Hierarchical multiscale crystal plasticity framework for plasticity and strain hardening of multi-principal element alloys
The multi-principal element alloys (MPEAs) exhibit the unprecedented combinations of the
excellent mechanical properties, especially high strength and good ductility. However, the …
excellent mechanical properties, especially high strength and good ductility. However, the …
Extreme sparsification of physics-augmented neural networks for interpretable model discovery in mechanics
Data-driven constitutive modeling with neural networks has received increased interest in
recent years due to its ability to easily incorporate physical and mechanistic constraints and …
recent years due to its ability to easily incorporate physical and mechanistic constraints and …
Machine learning-enabled self-consistent parametrically-upscaled crystal plasticity model for Ni-based superalloys
This paper introduces a concurrent multiscale modeling framework for developing
parametrically-upscaled crystal plasticity models (PUCPM) for crystalline metals that are …
parametrically-upscaled crystal plasticity models (PUCPM) for crystalline metals that are …
Integrated Finite Element Neural Network (I-FENN) for non-local continuum damage mechanics
P Pantidis, ME Mobasher - Computer Methods in Applied Mechanics and …, 2023 - Elsevier
We present a new Integrated Finite Element Neural Network framework (I-FENN), with the
objective to accelerate the numerical solution of nonlinear computational mechanics …
objective to accelerate the numerical solution of nonlinear computational mechanics …
Data-driven Bayesian model-based prediction of fatigue crack nucleation in Ni-based superalloys
This paper develops a Bayesian inference-based probabilistic crack nucleation model for
the Ni-based superalloy René 88DT under fatigue loading. A data-driven, machine learning …
the Ni-based superalloy René 88DT under fatigue loading. A data-driven, machine learning …
Developing parametrically upscaled constitutive and crack nucleation models for the α/β Ti64 alloy
Abstract This paper develops Parametrically Upscaled Constitutive Model (PUCM) and the
Parametrically Upscaled Crack Nucleation Model (PUCNM) for a commercially used α/β …
Parametrically Upscaled Crack Nucleation Model (PUCNM) for a commercially used α/β …
Cyclic microstructure analysis, crack propagation and life prediction of Inconel 750H considering the slip fracture energy
K Wang, K Song, R Xin, L Zhao, L Xu - International Journal of Plasticity, 2023 - Elsevier
The cyclic stress responses and microstructure analyses were carried out of short-term aged
Inconel 750H under high temperature low cycle fatigue tests, the influence of strain …
Inconel 750H under high temperature low cycle fatigue tests, the influence of strain …
Evidence-based uncertainty quantification for bending properties of bimetal composites
Bimetal or laminated metal composites consisting of several metal or alloy layers can
efficiently absorb the advantageous properties of each metal when utilised as raw materials …
efficiently absorb the advantageous properties of each metal when utilised as raw materials …
Parametrically upscaled crack nucleation model (PUCNM) for fatigue nucleation in titanium alloys containing micro-texture regions (MTR)
Abstract Micro-texture regions (MTRs), delineated as the clusters of grains with similar
crystallographic orientations in the polycrystalline microstructure, play a significant role in …
crystallographic orientations in the polycrystalline microstructure, play a significant role in …
Spatially-dependent material uncertainties in anisotropic nonlinear elasticity: Stochastic modeling, identification, and propagation
P Chen, J Guilleminot - Computer Methods in Applied Mechanics and …, 2022 - Elsevier
This paper develops a stochastic model for the spatially-dependent material parameters
parameterizing anisotropic strain energy density functions. The construction is cast within …
parameterizing anisotropic strain energy density functions. The construction is cast within …