly set up to accurately predict the elastic and strength properties of composites. After that, a novel optimization procedure was established for the multi-scale reliability optimization design of composite shock tower, based on the combination of Monte Carlo reliability analysis method, Kriging surrogate model, and particle swarm optimization algorithm. According to the results, the optimized shock tower meets the requirements of structural performance and reliability, with a weight reduction of 37.83%.

scholarly journals Identification of the Anisotropic Elastic Parameters of NiCrAlY Coating by Combining Nanoindentation and Finite Element Method

2019 ◽  
Vol 2019 ◽  
pp. 1-13
Author(s):  
Jingyu Zhai ◽  
Yugang Chen ◽  
Xinyuan Song ◽  
Hongchun Wu ◽  
Qingkai Han
Keyword(s):  
Finite Element ◽  
Composite Structure ◽  
Composite Structures ◽  
Optimization Design ◽  
Hard Coatings ◽  
Hard Coating ◽  
Small Scale ◽  
Elastic Parameters ◽  
Accurate Identification ◽  
Anisotropic Elastic

For vibration damping, coatings are prepared on surface of the structures (substrates), which constitute the coating-substrate composite structures. Elastic parameters of the coating are indispensable for the vibration and damping analysis of the composite structure. Due to the small scale of coating thickness and elastic difference compared with the substrate, the identification results are inevitably influenced by the existence of substrate. Moreover, resulting from the preparation process, elastic properties of hard coating often exhibit anisotropic properties. All the above factors bring about the difficulties of accurate identification. In this study, a method for identifying anisotropic elastic parameters of hard coatings considering substrate effect is proposed, by combining nanoindentation and finite element analysis. Based on the identification results, finite element models are established to analyze the vibration characteristics of the coating-substrate composite structure, which verify the rationality of the anisotropic elastic parameters for vibration analysis. The studies in this paper are significant to more accurately identify the mechanical parameters for establishing the dynamic model. Moreover, they lay the foundation for further optimization design of hard coating damping.

scholarly journals Optimization Design System for Composite Structures Based on Grid Technology

2007 ◽  
Vol 20 (1) ◽  
pp. 55-59 ◽  
Author(s):  
Wen-yuan CHENG ◽  
Yan CHANG ◽  
De-gang CUI ◽  
Xiang-hui XIE
Keyword(s):  
Composite Structures ◽  
Optimization Design ◽  
Design System ◽  
Grid Technology

scholarly journals Buckling optimization of blended composite structures using lamination parameters

2020 ◽  
Vol 154 ◽  
pp. 106861 ◽  
Author(s):  
Xiaoyang Liu ◽  
Carol A. Featherston ◽  
David Kennedy
Keyword(s):  
Composite Structures ◽  
Lamination Parameters ◽  
Buckling Optimization
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