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The wirerope vibration isolator represents a type of nonlinear hysteretic damping component. The hysteretic constitutive relation between restoring force and deformation is complex and the dynamics modeling is difficult. A method was proposed in order to conduct neural network hybrid modeling of hysteretic restoring force based on analysis of the dynamics features of nonlinear wirerope vibration isolators. It was learnt through experimentation and simulation results under random excitation that the constructed model has fast training rate, small calculation amount, and strong generalization ability. In addition, some parameters of the knowledge-based model have physical meaning, which allow it to provide references for the structural design and simulation of vibration isolation systems.
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