Optimization of composite sandwich panel against impact using genetic algorithm

2010 ◽  
Vol 37 (6) ◽  
pp. 599-604 ◽  
Author(s):  
Mehdi Kalantari ◽  
Mohammad Rahim Nami ◽  
Mohammad Hasan Kadivar
Keyword(s):  
Genetic Algorithm ◽  
Sandwich Panel ◽  
Composite Sandwich

scholarly journals Multi-Criteria Optimization of Energy-Efficient Cementitious Sandwich Panels Building Systems Using Genetic Algorithm

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 6001
Author(s):  
Ehsan Mirnateghi ◽  
Ayman S. Mosallam
Keyword(s):  
Genetic Algorithm ◽  
Optimum Design ◽  
Energy Efficient ◽  
Sandwich Panel ◽  
Sandwich Panels ◽  
Optimization Techniques ◽  
Pareto Optimal ◽  
Cementitious Composite ◽  
Composite Sandwich Panels ◽  
Composite Sandwich

This paper presents results of a study that focuses on developing a genetic algorithm (GA) for multi-criteria optimization of orthotropic, energy-efficient cementitious composite sandwich panels (CSP). The current design concept of all commercially produced CSP systems is based on the assumption that such panels are treated as doubly reinforced sections without the consideration of the three-dimensional truss contribution of the orthotropic panel system. This leads to uneconomical design and underestimating both the strength and stiffness of such system. In this study, two of the most common types of commercially produced sandwich were evaluated both numerically and experimentally and results were used as basis for developing a genetic algorithm optimization process using numerical modeling simulations. In order to develop a sandwich panel with high structural performance, design optimization techniques are needed to achieve higher composite action, while maintaining the favorable features of such panels such as lightweight and high thermal insulation. The study involves both linear and nonlinear finite element analyses and parametric optimization. The verification and calibration of the numerical models is based on full-scale experimental results that were performed on two types of commercially produced sandwich panels under different loading scenarios. The genetic algorithm technique is used for optimization to identify an optimum design of the cementitious composite sandwich panels. The GA technique combines Darwin’s principle of survival of fittest and a structured information exchange using randomized crossover operators to evolve an optimum design for the cementitious sandwich panel. Parameters evaluated in the study include: (i) shear connectors’ geometry, its volume fraction and distribution; (ii) exterior cementitious face sheets thickness and (iii) size and geometry steel wires reinforcements. The proposed optimization method succeeded in reducing cost of materials of CSP by about 48% using genetic algorithm methodology. In addition, an optimized design for CSP is proposed that resulted in increasing the panel’s thermal resistance by 40% as compared to existing panels, while meeting ACI Code structural design criteria. Pareto-optimal front and Pareto-optimal solutions have been identified. Correlation between the design variables is also verified and design recommendation are proposed.

Compression Test of Composite Sandwich Panel

2007 ◽  
pp. 605-608
Author(s):  
Jong Woong Lee ◽  
Cheol Won Kong ◽  
Se Won Eun ◽  
Jae Sung Park ◽  
Young Soon Jang ◽  
...  
Keyword(s):  
Compression Test ◽  
Sandwich Panel ◽  
Composite Sandwich

Bending response and failure mechanism of composite sandwich panel with Y-frame core

2019 ◽  
Vol 145 ◽  
pp. 106387 ◽  
Author(s):  
Jialin Liu ◽  
Zhenping He ◽  
Jiayi Liu ◽  
Wei Huang
Keyword(s):  
Failure Mechanism ◽  
Sandwich Panel ◽  
Composite Sandwich ◽  
Bending Response

scholarly journals Morphing nacelle inlet lip with pneumatic actuators and a flexible nano composite sandwich panel

2015 ◽  
Vol 24 (12) ◽  
pp. 125018 ◽  
Author(s):  
Nazli Gulsine Ozdemir ◽  
Fabrizio Scarpa ◽  
Monica Craciun ◽  
Chrystel Remillat ◽  
Cristian Lira ◽  
...  
Keyword(s):  
Sandwich Panel ◽  
Nano Composite ◽  
Pneumatic Actuators ◽  
Composite Sandwich

Flexural behavior of composite sandwich panel of aluminum foam and epoxy resin

2017 ◽  
Vol 6 (2) ◽  
pp. 276-284
Author(s):  
Shuliang Cheng ◽  
Xuya Zhao ◽  
Xiaoman Liu ◽  
Wei Yu ◽  
Yajun Xin
Keyword(s):  
Epoxy Resin ◽  
Aluminum Foam ◽  
Sandwich Panel ◽  
Flexural Behavior ◽  
Composite Sandwich

Optimum Stacking Sequence Design of Composite Sandwich Panel Using Genetic Algorithms

2012 ◽  
Vol 585 ◽  
pp. 29-33
Author(s):  
Amarpreet S. Bir ◽  
Hsin Piao Chen ◽  
Hsun Hu Chen
Keyword(s):  
Genetic Algorithms ◽  
Sandwich Panel ◽  
Compressive Loading ◽  
Face Sheet ◽  
Composite Sandwich ◽  
Minimization Problems ◽  
The Face ◽  
Coupling Terms ◽  
Laminate Thickness ◽  
Buckling Load Maximization

In the present study, both critical buckling load maximization and face-sheet laminate thickness minimization problems for the composite sandwich panel, subjected to bi-axial compressive loading under various imposed constraints have been investigated using genetic algorithms. In the previously published work, the optimization of simple composite laminate panels with only even number of laminae has been considered [1, 3]. The present work allows the optimization of a composite sandwich panel with both even and odd number of laminae in the face-sheet laminates. Also, the effects of the bending-twisting coupling terms (D16and D26) in bending stiffness matrix which were neglected in the previous studies [1, 2, 3], are considered in the present work for exact solutions. In addition effect of both balanced and unbalanced face-sheet laminates on the optimum solutions have also been investigated, whereas only balanced laminates were considered in the previous studies [1, 2, 3].

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