A generally variational phase field model of fracture

Y Yu, C Hou, X Zheng, T Rabczuk, M Zhao - Theoretical and Applied …, 2023 - Elsevier
Although the phase field method has been widely used in the field of fracture, various
models exist, such as the second-order and fourth-order phase field model in the field of …

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 …

A unified first-order hyperbolic model for nonlinear dynamic rupture processes in diffuse fracture zones

AA Gabriel, D Li, S Chiocchetti… - … of the Royal …, 2021 - royalsocietypublishing.org
Earthquake fault zones are more complex, both geometrically and rheologically, than an
idealized infinitely thin plane embedded in linear elastic material. To incorporate nonlinear …

[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 …

Nonlocal phase field approach for modeling damage in brittle materials

S Karthik, A Rajagopal, JN Reddy - Mechanics of Materials, 2021 - Elsevier
In this work, we present a nonlocal phase field model for damage in brittle materials. We
define a non-conservative order parameter for representing the damage. The Helmholtz free …

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 …

Adaptive meshfree method for fourth-order phase-field model of fracture using consistent integration schemes

Y Shao, Q Duan, R Chen - Computational Materials Science, 2024 - Elsevier
An adaptive fourth-order phase-field model is proposed using consistent element-free
Galerkin method (EFG). Convenient construction of high-order interpolation functions in EFG …

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 …