In the present study, a method of optimizing the design of laminated composite with new genetic algorithm techniques, selection strategy and mutation operator, is proposed. Experiments are designed to minimize thickness (or weight) of midplane-symmetric composite laminate subject to in-plane loading, with fiber orientation and ply thickness chosen as design variables. To avoid spurious laminate designs, both the Tsai-Wu and the maximum stress criteria are taken to determine whether load-bearing capacity is exceeded or not. The state-of-art experiment results are obtained for some loading cases, related numerical results are presented under different cases. The simulation results clearly show that the proposed algorithm provide better or equivalent solutions for the design of laminated composites than work in related literature.
Generally, the clothing pressure is measured with the sensor set on the surface of the human body or the dummies. It is not possible to measure the clothing pressure without sewing process. We have developed the technology to simulate the clothing pressure without sewing clothing by using the numerical analysis technique. In this research, the numeric knitting model reported with the previous paper is used, and how to contact clothing pattern with sleeves to the human body model is described. Concretely, a temporary body is existed between the human body model and clothing pattern. After the clothing pattern can be contact to the temporary body, it can be contact the human body model. With this method, the clothing pressure values predicted using this computer simulation proved to be very close to the actually measured values. In this study, we show short-sleeved underwear.
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