Parallelized structural topology optimization for eigenvalue problems

By Taesoo Kim, Jae Eun Kim, Yoon Young Kim. 2004

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Large‐scale topology optimization using preconditioned Krylov subspace methods with recycling (2007, methodology): “block Jacobi preconditioners [3], especially for use on parallel computers.”
A survey of structural and multidisciplinary continuum topology optimization: post 2000 (2014, methodology): “Several researchers have applied the first method via parallel or distributed computing to more rapidly compute system responses (Borrvall and Petersson 2001a; Kim et al. 2004; Vemeganti and Lawrence 2005; Evgrafov et al. 2008; Mahdavi et al. 2006; Aage et al. 2008).”
Improving multiresolution topology optimization via multiple discretizations (2012, methodology): “These approaches [4–13] can be broadly divided into three groups: (1) employing powerful computing resources; (2) introducing efficient solution”
Review of options for structural design sensitivity analysis. Part 1: Linear systems (2005, unknown): “Consistent derivatives are labeled ‘‘E’’, whereas non-exact and non-consistent COMPUTED derivatives are denoted by ‘‘F’’.”
Efficient use of iterative solvers in nested topology optimization (2010, background): “Kim et al. 2004; Vemaganti and Lawrence 2005; Mahdavi et al. 2006 ;W ang et al. 2007; Evgrafov et al. 2008).”