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Brian Phung
Brian Phung
Post Doctoral Research Associate, University of Utah
Verificeret mail på utah.edu
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Implementation and experimental validation of nonlocal damage in a large-strain elasto-viscoplastic FFT-based framework for predicting ductile fracture in 3D polycrystalline …
CK Cocke, H Mirmohammad, M Zecevic, BR Phung, RA Lebensohn, ...
International Journal of Plasticity 162, 103508, 2023
192023
A convected-particle tetrahedron interpolation technique in the material-point method for the mesoscale modeling of ceramics
RB Leavy, JE Guilkey, BR Phung, AD Spear, RM Brannon
Computational Mechanics 64, 563-583, 2019
182019
Investigating the effect of grain structure on compressive response of open-cell metal foam using high-fidelity crystal-plasticity modeling
D Zhao, KE Matheson, BR Phung, S Petruzza, MW Czabaj, AD Spear
Materials Science and Engineering: A 812, 140847, 2021
132021
A voxel-based remeshing framework for the simulation of arbitrary three-dimensional crack growth in heterogeneous materials
BR Phung, AD Spear
Engineering Fracture Mechanics 209, 404-422, 2019
112019
The third Sandia Fracture Challenge: from theory to practice in a classroom setting
AD Spear, MW Czabaj, P Newell, K DeMille, BR Phung, D Zhao, ...
International Journal of Fracture 218, 171-194, 2019
82019
A surface-mesh gradation tool for generating gradated tetrahedral meshes of microstructures with defects
BR Phung, J He, AD Spear
Computational Materials Science 197, 110622, 2021
62021
Predicting microstructurally sensitive fatigue‐crack path in WE43 magnesium using high‐fidelity numerical modeling and three‐dimensional experimental characterization
BR Phung, DA Greeley, M Yaghoobi, JF Adams, JE Allison, AD Spear
Fatigue & Fracture of Engineering Materials & Structures 47 (3), 862-883, 2024
32024
Statistical analysis of microstructurally small fatigue crack growth in three-dimensional polycrystals based on high-fidelity numerical simulations
VB Rao, BR Phung, BT Johnsson, AD Spear
Engineering Fracture Mechanics 307, 110282, 2024
22024
Predicting fall parameters from infant skull fractures using machine learning
JN Hirst, BR Phung, BT Johnsson, J He, B Coats, AD Spear
Biomechanics and Modeling in Mechanobiology, 1-17, 2025
2025
Interpretability and Generalizability of Constitutive Models using Symbolic Regression
J Hochhalter, K Garbrecht, D Birky, D Randall, B Phung, N Strauss, ...
153rd TMS Annual Meeting & Exhibition, 2024
2024
Simulation of Three-Dimensional Microstructurally Sensitive Crack Growth Using a Voxel-Based Remeshing Framework
BR Phung
The University of Utah, 2022
2022
Predicting the yield behavior of polycrystalline aggregates usinga generalized Schmid factor approach.
C Alleman, B Phung
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021
2021
An analytical model for material strength accounting for microstructural variability.
B Phung, C Alleman
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020
2020
Towards the Verification of a Generalized Schmid-and Taylor-factor Homogenization Scheme and Mesoscale Mesh Generation from Noisy Image Data.
B Phung, C Alleman
Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2019
2019
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Artikler 1–14