Improving multiresolution topology optimization via multiple discretizations

By Tam H. Nguyen, Glaucio H. Paulino, Junho Song, Chau H. Le. 2012

105 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Civil and Structural Engineering, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/2b635f24f232f0334527a289fd22315dcb767b1a

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In Artificial Intelligence

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Citations in the corpus

A multi-resolution method for 3D multi-material topology optimization (2015, unknown): “In this approach, the voids are represented by coarser mesh while the solids by relatively finer mesh during the process [37,40–42].”
Adaptive topology optimization with independent error control for separated displacement and density fields (2014, methodology): “[23] proposed a so-called adaptive multi-resolution topology optimization method to achieve high fidelity designs with a relatively low computational cost.”
A survey of structural and multidisciplinary continuum topology optimization: post 2000 (2014, methodology): “Recently, improvements to this method were suggested and an adaptive mesh refinement scheme was incorporated to further increase efficiency (Nguyen et al. 2012).”
Large scale three-dimensional topology optimisation of heat sinks cooled by natural convection (2015, methodology): “These works cover the use of high-level scripting languages [40, 41], multiscale/-resolution approaches [42, 43] and parallel programming using the message parsing interface (MPI) and C/Fortran [44, 45, 46, 47].”
Topology optimization in B-spline space (2013, background): “Future work would also include exploring how B-spline representation can be used in robust formulation [33] to ensure robust control of minimal feature length and how the compactness of B-spline representation can facilitate multi-resolution topology optimization as proposed in [38, 39].”
Multiresolution topology optimization using isogeometric analysis (2017, methodology): “That approach was also improved later utilizing a relatively coarse mesh for finite element analysis (FEA), a moderately fine mesh for the design variable mesh, and a relatively fine mesh for the density mesh by the same above authors.(39) Clearly, the number of design density variables was reduced,”