Topology optimization using the lattice Boltzmann method incorporating level set boundary expressions

This paper presents a topology optimization method for fluid dynamics problems, based on the level set method and using the lattice Boltzmann method (LBM). In this optimization method, the optimization problems are formulated based on the original Boltzmann equation, and the design sensitivities are...

Full description

Saved in:
Bibliographic Details
Published inJournal of computational physics Vol. 274; pp. 158 - 181
Main Authors Yaji, Kentaro, Yamada, Takayuki, Yoshino, Masato, Matsumoto, Toshiro, Izui, Kazuhiro, Nishiwaki, Shinji
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.10.2014
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:This paper presents a topology optimization method for fluid dynamics problems, based on the level set method and using the lattice Boltzmann method (LBM). In this optimization method, the optimization problems are formulated based on the original Boltzmann equation, and the design sensitivities are precisely obtained without the time-consuming numerical operations encountered when dealing with a large-scale asymmetric matrix, in contrast to previous research in which the LBM uses the lattice Boltzmann equation (LBE) for the formulations of optimization problems and the derivation of their adjoint equations. That is, we newly derive sensitivity formulations from the original Boltzmann equation, not the LBE that can be said to be an approximated equation, and these formulations yield strictly correct sensitivities that are error free. Based on the above formulations, we construct a level set-based topology optimization method incorporating a fictitious interface energy for the design of a fluid channel that minimizes flow friction. Furthermore, two- and three-dimensional numerical examples are provided to confirm the validity and utility of the presented method.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0021-9991
1090-2716
DOI:10.1016/j.jcp.2014.06.004