Pages that link to "Item:Q5947191"
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The following pages link to A class of general algorithms for multi-scale analyses of heterogeneous media (Q5947191):
Displaying 26 items.
- On the Homogenization of Nonlinear Shell (Q5131295) (← links)
- Systematic study of homogenization and the utility of circular simplified representative volume element (Q5132384) (← links)
- Strain localization in reduced-order asymptotic homogenization (Q5133463) (← links)
- Discontinuous Galerkin finite element heterogeneous multiscale method for elliptic problems with multiple scales (Q5389429) (← links)
- ANALYSIS OF A HETEROGENEOUS MULTISCALE FEM FOR PROBLEMS IN ELASTICITY (Q5484745) (← links)
- Two-scale method for the Monge–Ampère equation: pointwise error estimates (Q5854348) (← links)
- Novel multiscale models in a multicontinuum approach to divide and conquer strategies (Q6040754) (← links)
- Accelerated offline setup of homogenized microscopic model for multi‐scale analyses using neural network with knowledge transfer (Q6060946) (← links)
- Machine learning based asymptotic homogenization and localization: Predictions of key local behaviors of multiscale configurations bearing microstructural varieties (Q6071413) (← links)
- Homogenization and multiscale stability analysis in finite magneto‐electro‐elasticity (Q6078530) (← links)
- Surrogate modeling for the homogenization of elastoplastic composites based on RBF interpolation (Q6096506) (← links)
- Concurrent multiscale simulations of nonlinear random materials using probabilistic learning (Q6125499) (← links)
- Machine‐learning‐based asymptotic homogenisation and localisation considering boundary layer effects (Q6148507) (← links)
- A direct \(\mathrm{FE}^2\) method for concurrent multilevel modeling of piezoelectric materials and structures (Q6153833) (← links)
- Efficient multiscale modeling of heterogeneous materials using deep neural networks (Q6159331) (← links)
- Deep learning framework for multiscale finite element analysis based on data-driven mechanics and data augmentation (Q6171158) (← links)
- Imposing different boundary conditions for thermal computational homogenization problems with FFT- and tensor-train-based Green's operator methods (Q6499901) (← links)
- A Fourier-based machine learning technique with application in engineering (Q6553277) (← links)
- A decoupling scheme for two-scale finite thermoviscoelasticity with thermal and cure-induced deformations (Q6553289) (← links)
- A second-order reduced asymptotic homogenization approach for nonlinear periodic heterogeneous materials (Q6553879) (← links)
- An adaptive granular representative volume element model with an evolutionary periodic boundary for hierarchical multiscale analysis (Q6553940) (← links)
- A two-scale FE-FFT approach to nonlinear magneto-elasticity (Q6555320) (← links)
- A multiscale reduced-order-model strategy for transient thermoelasticity with variable microstructure (Q6555536) (← links)
- Two-scale topology optimization for composite plates with in-plane periodicity (Q6565749) (← links)
- Micro-macro concurrent topology optimization for nonlinear solids with a decoupling multiscale analysis (Q6565751) (← links)
- A FE2 shell model with periodic boundary conditions for thin and thick shells (Q6592316) (← links)
