Blending design of composite panels with lamination parameters

Jin, Pengfei; Zhong, Xiao‐Ping; Yang, Junbo; Sun, Zhong

doi:10.1017/aer.2016.88

Cited by 11 publications

(8 citation statements)

References 42 publications

(79 reference statements)

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“…7. This problem was first proposed by Soremekun et al [11] and subsequently studied in [1,7,17,[34][35][36][37].…”

Section: Resultsmentioning

confidence: 99%

“…This allows convenient application of the method to the optimization of large scale structures. The developed method is verified by its successful application to the well-known horseshoe panel optimization problem studied in [1,7,11,17,[34][35][36][37]. To investigate the performance of the method in dealing with a real problem, the proposed method is then applied to the layup optimization of a composite skin of a wing.…”

Section: Introductionmentioning

confidence: 98%

“…The majority of the algorithms dedicated to global optimization of blended stiffened composite structures are fully or partially dependent on evolutionary algorithms [1,7,12,17,[34][35][36][37], typically the GAs, to deal with the discrete nature of the variables in designing a composite laminate (the use of evolutionary algorithms for the optimization of stacking sequences is reviewed in [6,38]). However, a GA is generally more time consuming than a gradient-based algorithm as there is a large number of designs to be analyzed [2].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A level-set-based strategy for thickness optimization of blended composite structures

Nasab

Geijselaers

Baran

et al. 2018

Composite Structures

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An approach is presented for the thickness optimization of stiffened composite skins, which guarantees the continuity (blending) of plies over all individual panels. To fulfill design guidelines with respect to symmetry, covering ply, disorientation, percentage rule, balance, and contiguity of the layup, first a stacking sequence table is generated. Next, a level-set gradient-based method is introduced for the global optimization of the location of ply drops. The method aims at turning the discrete optimization associated with the integer number of plies into a continuous problem. It gives the optimum thickness distribution over the structure in relation to a specific stacking sequence table. The developed method is verified by application to the well-known 18-panel Horseshoe Problem. Subsequently, the proposed method is applied to the optimization of a composite stiffened skin of a wing torsion box. The problem objective is mass minimization and the constraint is local buckling.

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“…7. This problem was first proposed by Soremekun et al [11] and subsequently studied in [1,7,17,[34][35][36][37].…”

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A level-set-based strategy for thickness optimization of blended composite structures

Nasab

Geijselaers

Baran

et al. 2018

Composite Structures

View full text Add to dashboard Cite

show abstract

“…When the two individuals satisfy constraints, the one with lower object is the better; when just one of the individuals satisfies constraints, the one satisfying constraints is the better one; when neither of the two individuals satisfies constraints, the one with lower violation grade is the better one. 26 The characteristic of tournament GA is that the individual with better fitness has larger existing opportunity. It can avoid the influence of super individual, control selection pressure and balance evolution speed to overcome prematurity and stagnancy (see Figure 4 for frame of GA coupling with the model).…”

Section: Elitist Selectionmentioning

confidence: 99%

Optimal design of tapered composite structures with a dynamic boundary subset blending model

Zhang

Jin

2021

Proceedings of the Institution of Mechanical Engineers, Part G:

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Based on the classical bending rule that the plies composing the thinner region should be a subset of the ones of the thicker region for two adjacent laminates, a genetic algorithm–based dynamic boundary subset blending model is proposed to optimize the global stacking sequence of composite structures with ply-drops. Besides the stacking sequence chromosome of the guide laminate and ply number chromosome of each panel, a chromosome of a dynamic boundary subset factor is introduced for each panel to obtain a fully blended design. The lower and upper bounds of the dynamic boundary subset factor chromosome for each panel is determined by the ply number chromosomes of the panel and its adjacent panels. The stacking sequence of each panel can be determined by selection from combinations of various stacking sequences. The proposed blending model can solve the problem that laminates with identical thicknesses have the completely same layups even when they are not adjacent to each other. The optimal feasible designs outperform other published solutions for the 18-panel horseshoe configuration problem based on the classical bending rule.

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“…Carbon fibers are uniformly distributed in the matrix and bear the most loads, whereas the base bonds the carbon fibers together. In practical engineering structures, CFRP is usually designed as a multi-perspective and multilayer material to make full use of the load bearing of carbon fibers in all directions [1,2,3].…”

Section: Introductionmentioning

confidence: 99%

Research on Finite Element Model Modification of Carbon Fiber Reinforced Plastic (CFRP) Laminated Structures Based on Correlation Analysis and an Approximate Model

Zhang¹,

Yang²,

Du³

et al. 2019

Materials

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Carbon fiber reinforced plastic (CFRP) laminated structures have been widely used in modern engineering due to their excellent material properties, especially in the aerospace and shipping industries. This requires a high-accuracy finite element model of CFRP laminated structures. However, it is difficult to master the mechanical properties of CFRP structures comprehensively and accurately due to influences from multiple aspects, such as dispersion of material properties, uncertainty of manufacturing technologies, etc. Therefore, a finite element model modification method of CFRP laminated structures based on correlation analysis and an approximate model was proposed. Aiming at minimizing the difference between the analysis model and the measured inherent frequency, the proposed method improves the finite element modeling accuracy of CFRP laminated structures, by iterative optimization based on a global optimization algorithm. In order to solve the problem of high spatial dimension and slow searching in modification of CFRP laminated structure models, the Pearson correlation analysis method was used to screen the material parameters which exert significant impacts on frequency characteristics to reconstruct the searching space. Based on significance parameters, an approximate response model of the CFRP laminated structural system was established. Meanwhile, the modeling accuracy of different orders of response surface models (RSM) and a radial basis function (RBF) neural network model was analyzed, and the best approximate modeling scheme was obtained. The approximate model was updated based on the multi-island genetic algorithm (MIGA) to modify the finite element model of the CFRP laminated structure model. The maximum error and mean error of the updated model are 1.47% and 0.45%. It was proved that the material parameters modified by the proposed method are applicable to simulation analysis of the CFRP laminated structure.

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Blending design of composite panels with lamination parameters

Cited by 11 publications

References 42 publications

A level-set-based strategy for thickness optimization of blended composite structures

A level-set-based strategy for thickness optimization of blended composite structures

Optimal design of tapered composite structures with a dynamic boundary subset blending model

Research on Finite Element Model Modification of Carbon Fiber Reinforced Plastic (CFRP) Laminated Structures Based on Correlation Analysis and an Approximate Model

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