A review on phase field models for fracture and fatigue

P Li, W Li, B Li, S Yang, Y Shen, Q Wang… - Engineering Fracture …, 2023 - Elsevier
Phase field fracture models have demonstrated great capacities in simulating crack
nucleation, propagation, branching, and joining in brittle and ductile materials subjected to …

A non-isothermal thermodynamically consistent phase field model for damage, fracture and fatigue evolutions in elasto-plastic materials

GA Haveroth, MG Vale, ML Bittencourt… - Computer Methods in …, 2020 - Elsevier
This paper presents a general thermodynamically consistent non-isothermal phase field
framework to model effects of damage, fracture and fatigue evolutions in elasto-plastic …

[HTML][HTML] Parameter identification for a damage phase field model using a physics-informed neural network

CJG Rojas, JL Boldrini, ML Bittencourt - Theoretical and Applied …, 2023 - Elsevier
This work applies concepts of artificial neural networks to identify the parameters of a
mathematical model based on phase fields for damage and fracture. Damage mechanics is …

A damage phase-field model for fractional viscoelastic materials in finite strain

TC da Costa-Haveroth, GA Haveroth… - Computational …, 2022 - Springer
This paper proposes a thermodynamically consistent phase-field damage model for
viscoelastic materials following the strategy developed by Boldrini et al.(Methods Appl Mech …

An integrated sensitivity‐uncertainty quantification framework for stochastic phase‐field modeling of material damage

EA Barros de Moraes, M Zayernouri… - International Journal …, 2021 - Wiley Online Library
Materials accumulate energy around voids and defects under external loading, causing the
formation of microcracks. With increasing or repeated loads, those microcracks eventually …

Data-driven failure prediction in brittle materials: A phase field-based machine learning framework

EAB de Moraes, H Salehi… - Journal of Machine …, 2021 - dl.begellhouse.com
Failure in brittle materials led by the evolution of micro-to macro-cracks under repetitive or
increasing loads is often catastrophic with no significant plasticity to advert the onset of …

Parameter identification for a damage model using a physics informed neural network

CJG Rojas, ML Bitterncourt, JL Boldrini - arXiv preprint arXiv:2107.08781, 2021 - arxiv.org
This work applies concepts of artificial neural networks to identify the parameters of a
mathematical model based on phase fields for damage and fracture. Damage mechanics is …

Simulation of non-linear structural elastodynamic and impact problems using minimum energy high-order bases

APC Dias, JL Suzuki, GLV da Costa… - International Journal of …, 2022 - Elsevier
We present the application of simultaneous diagonalization and minimum energy (SDME)
high-order finite element modal bases for simulation of transient non-linear elastodynamic …

Phase-field modelling of crack initiation and propagation in polycrystalline materials under thermomechanical loadings

Z Liu - 2021 - repo.bibliothek.uni-halle.de
A phase-field model for crack initiation and propagation in polycrystalline materials under
thermomechanical loadings is proposed. Therefore, the thermomechanical coupling …

Brittle Anisotropy based on a Tensor Damage Phase Field Model

ALER Petrini, CLCS Esteves, JL Boldrini… - … American Journal of …, 2023 - SciELO Brasil
A consistent model that properly captures the behavior of materials when submitted to loads
and at the same time considers the influence of damage growth in the material properties is …