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Optimal design of the frontal protection system of a car is considered. The study is focused on design of the fastening components. A simple theoretical estimate on deformation energy is given. The car-pedestrian collision situation is analyzed by use of the LS-DYNA explicit solver. Corresponding stiffness analysis is performed by use of the LS-DYNA implicit solver. The approximation of the objective and constraint functions is modeled by use of artificial neural network (NN) and search for an optimal design is performed by use of a genetic algorithm (GA). The obtained numerical results are validated against experimental test results. [ABSTRACT FROM AUTHOR]

Abstract: The objective of the current study is the optimization of the structure and manufacturing processes of large composite plastic parts. The main attention is paid to strengthening of plastic preformed shell by adding variable thickness glass–fiber composite layers and optimizing the material concentrations of the reinforcement layer. The final properties of the part are determined by minimizing the cost and production time simultaneously. The multistage optimization procedure has been applied. According to this approach, the solution of the posed optimization problem has been decomposed into FEA (including free size optimization), meta-modeling and global optimization. Multiple criteria analysis (MCA) is used for evaluating decision options against multiple criteria. Search for global optimum has been performed using of genetic algorithm. The solution has been implemented in MATLAB code. The product family of the composite plastic bathtub, together with the derivate products and their production technologies, is designed using proposed methodology. [Copyright &y& Elsevier]