5 papers
Local approximate Gaussian process regression for data-driven constitutive laws: Development and comparison with neural networks
Jan Niklas Fuhg, Michele Marino, Nikolaos Bouklas
Hierarchical computational methods for multiscale mechanics such as the FE and FE-FFT methods are generally accompanied by high computational costs. Data-driven approaches are…
Model-data-driven constitutive responses: application to a multiscale computational framework
Jan Niklas Fuhg, Christoph Boehm, Nikolaos Bouklas +3
Computational multiscale methods for analyzing and deriving constitutive responses have been used as a tool in engineering problems because of their ability to combine information…
Mixed variational formulations for structural topology optimization based on the phase-field approach
Michele Marino, Ferdinando Auricchio, Alessandro Reali +2
We propose a variational principle combining a phase-field functional for structural topology optimization with a mixed (three-field) Hu-Washizu functional, then including directly…
Electro-magneto-mechanically response of polycrystalline materials: Computational Homogenization via the Virtual Element Method
Christoph Böhm, Blaž Hudobivnik, Michele Marino +1
This work presents a study on the computational homogenization of electro-magneto-mechanically coupled problems through the Virtual Element Method (VEM). VE-approaches have great p…
Collisions in shape memory alloys
Michel Frémond, Michele Marino, Elisabetta Rocca
We present here a model for instantaneous collisions in a solid made of shape memory alloys (SMA) by means of a predictive theory which is based on the introduction not only of mac…