Research on Topology Optimization Method Based on Adaptive Evolutionary Rate
In BESO method,the evolution rate value often adopts a constant value,leading to slow calcula-tion in the early iteration period and rapid updating of elements in the later period,which is difficult to ensure the efficiency of iterative calculation.In this paper,two adaptive evolutionary rate mechanisms are constructed based on Two-class functions respectively to dynamically control evolutionary rate value and improve the computational efficiency of topology optimization.The test results of a numerical example show that the proposed adaptive evolution rate model improves the computational efficiency by 40％ compared to the constant value type.
万方数据
维普
