An Improved Evolutionary Structure Optimization Method for Smooth Topology Design of Structures

To meet the needs of industrial production, an improved evolution structural optimiza-tion (ESO) method with high efficiency is proposed. The optimized design variables with intermediate density were designed using the windowed evolution structural optimiza-tion (WESO) method to increase the stability of the algorithm. The efficient calculation method of the element node sensitivity was established, which realizes the establishment of level set functions, smooth topological design of structures and the updating of design variables. The stability of the proposed algorithm was verified by the Zhou-Rozvany problem, two-and three-dimensional (3D) numerical results. The effectiveness and effi-ciency of the proposed algorithm was further verified by numerical comparison with other topology optimization frameworks. Lastly, the improved windowed ESO method was applied to the initial configuration design of the double-deck bridge structure, which not only provides guidance for its initial design but also demonstrates the applicability of the method in complex structural systems.

Automated summary

In order to meet the needs of industrial production, an efficient improved evolution structural optimization (ESO) method is proposed. The method utilizes the windowed evolution structural optimization (WESO) method to design optimized variables with intermediate density for increased algorithm stability. A efficient calculation method for element node sensitivity is established, enabling the establishment of level set functions, smooth topological design of structures, and updating of design variables. The stability and effectiveness of the proposed algorithm is verified through numerical comparisons and application to a double-deck bridge structure.