| Evolutionary Structural Optimization(ESO)method is an important branch of topology optimization method,which is easy to understand and convenient to use.Bidirectional evolutionary structural optimization(BESO)method is the further development of the ESO method.The existing evolutionary structural optimization method is mainly based on stress analysis.However,it is very important to use fatigue life analysis as a reference factor in the design of the core components of heavy machinery due to the great impact of structural failure caused by fatigue failure on the safety production and the service life of construction machinery.In this paper,the fatigue life of each element in the structure is obtained according to the finite element analysis method,the rain flow counting method and the uniaxial fatigue life estimation method.Then the elements with relatively high service life values are removed according to the fatigue life and optimized through several iterations,and then get the topological result of the target volume.Through the study of several existing structural optimization methods,including the structural optimization methods of MATLAB,and the secondary development of ABAQUS script language Python,a brand new structural optimization method combining MATLAB and ABAQUS is developed.At the end of this paper,combining with the actual situation of engineering application,the concept of multiaxial fatigue analysis is introduced.The cyclic loading of the non-proportional variable amplitude load is recalculated using the Wang-Brown multiaxial load-cycle counting method.Finally,the topological optimization design of three-dimensional structure based on the fatigue life obtained by multiaxial fatigue analysis is carried out.And the H-type cross-beam model in the pushing machine is used as the engineering example to optimize the topology,and the structure with relatively high fatigue life under the same volume is obtained. |
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