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Concurrent optimization of structural topology and infill properties with a CBF-based level set method

  • Long Jiang
  • Yang Guo
  • Shikui ChenEmail author
  • Peng Wei
  • Na Lei
  • Xianfeng David Gu
Open Access
Research Article
  • 53 Downloads
Part of the following topical collections:
  1. Structural Topology Optimization

Abstract

In this paper, a parametric level-set-based topology optimization framework is proposed to concurrently optimize the structural topology at the macroscale and the effective infill properties at the micro/meso scale. The concurrent optimization is achieved by a computational framework combining a new parametric level set approach with mathematical programming. Within the proposed framework, both the structural boundary evolution and the effective infill property optimization can be driven by mathematical programming, which is more advantageous compared with the conventional partial differential equation-driven level set approach. Moreover, the proposed approach will be more efficient in handling nonlinear problems with multiple constraints. Instead of using radial basis functions (RBF), in this paper, we propose to construct a new type of cardinal basis functions (CBF) for the level set function parameterization. The proposed CBF parameterization ensures an explicit impose of the lower and upper bounds of the design variables. This overcomes the intrinsic disadvantage of the conventional RBF-based parametric level set method, where the lower and upper bounds of the design variables oftentimes have to be set by trial and error. A variational distance regularization method is utilized in this research to regularize the level set function to be a desired distanceregularized shape. With the distance information embedded in the level set model, the wrapping boundary layer and the interior infill region can be naturally defined. The isotropic infill achieved via the mesoscale topology optimization is conformally fit into the wrapping boundary layer using the shape-preserving conformal mapping method, which leads to a hierarchical physical structure with optimized overall topology and effective infill properties. The proposed method is expected to provide a timely solution to the increasing demand for multiscale and multifunctional structure design.

Keywords

concurrent topology optimization parametric level set method cardinal basis function shell-infill structure design conformal mapping 

Notes

Acknowledgements

The authors acknowledge the support from the National Science Foundation of the United States (Grant Nos. CMMI1462270 and CMMI1762287), Ford University Research Program (URP), and the start-up fund from the State University of New York at Stony Brook.

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Authors and Affiliations

  • Long Jiang
    • 1
  • Yang Guo
    • 2
  • Shikui Chen
    • 1
    Email author
  • Peng Wei
    • 3
  • Na Lei
    • 4
  • Xianfeng David Gu
    • 2
  1. 1.Department of Mechanical EngineeringState University of New York at Stony BrookStony BrookUSA
  2. 2.Department of Computer ScienceState University of New York at Stony BrookStony BrookUSA
  3. 3.State Key Laboratory of Subtropical Building Science, School of Civil Engineering and TransportationSouth China University of TechnologyGuangzhouChina
  4. 4.DUT-RU International School of Information Science & EngineeringDalian University of TechnologyDalianChina

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