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Fatigue Topology Optimization Design Based on Distortion Energy Theory and Independent Continuous Mapping Method

Hongling Ye*, Zonghan Li, Nan Wei, Pengfei Su, Yunkang Sui

Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China

* Corresponding Author: Hongling Ye. Email: email

(This article belongs to this Special Issue: Novel Methods of Topology Optimization and Engineering Applications)

Computer Modeling in Engineering & Sciences 2021, 128(1), 297-314. https://doi.org/10.32604/cmes.2021.016133

Abstract

Fatigue failure is a common failure mode under the action of cyclic loads in engineering applications, which often occurs with no obvious signal. The maximum structural stress is far below the allowable stress when the structures are damaged. Aiming at the lightweight structure, fatigue topology optimization design is investigated to avoid the occurrence of fatigue failure in the structural conceptual design beforehand. Firstly, the fatigue life is expressed by topology variables and the fatigue life filter function. The continuum fatigue optimization model is established with the independent continuous mapping (ICM) method. Secondly, fatigue life constraints are transformed to distortion energy constraints explicitly by taking advantage of the distortion energy theory. Thirdly, the optimization formulation is solved by the dual sequence quadratic programming (DSQP). And the design scheme of lightweight structure considering the fatigue characteristics is obtained. Finally, numerical examples illustrate the practicality and effectiveness of the fatigue optimization method. This method further expands the theoretical application of the ICM method and provides a novel approach for the fatigue optimization problem.

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Cite This Article

Ye, H., Li, Z., Wei, N., Su, P., Sui, Y. (2021). Fatigue Topology Optimization Design Based on Distortion Energy Theory and Independent Continuous Mapping Method. CMES-Computer Modeling in Engineering & Sciences, 128(1), 297–314.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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