4.7 Article

Robust topology optimization for concurrent design of dynamic structures under hybrid uncertainties

Journal

MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 120, Issue -, Pages 540-559

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2018.10.026

Keywords

Robust topology optimization; Level set method; Concurrent design; Dimensional reduction; Hybrid uncertainties

Funding

  1. National Natural-Science-Foundation of China [51575204]
  2. Australian Research Council (ARC) - Discovery Projects [160102491]
  3. National Science Foundation for Distinguished Young Scholars of China [51725502]
  4. Open Research Project of The State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology [DMETKF2015010]

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A new robust topology optimization method based on level sets is developed for the concurrent design of dynamic structures composed of uniform periodic microstructures subject to random and interval hybrid uncertainties. A Hybrid Dimensional Reduction (HDR) method is proposed to estimate the interval mean and the interval variance of the uncertain objective function based on a bivariate dimension reduction scheme. The robust objective function is defined as a weighted sum of the mean and standard variance of the dynamic compliance under the worst case. The sensitivity information of the robust objective function with respect to the macro and micro design variables can then be obtained after the uncertainty analysis. Several examples are used to validate the effectiveness of the proposed robust topology optimization method. (C) 2018 Elsevier Ltd. All rights reserved.

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