Learning corrections for hyperelastic models from data

HIGHLIGHTS

• who: Elías Cueto from the Aragon Institute of Engineering Research, Universidad de Zaragoza, Zaragoza, Spain, ESI Group Chair and PIMM Lab have published the article: Learning Corrections for Hyperelastic Models From Data, in the Journal: (JOURNAL)
• what: In this scenario, the goal of the method will be that of unveiling the dissipative part of the model so as to correct the pure Hamiltonian behavior of the assumed model. To show the robustness of the presented method, the authors demonstrate here that if the authors try to correct the Hamiltonian part of the model, the . . .
  

   

  

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