Prediction of composite mechanical properties: integration of deep neural network methods and finite element analysis

HIGHLIGHTS

• who: Kimia Gholami et al. from the Department of Computer Science, Florida Institute of Technology, Melbourne, FL, USA School of Engineering, Atilim University, Ankara, Turkey have published the research work: Prediction of Composite Mechanical Properties: Integration of Deep Neural Network Methods and Finite Element Analysis, in the Journal: (JOURNAL)
• what: This work provided bridging methods to combine a finite element analysis and a DNN for applications in diverse fields such as tissue engineering materials science and medical engineering. This study assessed four datasets of uniform shapes, non-uniform shapes, irregular shapes, and a combination of . . .
  

   

  

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