An efficient reanalysis assisted optimization for variable-stiffness composite design by using path functions

An efficient reanalysis assisted optimization method is proposed for variable-stiffness composite design. The contour lines of functions can be used to describe fiber paths by using newly developed path functions. The parameters of path functions are used as design variables, and the initial objecti...

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Bibliographic Details
Published in:Composite structures 2016-10, Vol.153, p.409-420
Main Authors: Huang, Guanxin, Wang, Hu, Li, Guangyao
Format: Article
Language:English
Subjects:
Computing time
Design analysis
Design optimization
Fibers
Finite element method
Manufacturing constraints
Mathematical analysis
Mathematical models
Optimization
Path functions
Reanalysis
Variable-stiffness composite
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Summary:An efficient reanalysis assisted optimization method is proposed for variable-stiffness composite design. The contour lines of functions can be used to describe fiber paths by using newly developed path functions. The parameters of path functions are used as design variables, and the initial objective function is evaluated by using Finite Element Method (FEM). The variable-stiffness composite laminate is formulated using FEM based on Mindlin shell theory. Manufacturing constraints are considered by examining the curvature and parallelism of fiber paths, therefore, the optimal solutions should be manufacturable. In order to improve the efficiency of optimization, reanalysis methods are employed instead of popular surrogate models. Compared with the Surrogate Assisted Optimization (SAO), the advantage of reanalysis is that the error can be well controlled, thus the accuracy of optimization should be improved significantly. Two numerical examples are used to verify the performance of the proposed method. The comparison with the linear variation fiber orientation angles shows that the proposed method obtains better solutions by considering the manufacturing constraints simultaneously.
ISSN:0263-8223
1879-1085
DOI:10.1016/j.compstruct.2016.06.043