Optimum stacking sequence design of composite materials Part II: Variable stiffness design

Ghiasi, Hossein; Fayazbakhsh, Kazem; Pasini, Damiano; Lessard, Larry

doi:10.1016/j.compstruct.2010.06.001

Cited by 347 publications

(126 citation statements)

References 102 publications

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“…Designing such laminates for various strength and stiffness requirements involves an integerprogramming problem for selecting the best number of plies of each orientation, and then determining an optimal stacking sequence. An extensive review of the topic can be found in recent paper by Ghiasi et al (2009Ghiasi et al ( , 2010 and the earlier paper by Venkataraman and Haftka (1999). It showed that two main scenarios are classified: constant stiffness (the stacking sequence is uniform for the entire structure) and variable stiffness (material distribution and fiber orientation might change over the structural domain).…”

Section: Introductionmentioning

confidence: 99%

Stacking sequence optimization with genetic algorithm using a two-level approximation

Chen

Lin

et al. 2013

Struct Multidisc Optim

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We propose a new method for laminate stacking sequence optimization based on a two-level approximation and genetic algorithm (GA), and establish an optimization model including continuous size variables (thicknesses of plies) and discrete variables (0/1 variables that represent the existence of each ply). To solve this problem, a first-level approximate problem is constructed using the branched multipoint approximate (BMA) function. Since mixed-variables are involved in the first-level approximate problem, a new optimization strategy is introduced. The discrete variables are optimized through the GA. When calculating the fitness of each member in the population of GA, a second-level approximate problem that can be solved by the dual method is established to obtain the optimal thicknesses corresponding to the each given ply orientation sequence. The two-level approximation genetic algorithm optimization is performed starting from a ground laminate structure, which could include relatively arbitrarily discrete set of angles. The method is first applied to cylindrical laminate design examples to demonstrate its efficiency and accuracy compared with known methods. The capacity of the optimization strategy to solve more complex problems is then demonstrated using a design example. With the presented method, the stacking sequence in analytical tools can be directly taken as design variables and no intermediate variables need be adopted.

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Section: Introductionmentioning

confidence: 99%

Stacking sequence optimization with genetic algorithm using a two-level approximation

Chen

Lin

et al. 2013

Struct Multidisc Optim

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“…on drilled holes or cut outs. Based on this principle, optimization algorithms were developed allowing the alignment of fibers into the directions of principal stresses [16] [17]. Since the fiber component has the highest young's modulus and strength in the longitudinal direction, the FRP component is gradually optimized by the specific arrangement of reinforcing fibers.…”

Section: Bionic Optimization Of Frpmentioning

confidence: 99%

Dimensioning of Punctiform Metal-Composite Joints: A Section-Force Related Failure Criterion

Seidlitz¹,

Ulke-Winter²,

Gerstenberger³

et al. 2014

OJCM

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Reliable line production processes and simulation tools play a central role for the structural integration of thermoplastic composites in advanced lightweight constructions. Provided that material-adapted joining technologies are available, they can be applied in heavy-duty multi-material designs (MMD). A load-adapted approach was implemented into the new fully automatic and faulttolerant thermo mechanical flow drill joining (FDJ) concept. With this method it is possible to manufacture reproducible high strength FRP/metal-joints within short cycle times and without use of extra joining elements for the first time. The analysis of FDJ joints requires a simplified model of the joint to enable efficient numerical simulations. The present work introduces a strategy in modeling a finite-element based analogous-approach for FDJ-joints with glass fiber reinforced polypropylene and high-strength steel. Combined with a newly developed section-force related failure criterion, it is possible to predict the fundamental failure behavior in multi-axial stress states. The functionality of the holistic approach is illustrated by a demonstrator that represents a part of a car body-in-white structure. The comparison of simulated and experimentally determined failure loads proves the applicability for several combined load cases.

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“…Ghiasi et al [6] presented a thorough review of dierent optimization techniques for the design of variable stiness composite plates, in which it is concluded that the multi-level optimization method is recommended due to its highly computational eciency. Setoodeh et al [7] used a reciprocal approximation method to design VAT plates for maximum buckling load and used nite element nodal ber angles as design variables.…”

Section: Introductionmentioning

confidence: 99%

Framework for the Buckling Optimization of Variable-Angle Tow Composite Plates

2015

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The variable angle tow (VAT) technique allows bers to be steered curvilinearly.In doing so, it oers substantially enlarged freedom for stiness tailoring of composite laminates. Prior work has shown that VAT composite structures can have improved buckling and postbuckling load carrying capability when compared to straight ber composites. However, their structural analysis and optimal design is signicantly more computationally expensive than conventional laminates due to the exponential increase in number of variables associated with spatially varying planar ber orientations in addition to the usual stacking sequence considerations. In this work, an ecient two-level optimization framework using lamination parameters as design variables has been enhanced and generalised to the design of VAT plates. At the rst level, a computationally ecient Rayleigh-Ritz model is adopted to compute the buckling load of VAT plates and is used with a globally convergent gradient-based algorithm (GCMMA) to determine the optimal distribution of lamination parameters. As a result of this analysis, new explicit stiness matrices are found in terms of component material invariants and lamination parameters. The spatial variation of lamination parameters over the planform of VAT plates is represented in the form of B-splines.The convex hull property of B-splines ensures the point-wise feasibility of lamination parameters, and notably, ensures feasibility between control points as well as at them.

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Optimum stacking sequence design of composite materials Part II: Variable stiffness design

Cited by 347 publications

References 102 publications

Stacking sequence optimization with genetic algorithm using a two-level approximation

Stacking sequence optimization with genetic algorithm using a two-level approximation

Dimensioning of Punctiform Metal-Composite Joints: A Section-Force Related Failure Criterion

Framework for the Buckling Optimization of Variable-Angle Tow Composite Plates

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