Carbon fiber reinforced plastics (CFRP) have the advantages of being light weight and having high strength, which means that they can be used to effectively realize the lightweight design of automobile components. In this paper, the original steel crossbeam of the twist beam rear axle of a passenger car is replaced by CFRP, and then the cross-section improvement design is implemented. The ply stacking sequence of the CFRP crossbeam is also optimized to enhance its structural performance. Considering the multiscale characteristics of CFRP, a multiscale analysis model of the CFRP crossbeam is established, and the effects of microscopic, mesoscopic and macroscopic structures and material parameters on the stiffness, maximum stress and vibration characteristics of the CFRP crossbeam are discussed. The multiscale propagation law of the random-interval mixed uncertain parameters of the CFRP crossbeam is studied by using the multiscale model. On this basis, the reliability optimization design model of CFRP crossbeam considering multiscale uncertainty is established, and the multiscale reliability optimization method of the CFRP crossbeam of twist beam axle based on approximate models, Monte Carlo simulation (MCS) and intelligent optimization algorithms is studied. The optimization method of the combination of the ply stacking sequence optimization and the multiscale reliability optimization of the CFRP structure is proposed, the mass is reduced by 46.96% while ensuring reliability, and other structural performances are improved. Meanwhile, a theoretical research basis and technical support for the design and development of CFRP suspension components are provided, and the application of CFRP in the automobile field is promoted.
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