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Improving multiresolution topology optimization via multiple discretizations


Glaucio H. Paulino, Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Newmark Laboratory, 205 North Mathews Avenue, Urbana, IL 61801, U.S.A.



Unlike the traditional topology optimization approach that uses the same discretization for finite element analysis and design optimization, this paper proposes a framework for improving multiresolution topology optimization (iMTOP) via multiple distinct discretizations for: (1) finite elements; (2) design variables; and (3) density. This approach leads to high fidelity resolution with a relatively low computational cost. In addition, an adaptive multiresolution topology optimization (AMTOP) procedure is introduced, which consists of selective adjustment and refinement of design variable and density fields. Various two-dimensional and three-dimensional numerical examples demonstrate that the proposed schemes can significantly reduce computational cost in comparison to the existing element-based approach. Copyright © 2012 John Wiley & Sons, Ltd.