Fail-Safe Topology Optimization Using Damage Scenario Filtering Article Swipe

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Wuhe Sun , Yong Zhang , Yunfei Liu , Kai Cheng , Fei Cheng ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.3390/app14020878

Within the framework of isotropic materials, this paper introduces an efficient topology optimization method that incorporates fail-safe design considerations using a penalty function approach. Existing methods are either computationally expensive or overlook fail-safe requirements during optimization. This approach not only achieves optimized structures with fail-safe characteristics, but also significantly enhances the computational efficiency of fail-safe topology optimization. In this method, the minimization of worst-case compliance serves as the optimization objective, employing the Kreisselmeier–stein Hauser function to approximate the non-differentiable maximum operator. A sensitivity analysis, derived through the adjoint method, is utilized, and a universal fail-safe optimization criterion is developed to update the design variables. During the optimization process for fail-safe strategies, a density-based filtering method is applied, effectively reducing damage scenarios. Finally, the effectiveness and computational efficiency of this method are validated through several numerical examples.

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Computer Science

Mathematics

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Finite Element Method

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Electronic Engineering

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Topology optimization Mathematical optimization Computer science Sensitivity (control systems) Minification Differentiable function Random optimization Optimization problem Topology (electrical circuits) Test functions for optimization Mathematics Multi-swarm optimization Engineering Finite element method Combinatorics Mathematical analysis Structural engineering Electronic engineering

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Landing Page: https://doi.org/10.3390/app14020878
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Title: Fail-Safe Topology Optimization Using Damage Scenario Filtering

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Publication year: 2024

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Authors: Wuhe Sun, Yong Zhang, Yunfei Liu, Kai Cheng, Fei Cheng

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Concepts: Topology optimization, Mathematical optimization, Computer science, Sensitivity (control systems), Minification, Differentiable function, Random optimization, Optimization problem, Topology (electrical circuits), Test functions for optimization, Mathematics, Multi-swarm optimization, Engineering, Finite element method, Combinatorics, Mathematical analysis, Structural engineering, Electronic engineering

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