Fast and robust Matlab-based finite element model used in the layup optimization of composite laminates

7th International Conference on Advanced Concepts in Mechanical Engineering

Serban, A.^1

Mechanical Engineering, Gheorghe Asachi Technical University of Iasi, Iasi, Romania^1

关键词: Closed form solutions;    Composite laminate;    Computational technique;    First-order shear deformation theory;    Linear system solver;    Mandatory requirement;    Optimization procedures;    Preprocessing phase;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/147/1/012103/pdf
DOI  :  10.1088/1757-899X/147/1/012103

来源: IOP

【 摘 要 】

The layup optimization of the laminated composites is a very complex topic which involves a convoluted solution space usually explored using heuristic computational techniques. Due to the solution space complexity a lot of layup configurations are evaluated during the optimization process. This fact leads to the mandatory requirement that the configuration evaluation should be fast enough to ensure the convergence of the optimization procedure without sacrificing the accuracy. In this work, we propose a robust, accurate and very fast finite element model based on the first-order shear deformation theory (FSDT). The model is structured in three main parts: preprocessing, processing and post processing. The main strategy is to transfer as much as possible operations in the preprocessing phase which is executed only once and to subsequently reuse the results in the processing and post processing phases which are executed for each layup configuration. Using this strategy, the execution time of the processing and post processing phases is drastically reduced and almost consists of regenerating and solving the global linear system - more that 95%. The proposed procedure is relatively easy to implement in Matlab which holds a very powerful linear system solver for sparse matrices. Also, the accuracy of the model was demonstrated by comparison with Ansys and with some closed form solutions.