Topology Optimization Of L-shape Structure And Application Based On ESO

The development of science and technology makes higher requirements forstructural performance. While, the traditional method of structural design could notmeet the demands, so a new method is proposed. Evolutionary structural optimization isa new method of them for structural and technological optimization, therefore, thedevelopment and perfection it is significant for practical application.Topology optimization of L-shape structure is a major problem in the field ofstructural topology optimization, and we can’t obtain satisfactory results undertraditional topology optimization algorithm, including: numerical algorithm (SIMP) andcriterion method (ESO). So far, research on the subject is focused on the numericalalgorithm. In addition, the existing research is computational complexity, highcomputational cost and less stable. So, this paper will study the optimization of L-shapestructure based on the evolutionary structural optimization algorithm.Traditional evolutionary structural optimization is based on the simple idea that theoptimal structure can be produced by gradually removing the inefficiently orineffectively used material from the design domain and obtain satisfying results in mostexamples. But for L-shape structure, traditional evolutionary structural optimizationalgorithm can’t obtain a satisfactory topology that a concave of the final topologyresults still exist and leading to the formation of local stress concentration. Inspiredfrom the pond water formation and drainage phenomenon, a new material removalmehod based on the "pond drainage simulation" is proposed. The method is on the ideathat improving the structure performance by deleting the material hindering the stresstransfer. This method proves effective through the L-shape structure example.Service engineering is the ultimate goal for any of the optimization algorithm.Therefore, the method is applied to the optimization of the open spanner in real life. Asyou can see, the topology obtained from the method consistents with the realitystructure and relieves stress concentration. The example shows that the algorithm is notlimited to theoretical research, but also has some pratical significance.