CNN-based image recognition for topology optimization

Effectiveness of several currently popular topology optimization methods is closely related to the number of design variables consisted of discretized finite elements. Since the number of design variables is proportional to the number of finite element meshes, a very fine discretization needs more c...

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Veröffentlicht in:	Knowledge-based systems 2020-06, Vol.198, p.105887, Article 105887
Hauptverfasser:	Lee, Seunghye, Kim, Hyunjoo, Lieu, Qui X., Lee, Jaehong
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Cantilever beams Compliance Computing costs Convolutional neural network Cost analysis Discretization Finite element method GPU computing Graphics processing units Object recognition Topology analysis Topology image recognition Topology optimization
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