Follow
Eduardo Augusto Barros de Moraes
Eduardo Augusto Barros de Moraes
Verified email at corning.com
Title
Cited by
Cited by
Year
A non-isothermal thermodynamically consistent phase field framework for structural damage and fatigue
JL Boldrini, EAB de Moraes, LR Chiarelli, FG Fumes, ML Bittencourt
Computer Methods in Applied Mechanics and Engineering 312, 395-427, 2016
682016
Comparison of high order finite element and discontinuous Galerkin methods for phase field equations: Application to structural damage
LR Chiarelli, FG Fumes, EAB de Moraes, GA Haveroth, JL Boldrini, ...
Computers & Mathematics with Applications 74 (7), 1542-1564, 2017
202017
An integrated sensitivity‐uncertainty quantification framework for stochastic phase‐field modeling of material damage
EA Barros de Moraes, M Zayernouri, MM Meerschaert
International Journal for Numerical Methods in Engineering 122 (5), 1352-1377, 2021
162021
Comparison of semi and fully-implicit time integration schemes applied to a damage and fatigue phase field model
GA Haveroth, EA Moraes, JL Boldrini, ML Bittencourt
Latin American Journal of Solids and Structures 15, 2018
132018
DATA-DRIVEN FAILURE PREDICTION IN BRITTLE MATERIALS: A PHASE FIELD-BASED MACHINE LEARNING FRAMEWORK
EAB de Moraes, H Salehi, M Zayernouri
Journal of Machine Learning for Modeling and Computing 2 (1), 2021
112021
Machine learning of nonlocal micro-structural defect evolutions in crystalline materials
EAB de Moraes, M D’Elia, M Zayernouri
Computer Methods in Applied Mechanics and Engineering 403, 115743, 2023
92023
Atomistic-to-meso multi-scale data-driven graph surrogate modeling of dislocation glide
EAB de Moraes, JL Suzuki, M Zayernouri
Computational Materials Science 197, 110569, 2021
72021
A semi-implicit scheme for time integration of damage and fatigue phase field equations
EAB de Moraes, GA Haveroth, LR Chiarelli, FG Fumes, JL Boldrini, ...
Proceedings of VI International Symposium on Solid Mechanics, Joinville, Brazil, 2017
22017
Nonlocal Machine Learning of Micro-Structural Defect Evolutions in Crystalline Materials
EAB de Moraes, M D'Elia, M Zayernouri
arXiv preprint arXiv:2205.05729, 2022
2022
Data-Driven Multi-Scale Modeling, Analysis and Simulation of Material Failure
EAB de Moraes
Michigan State University, 2022
2022
Numerical and experimental fatigue analysis of crankshafts= Análise numérica e experimental de fadiga de virabrequins
EAB de Moraes
Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Mecânica, 2018
2018
A Fractional Calculus Framework for Modeling and Prediction of Failure in Anomalous Materials
EAB de Moraes, J Suzuki, M Zayernouri, F Villette, J Baroth, F Dufour, ...
The system can't perform the operation now. Try again later.
Articles 1–12