The Discrete Structural Topology Optimization Method Based on PnP-ADMM
Based on the PnP-ADMM algorithm framework,an improved discrete topology optimization al-gorithm is proposed.The aim is to obtain a globally optimal solution with reduced flexibility.By deriving the objective function and iterative equations of corresponding discrete sub-variables within the PnP-ADMM framework,a sensitivity filtering method is employed to eliminate the checkerboard pattern.Additionally,a moving restriction strategy is applied to approximate the optimal structural layout under target constraints.Through experimental examples of MBB beams and cantilever beams,the proposed method demonstrates a significant decrease in structural flexibility compared to DVTOPCRA algorithm,validating the feasibility and effectiveness of this approach.It provides a new method for minimizing flexibility in discrete structural topology optimization.
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