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The Optimal Design of Composite Energy Absorptions with Multiple Cell Sections

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Abstract (2. Language): 
In this paper the axial impact crushing behavior of the composite tubes are studied by the finite element method using commercial software ABAQUS. Two meta-models based on the evolved group method of data handling (GMDH) type neural networks are then obtained for modeling of both the absorbed energy (E) and the peak crushing force (F max) with respect to geometrical design variables using the training and testing data obtained from the finite element modeling. Using such obtained polynomial neural network models, the multi-objective GA is used for the Pareto-based optimization of the composite tubes considering three conflicting objectives: energy absorption, weight of structure, and peak crushing force. Further evaluations of the design points in the obtained Pareto fronts using the finite element method show the effectiveness of such approach. Moreover, it is shown that some interesting and important relationships as useful optimal design principles involved in the performance of the composite tubes can be discovered by the Pareto-based multi-objective optimization of the obtained polynomial meta-models.
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