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Coupled topology and shape optimization using an embedding domain discretization method

Gabriel Stankiewicz, Chaitanya Dev, Paul Steinmann

2021Structural and Multidisciplinary Optimization16 citationsDOIOpen Access PDF

Abstract

Abstract Density-based topology optimization and node-based shape optimization are often used sequentially to generate production-ready designs. In this work, we address the challenge to couple density-based topology optimization and node-based shape optimization into a single optimization problem by using an embedding domain discretization technique. In our approach, a variable shape is explicitly represented by the boundary of an embedded body. Furthermore, the embedding domain in form of a structured mesh allows us to introduce a variable, pseudo-density field. In this way, we attempt to bring the advantages of both topology and shape optimization methods together and to provide an efficient way to design fine-tuned structures without predefined topological features.

Topics & Concepts

Topology optimizationEmbeddingDiscretizationTopology (electrical circuits)Shape optimizationComputational topologyExtension topologyNode (physics)Mathematical optimizationComputer scienceDomain (mathematical analysis)Boundary (topology)Optimization problemMathematicsGeneral topologyFinite element methodArtificial intelligenceMathematical analysisEngineeringTopological spaceDiscrete mathematicsMathematical physicsStructural engineeringScalar fieldCombinatoricsTopology Optimization in EngineeringAdvanced Multi-Objective Optimization AlgorithmsPiezoelectric Actuators and Control
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