Topology optimization with advanced cnn using mapped physics-based data

HIGHLIGHTS

• who: Junhyeon Seo from the Kevin TCrofton Department of Aerospace and Ocean Engineering, Virginia Polytechnic Institute and State University, Old Turner Street, Blacksburg, VA, USA have published the Article: Topology optimization with advanced CNN using mapped physics-based data, in the Journal: (JOURNAL)
• what: This research proposes a new framework to develop an accurate machine-learning-based surrogate model to predict the optimum topological structures using an advanced encoder-decoder network Unet and Unet++. The best-performing network provides highly accurate results and this model provided the IoU scores for average maximum and standard deviation . . .
  

   

  

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