Multiscale topology optimization of functionally graded lattice structures based on physics-augmented neural network material models

Ähnliche Einträge

• Physics-augmented neural networks for constitutive modeling of hyperelastic geometrically exact beams
  von: Schommartz, Jasper O., et al.
  Veröffentlicht: (2024)
• Multiscale topology optimization of compressible and nearly incompressible anisotropic hyperelastic structures using physics-augmented neural networks
  von: Jadoon, Asghar A., et al.
  Veröffentlicht: (2026)
• Nonlinear electro-elastic finite element analysis with neural network constitutive models
  von: Klein, Dominik K., et al.
  Veröffentlicht: (2024)
• Design of thermal meta-structures made of functionally graded materials using isogeometric density-based topology optimization
  von: Jansari, Chintan, et al.
  Veröffentlicht: (2024)
• Digital twin inference from multi-physical simulation data of DED additive manufacturing processes with neural ODEs
  von: Kannapinn, Maximilian, et al.
  Veröffentlicht: (2024)