Study On Performance Degradation And Life Of T-type Wire Rope Isolator

The complex service environment of aviation and military facilities such as air signal generators,radar seats,submarines,missile ships,etc.,requires more and more high-performance isolators such as shock attenuation,high structural damping,and low resonance amplification.The stiffness and damping of wire rope isolators are nonlinear,so they are widely used in various engineering fields.The traditional wire rope isolator’s design is to count a large number of sample data through experiments.Obtained the performance index of different structural parameters of the wire rope isolator under the impact load and formed a series of products according to the structural parameters.The user can only choose the isolator from the series of products.With the progress of industrial intelligence,equipment is becoming minor and more significant.More and more new vibration isolation materials occurred,which put forward higher requirements on the design and manufacture of vibration isolators.The traditional design evaluation method obtains the appropriate design allowable value through the experiment and carries complete verification.It causes the product design cycle is long and the cost is high.Simultaneously,the experimental sample size is limited by the functional space of the experimental equipment.The traditional method is more and more challenging to adapt to the development needs of the isolator structure.Besides,it is difficult to observe the structural damage of the wire rope isolator in the course of use.If the structural damage to the isolator can be found in time,the equipment can be protected.It will cause damage to the equipment as well.Expect a proper design and selection process.The remaining life of the isolator needs to be monitored.Wire rope isolators can be replaced promptly by evaluating the remaining life.In order to study the effects of geometry parameters on vibration isolation,according to the vibration isolator’s preparation methods,establish trajectory model for describing the three spiral structure,accurately describe the geometric structure of isolator.The model calculated the curvature and deflection by using MATLAB software.Analyze the risk position of the isolator working section through finite element modeling and simulation analysis.The isolation performance indexes of different structural parameters are calculated.The isolation ability is explored by changing the lead,screw diameter and the equivalent section diameter of the rope strand.The research results can guide the design and selection of the wire rope vibration isolator.To ensure the safety of the isolator in service,derived the dynamic equation of the wire rope isolator considering hysteretic displacement.The prediction model of the BWBN system is given.The fatigue test and the impact test are finished,respectively.The degradation law of structural stiffness,energy dissipation capacity,and transfer rate of the wire rope isolator is obtained.It is found that in the initial fatigue stage,the degradation process of the material occurs first hardening and then softening,and then enters the cyclic hardening process of the structure.The stiffness degradation law modified the BWBN model’s parameters,and the response of the wire rope isolator is predicted during the life cycle.Based on probabilistic analysis,it is found that both the stiffness degradation law and the failure life of the vibration isolator obey the Weibull distribution.By calculating the Weibull distribution model’s reliability model of the failure life of 10 samples,the predicted value of the state life of the same batch of products is obtained.The probability distribution of the life of the wire rope isolator is given.A BP neural network model with characteristic damage parameters as influencing factors is established.The state life of the wire rope isolator is divided into three stages according to transfer rate,and the predicted results are evaluated with the status evaluation value.A genetic algorithm was used to optimize the BP neural network prediction model.The relative error before and after optimization is less than10%,which realized the precise management of isolator life.