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Justin Mach
Justin Mach
在 ornl.gov 的电子邮件经过验证
标题
引用次数
引用次数
年份
Continuity in the plastic strain rate and its influence on texture evolution
JC Mach, AJ Beaudoin, A Acharya
Journal of the Mechanics and Physics of Solids 58 (2), 105-128, 2010
412010
Validation of a crystal plasticity model using high energy diffraction microscopy
AJ Beaudoin, M Obstalecki, R Storer, W Tayon, J Mach, P Kenesei, ...
Modelling and simulation in materials science and engineering 20 (2), 024006, 2012
272012
Welding residual stress impact on fatigue life of a welded structure
L Pan, BP Athreya, JA Forck, W Huang, L Zhang, T Hong, W Li, W Ulrich, ...
Welding in the World 57 (5), 685-691, 2013
202013
Validating a model for welding induced residual stress using high-energy X-ray diffraction
JC Mach, CJ Budrow, DC Pagan, JPC Ruff, JS Park, J Okasinski, ...
Jom 69, 893-899, 2017
132017
Incorporating bubble growth volume feedback to improve simulation of the response of a structure containing liquid and gas to sudden energy input
D Winder, L Lin, J Mach
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2021
82021
Modeling Needs for High Power Target
C Barbier, S Bidhar, M Calviani, J Dooling, J Gao, A Jacques, W Lu, ...
arXiv preprint arXiv:2203.04714, 2022
72022
Fatigue analysis of the Spallation Neutron Source 2 MW target design
J Mach, K Johns, S Gorti, H Jiang
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2021
72021
FD&E Total life T-sample residual stress analytical predictions and measured results
J Mach, C Gales, JS Park, J Okasinski, C Budrow, A Beaudoin, K Swartz, ...
SAE Technical Paper, 2019
42019
Design and structural assessment of the Spallation Neutron Source 2.0 MW target
K Johns, J Mach, S Gorti, H Jiang
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2021
22021
Application of machine learning to predict the response of the liquid mercury target at the spallation neutron source
L Lin, S Gorti, J Mach, H Tran, DE Winder
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2021
22021
Numerical Simulation of Dynamic Strain Ageing and Fracture in Aluminum
JC Mach
University of Illinois at Urbana-Champaign, 2004
22004
Model calibration of the liquid mercury spallation target using evolutionary neural networks and sparse polynomial expansions
MI Radaideh, H Tran, L Lin, H Jiang, D Winder, S Gorti, G Zhang, J Mach, ...
Nuclear Instruments and Methods in Physics Research Section B: Beam …, 2022
12022
Method and system for determing welding process parameters
VK Yalamanchili, JC Mach, J Norato, BP Athreya
US Patent 10,325,036, 2019
12019
Robust Virtual Welding Process Optimization
VK Yalamanchili, DA Galindo, JC Mach
Procedia Computer Science 140, 342-350, 2018
12018
Continuity in Rigid Viscoplastic Flow
JC Mach
University of Illinois at Urbana-Champaign, 2009
12009
Heterogeneity in plastic deformation
JC Mach, JD Kang, AJ Beaudoin, DS Wilkinson
Materials science forum 519, 85-92, 2006
12006
arXiv: Modeling Needs for High Power Target
C Barbier, J Dooling, W Lu, D Winder, J Mach, D Senor, J Gao, S Bidhar, ...
2022
Modeling Needs for High Power Target
DE Winder, J Mach, J Tipton Jr, W Lu, A Jacques, C Barbier
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2022
2022
Fixture member for detecting a load acting thereon
B Appalla, JC Mach, GK Mathai, NL Lee
US Patent App. 14/857,897, 2017
2017
Adoption of High Performance Computational (HPC) Modeling Software for Widespread Use in the Manufacture of Welded Structures
FW Brust, EF Punch, EK Twombly, S Kalyanam, J Kennedy, GR Hattery, ...
Engineering Mechanics Corporation of Columbus, Columbus, OH (United States), 2016
2016
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