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Carbon Fiber Reinforced Plastic Fatigue Performance Prediction and#br#
Application Based on Kriging Surrogate Model |
JI Qinghui,ZHU Ping,LU Jiahai,LIU Zhao |
State Key Laboratory of Mechanical System and Vibration;
Shanghai Key Laboratory of Digital Manufacture for ThinWalled Structures,
Shanghai Jiao Tong University, Shanghai 200240, China |
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Abstract Mechanical properties of plain weave carbon fiber reinforced plastic (CFRP) composite were studied by static and fatigue experiments. The new Haigh diagram model was established by using Kriging interpolation method and Basquin formulation. The model can predict SN curves under random loading conditions. And those curves were used as constraints of optimization design. The surrogate modes of optimization object and constraint were established using optimal Latin hypercube design (OLHD) of experiment and Kriging model. The shell thicknesses of power battery pack of electric vehicle were obtained by genetic algorithm. The optimized results were verified through fatigue bench testing. The weight of optimized structure reduced 34.39%.
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Published: 28 February 2017
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