Deep learning for plasticity and thermo-viscoplasticity
Predicting history-dependent materials' responses is crucial, as path-dependent behavior
appears while characterizing or geometrically designing many materials (eg, metallic and …
appears while characterizing or geometrically designing many materials (eg, metallic and …
Finite electro-elasticity with physics-augmented neural networks
In the present work, a machine learning based constitutive model for electro-mechanically
coupled material behavior at finite deformations is proposed. Using different sets of …
coupled material behavior at finite deformations is proposed. Using different sets of …
Network alteration of cyclically loaded elastomers mediated by dynamic bonds
Elastomers and hydrogels with dynamic network structures have received considerable
research interest due to their high strength and toughness, and self-healing ability. While the …
research interest due to their high strength and toughness, and self-healing ability. While the …
Finite strain FE2 analysis with data-driven homogenization using deep neural networks
A data-driven deep neural network (DNN) based approach is presented to accelerate FE 2
analysis. It is computationally expensive to perform multiscale FE 2 analysis since at each …
analysis. It is computationally expensive to perform multiscale FE 2 analysis since at each …
Numerical estimation via remeshing and analytical modeling of nonlinear elastic composites comprising a large volume fraction of randomly distributed spherical …
We investigate numerically via finite element (FE) simulations and analytically the nonlinear
behavior of a soft matrix comprising a large volume fraction (up to 55%) of monodisperse …
behavior of a soft matrix comprising a large volume fraction (up to 55%) of monodisperse …
[HTML][HTML] Nonlinear electro-elastic finite element analysis with neural network constitutive models
In the present work, the applicability of physics-augmented neural network (PANN)
constitutive models for complex electro-elastic finite element analysis is demonstrated. For …
constitutive models for complex electro-elastic finite element analysis is demonstrated. For …
Hyperelastic constitutive relations for porous materials with initial stress
M Zhang, W Chen, X Huang, Q Yuan… - Journal of the Mechanics …, 2024 - Elsevier
Initial stress is widely observed in porous materials. However, its constitutive theory remains
unknown due to the lack of a framework for modeling the interactions between initial stress …
unknown due to the lack of a framework for modeling the interactions between initial stress …
Random 3D-printed isotropic composites with high volume fraction of pore-like polydisperse inclusions and near-optimal elastic stiffness
Highly porous materials with random closed-cell architecture combine isotropy with high
stiffness. Yet in practice, the complexity of their manufacturing limits the experimental …
stiffness. Yet in practice, the complexity of their manufacturing limits the experimental …
The nonlinear viscoelastic response of suspensions of rigid inclusions in rubber: I—Gaussian rubber with constant viscosity
A numerical and analytical study is made of the macroscopic or homogenized viscoelastic
response of suspensions of rigid inclusions in rubber under finite quasistatic deformations …
response of suspensions of rigid inclusions in rubber under finite quasistatic deformations …
A materials data framework and dataset for elastomeric foam impact mitigating materials
The availability of materials data for impact-mitigating materials has lagged behind
applications-based data. For example, data describing on-field helmeted impacts are …
applications-based data. For example, data describing on-field helmeted impacts are …