Topology optimization for fail-safe designs using moving morphable components as a representation of damage

Designs obtained with topology optimization (TO) are usually not safe against damage. In this paper, density-based TO is combined with a moving morphable component (MMC) representation of structural damage in an optimization problem for fail-safe designs. Damage is inflicted on the structure by an MMC which removes material, and the goal of the design problem is to minimize the compliance for the worst possible damage. The worst damage is sought by optimizing the position of the MMC to maximize the compliance for a given design. This non-convex problem is treated using a gradient-based solver by initializing the MMC at multiple locations and taking the maximum of the compliances obtained. The use of MMCs to model damage gives a finite element-mesh-independent method, and by allowing the components to move rather than remain at fixed locations, more robust structures are obtained. Numerical examples show that the proposed method can produce fail-safe designs with reasonable computational cost.

Automated summary

This paper combines density-based topology optimization with a moving morphable component to achieve fail-safe designs, minimizing compliance for worst damage and optimizing the position of MMC for maximum compliance. Multiple location initialization of MMC in a non-convex problem is handled using a gradient-based solver to obtain more robust structures. The proposed method can produce fail-safe designs with reasonable computational cost.