2022
DOI: 10.1002/nme.7172
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A framework for plasticity‐based topology optimization of continuum structures

Abstract: In this paper, a framework is proposed for topology optimization of continuum structures considering plasticity. The method merges the rigid‐plastic analysis and the density‐based topology optimization. To obtain a clean black‐and‐white design, the density in the objective function is penalized using an exponential function. The solution of the final plasticity‐based topology optimization problem exhibits as a sequence of second‐order cone programming (SOCP) problems that can be resolved efficiently using the … Show more

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Cited by 4 publications
(4 citation statements)
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“…According to [3,7], plasticity-based topology optimization can be formulated within the context of rigidperfectly-plastic analysis. Introducing a novel design variable, denoted as 'density' 𝜌 ∈ [0,1], the optimization problem takes the form of minimizing material volume while adhering to force balance equations and yield criteria:…”
Section: Topology Optimization Formulationmentioning
confidence: 99%
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“…According to [3,7], plasticity-based topology optimization can be formulated within the context of rigidperfectly-plastic analysis. Introducing a novel design variable, denoted as 'density' 𝜌 ∈ [0,1], the optimization problem takes the form of minimizing material volume while adhering to force balance equations and yield criteria:…”
Section: Topology Optimization Formulationmentioning
confidence: 99%
“…(3). The optimization problem (1) can be reformulated as a standard secondorder cone programming (SOCP) problem following [3,8] which then can be resolved straightforward using the advanced primal-dual interior point method available in MOSEK [9]. Notably, due to the incorporation of plasticity in the framework, the presented approach leads to a more cost-efficient structure than these from the traditional stress-constrained topology optimization, as demonstrated in [3,7] IOP Publishing doi:10.1088/1755-1315/1332/1/012006 3…”
Section: Topology Optimization Formulationmentioning
confidence: 99%
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