Parameter Identification And Fatigue Simulation Of Rubber Bushings

Rubber materials are widely used because of their advantages such as low price,reliable performance,and mature processing technology.Due to the characteristics of superelasticity,nonlinearity and large deformation of rubber materials,it is generally necessary to complete a variety of basic tests to study the static mechanical properties of rubber materials,but the equipment required for these tests is expensive and these tests' period is very long.It is difficult for most companies to complete all basic tests for each rubber material.Therefore,in engineering applications,only part of the basic test data can be used to fit the constitutive parameters.In this case,how to obtain a more accurate constitutive model and constitutive parameters is an important problem that needs to be solved during the simulation analysis of rubber materials.This paper is mainly to study how to obtain higher-precision constitutive parameters when there is only part or no rubber basic test data.First,the constitutive parameters of the rubber material of a rubber bushing are obtained through software fitting,then the Yeoh constitutive model is selected,and based on this constitutive model,automatic identification is performed to obtain more accurate constitutive parameters.At last,the fatigue life of this rubber bushing is predicted,and the service life of the rubber bushing under multi-axial load is obtained.1.This article will complete some basic tests of rubber materials based on the static mechanical properties of rubber materials,and use the ABAQUS software to fit most constitutive models based on the test results.After calculating the deviation between the stress-strain curves of the simulated and tested materials of each fitted constitutive model,consider the deviation value and the number of constitutive parameters,the Yeoh constitutive model was selected as the constitutive model for the later study of rubber materials and rubber bushings.2.Due to the expensive basic mechanical test equipment of rubber materials and the long test period,the test data of the biaxial tensile test has not been obtained in this project,so the accuracy of the fitted results may not be high.This article will also use the method of optimizing and identifying the parameters of the constitutive model to improve the accuracy of fitting rubber materials.There are two main schemes for the optimal identification of rubber bushings:First,in the case of only part of the basic test data of rubber materials,the identification of constitutive parameters based on the experimental data of mechanical properties of rubber materials: The chaotic particle swarm algorithm that introduces chaotic variables based on the classic particle swarm algorithm is adopted.The chaotic particle swarm algorithm that introduces chaotic variables on the basis of the classical particle swarm optimization algorithm is used.Based on the basic test data of rubber materials,the deviation between the stress-strain curve of the rubber material test and simulation is used as the optimization optimization goal and writing a Python script program to call ABAQUS software to optimize and identify the parameters of the rubber material constitutive model;Second,in the absence of basic test data of rubber materials,the constitutive parameters are identified based on the experimental data of the rubber bush stiffness: Still using chaotic particle swarm optimization algorithm,based on the axial and radial mechanical test data of the rubber bush,the deviation value of the rubber bush's axial and radial stiffness curve and the simulation fitting curve is taken as the optimization optimization goal and writing a Python script to call ABAQUS software to optimize the parameters of the rubber constitutive model.3.Choose the constitutive parameter with the best fitting effect in the above two schemes,establish the finite element model of the rubber bush in the ABAQUS software,and the simulation analysis result file is obtained through calculation.The data required to fit the S-N curve was obtained through a rubber durability test.The three-dimensional load spectrum of the rubber bush is extracted by ADAMS,and processed by the fatigue simulation analysis software Fe-Safe,the exported three-dimensional load spectrum is written into a multi-axis load spectrum format file by writing a Python script.The exported three-way load spectrum is written into a multi-axis load spectrum format file by writing a Python script.The results of finite element analysis of rubber bushings,the S-N curve of the rubber material,and the processed multiaxial load spectrum were imported into Fe-Safe for multiaxial fatigue simulation analysis.According to the results of fatigue simulation analysis,it is verified whether the rubber bush studied meets the requirements for use.