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• W4205963375 abstract "Abstract Topology optimization is widely used in industry to determine optimal load paths while satisfying stringent constraints. Recently, functionally graded lattice materials have been integrated into structural design for weight minimization, performance improvements, among others. One subject of interest is the long‐lasting designs with high fatigue failure resistance. The focus of this article is twofold, namely, to present readers with a step‐by step guide to derive sensitivities for various fatigue performances in gradient based topology optimization and to present and compare new and old methods for cumulative damage objectives. New formulations for cumulative damage assessment that modify local damage in topology optimizations by influencing local stress, yield strength or SN‐curve intercept are presented. Effects of functionally graded materials are also investigated to measure potential improvements in damage resistance. Methods of gradient descent such as moving asymptotes and sequential quadratic programming are included to compare solutions of fatigue minimization problems. The analysis shows that traditional method of stress penalization is the most effective to obtain satisfactory load paths for fatigue minimization when compared to yield and SN‐intercept penalization. Multiple benchmark tests provided results which showed slower convergence when yield strength penalization is activated which also required significantly more computation time than other methods." @default.
• W4205963375 created "2022-01-25" @default.
• W4205963375 creator A5071488070 @default.
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• W4205963375 date "2022-01-23" @default.
• W4205963375 modified "2023-09-27" @default.
• W4205963375 title "Penalization Techniques for Fatigue‐Based Topology Optimizations of Structures with Embedded Functionally Graded Lattice Materials" @default.
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• W4205963375 doi "https://doi.org/10.1002/nme.6924" @default.
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