[HTML][HTML] Evaluation of computational homogenization methods for the prediction of mechanical properties of additively manufactured metal parts

NG March, DR Gunasegaram, AB Murphy - Additive Manufacturing, 2023 - Elsevier
It is well known that the strongly location-dependent microstructures observed in metal parts
made using additive manufacturing (AM) processes differ from those found in components …

Development of interpretable, data-driven plasticity models with symbolic regression

GF Bomarito, TS Townsend, KM Stewart… - Computers & …, 2021 - Elsevier
In many applications, such as those which drive new material discovery, constitutive models
are sought that have three characteristics:(1) the ability to be derived in automatic fashion …

A microstructure-based fatigue model for additively manufactured Ti-6Al-4V, including the role of prior β boundaries

S Krishnamoorthi, R Bandyopadhyay… - International Journal of …, 2023 - Elsevier
Microstructure-based models of additive manufactured (AM) Ti-6Al-4V should faithfully
represent the unique microstructural features of these materials to provide a more thorough …

Machine learning-enabled self-consistent parametrically-upscaled crystal plasticity model for Ni-based superalloys

G Weber, M Pinz, S Ghosh - Computer Methods in Applied Mechanics and …, 2022 - Elsevier
This paper introduces a concurrent multiscale modeling framework for developing
parametrically-upscaled crystal plasticity models (PUCPM) for crystalline metals that are …

[HTML][HTML] Machine learning classifiers for surface crack detection in fracture experiments

A Müller, N Karathanasopoulos, CC Roth… - International Journal of …, 2021 - Elsevier
Correctly determining the onset of fracture is crucial when performing mechanical
experiments. Commonly carried out by visual inspection, here an image-based machine …

Data-driven Bayesian model-based prediction of fatigue crack nucleation in Ni-based superalloys

M Pinz, G Weber, JC Stinville, T Pollock… - npj Computational …, 2022 - nature.com
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 …

[HTML][HTML] Multiscale stress and strain statistics in the deformation of polycrystalline alloys

J Chen, Z Wang, AM Korsunsky - International Journal of Plasticity, 2022 - Elsevier
Multiscale stresses and strains in polycrystalline metals are always inhomogeneous. In this
study, a rate-independent crystal plasticity formulation was implemented for a cubic …

Modeling Study of the Creep Behavior of Carbon-Fiber-Reinforced Composites: A Review

M Katouzian, S Vlase, M Marin, ML Scutaru - Polymers, 2022 - mdpi.com
The aim of this paper is to present some important practical cases in the analysis of the
creep response of unidirectional fiber-reinforced composites. Some of the currently used …

Predicting the complete tensile properties of additively manufactured Ti-6Al-4V by integrating three-dimensional microstructure statistics with a crystal plasticity model

F Azhari, C Wallbrink, Z Sterjovski, BR Crawford… - International Journal of …, 2022 - Elsevier
A multiscale finite element model integrating microstructure statistics with an enhanced three-
dimensional (3D) crystal plasticity model including damage has been developed to predict …

Homogenization using modified Mori-Tanaka and TFA framework for elastoplastic-viscoelastic-viscoplastic composites: Theory and numerical validation

M Barral, G Chatzigeorgiou, F Meraghni… - International Journal of …, 2020 - Elsevier
This study proposes a micromechanical model based on a modified multi-scale mean field
approach that predicts the overall behavior of long fiber reinforced elastoplastic and …