Nonlinear connection layer modeling and parametric identification for single bolt connected beam

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Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (1) : 190-197.

LIU Pengtao, GUAN Tianci, WANG Xiaopeng

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Abstract

Aiming at the problem that the linear equivalent model of bolted joint layer can not characterize the dynamic behavior of the joint after entering the micro slip state, the linear equivalent model of bolted joint layer is improved by using Voce constitutive relationship to characterize the nonlinear dynamic behavior of bolted joint. Taking the single bolt connection beam as the research object, the influence of different pre tightening torques on its natural frequency was investigated experimentally, and the frequency response function under different amplitude harmonic excitation force was tested. The four nonlinear parameters of the equivalent model of the connection layer were identified by genetic algorithm，including initial yield stress, tangent modulus and two shape parameters. After identifying the parameters, the error between the calculated value of the model frequency response function and the experimental value is less than 10%, which shows the accuracy and feasibility of the improved model. The improved equivalent model of connecting layer can be used to predict the nonlinear behavior of assembly structure.
Key words: bolted joint; parameter identification; nonlinear; connective layer model

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bolted joint / parameter identification / nonlinear / connective layer model

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LIU Pengtao, GUAN Tianci, WANG Xiaopeng. Nonlinear connection layer modeling and parametric identification for single bolt connected beam[J]. Journal of Vibration and Shock, 2023, 42(1): 190-197

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