Level set band method: A combination of density-based and level set methods for the topology optimization of continuums

Peng WEI, Wenwen WANG, Yang YANG, Michael Yu WANG

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Front. Mech. Eng. ›› 2020, Vol. 15 ›› Issue (3) : 390-405. DOI: 10.1007/s11465-020-0588-0
RESEARCH ARTICLE
RESEARCH ARTICLE

Level set band method: A combination of density-based and level set methods for the topology optimization of continuums

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Abstract

The level set method (LSM), which is transplanted from the computer graphics field, has been successfully introduced into the structural topology optimization field for about two decades, but it still has not been widely applied to practical engineering problems as density-based methods do. One of the reasons is that it acts as a boundary evolution algorithm, which is not as flexible as density-based methods at controlling topology changes. In this study, a level set band method is proposed to overcome this drawback in handling topology changes in the level set framework. This scheme is proposed to improve the continuity of objective and constraint functions by incorporating one parameter, namely, level set band, to seamlessly combine LSM and density-based method to utilize their advantages. The proposed method demonstrates a flexible topology change by applying a certain size of the level set band and can converge to a clear boundary representation methodology. The method is easy to implement for improving existing LSMs and does not require the introduction of penalization or filtering factors that are prone to numerical issues. Several 2D and 3D numerical examples of compliance minimization problems are studied to illustrate the effects of the proposed method.

Keywords

level set method / topology optimization / density-based method / level set band

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Peng WEI, Wenwen WANG, Yang YANG, Michael Yu WANG. Level set band method: A combination of density-based and level set methods for the topology optimization of continuums. Front. Mech. Eng., 2020, 15(3): 390‒405 https://doi.org/10.1007/s11465-020-0588-0

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Acknowledgments

The authors gratefully acknowledge the financial support provided by the National Natural Science Foundation of China (Grant No. 11372004), the State Key Laboratory of Subtropical Building Science (Grant No. 2016 KB13), and the State Key Laboratory of Structural Analysis for Industrial Equipment (Grant No. GZ18109).

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2020 The Author(s) 2020. This article is published with open access at link.springer.com and journal.hep.com.cn
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