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A Study on Basis Functions of the Parameterized Level Set Method for Topology Optimization of Continuums

Peng Wei, Yang Yang, Shikui Chen, Michael Yu Wang

2020Journal of Mechanical Design42 citationsDOI

Abstract

Abstract In recent years, the parameterized level set method (PLSM), which rests on radial basis functions in most early work, has gained growing attention in structural optimization. However, little work has been carried out to investigate the effect of the basis functions in the parameterized level set method. This paper examines the basis functions of the parameterized level set method, including radial basis functions, B-spline functions, and shape functions in the finite element method (FEM) for topology optimization of continuums. The effects of different basis functions in the PLSM are examined by analyzing and comparing the required storage, convergence speed, computational efficiency, and optimization results, with the benchmark minimum compliance problems subject to a volume constraint. The linear basis functions show relatively satisfactory overall performance. Besides, several schemes to boost computational efficiency are proposed. The study on examples with unstructured 2D and 3D meshes can also be considered as a tentative investigation of prospective possible commercial applications of this method.

Topics & Concepts

Parameterized complexityBasis functionBasis (linear algebra)Topology optimizationMathematical optimizationRadial basis functionFinite element methodBenchmark (surveying)Polygon meshShape optimizationSpline (mechanical)Computer scienceMathematicsSet (abstract data type)Topology (electrical circuits)Applied mathematicsAlgorithmArtificial intelligenceGeometryEngineeringMathematical analysisArtificial neural networkStructural engineeringGeodesyCombinatoricsGeographyProgramming languageTopology Optimization in EngineeringAdvanced Multi-Objective Optimization AlgorithmsComposite Structure Analysis and Optimization