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Jie Chen
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Cited by
Year
Fatigue modeling using neural networks: A comprehensive review
J Chen, Y Liu
Fatigue & Fracture of Engineering Materials & Structures 45 (4), 945-979, 2022
1892022
Probabilistic physics-guided machine learning for fatigue data analysis
J Chen, Y Liu
Expert Systems with Applications 168, 114316, 2021
1302021
Equivalent surface defect model for fatigue life prediction of steel reinforcing bars with pitting corrosion
J Chen, B Diao, J He, S Pang, X Guan
International Journal of Fatigue 110, 153-161, 2018
842018
Fatigue property prediction of additively manufactured Ti-6Al-4V using probabilistic physics-guided learning
J Chen, Y Liu
Additive Manufacturing 39, 101876, 2021
742021
Uncertainty quantification of fatigue SN curves with sparse data using hierarchical Bayesian data augmentation
J Chen, S Liu, W Zhang, Y Liu
International Journal of Fatigue 134, 105511, 2020
492020
Multiaxial high-cycle fatigue life prediction under random spectrum loadings
H Wei, P Carrion, J Chen, A Imanian, N Shamsaei, N Iyyer, Y Liu
International Journal of Fatigue 134, 105462, 2020
462020
Multi-fidelity data aggregation using convolutional neural networks
J Chen, Y Gao, Y Liu
Computer methods in applied mechanics and engineering 391, 114490, 2022
302022
Piecewise stochastic rainflow counting for probabilistic linear and nonlinear damage accumulation considering loading and material uncertainties
J Chen, A Imanian, H Wei, N Iyyer, Y Liu
International Journal of Fatigue 140, 105842, 2020
262020
Lifetime distribution selection for complete and censored multi-level testing data and its influence on probability of failure estimates
J He, J Chen, X Guan
Structural and Multidisciplinary Optimization 62, 1-17, 2020
262020
Towards a digital twin framework in additive manufacturing: Machine learning and bayesian optimization for time series process optimization
V Karkaria, A Goeckner, R Zha, J Chen, J Zhang, Q Zhu, J Cao, RX Gao, ...
Journal of Manufacturing Systems, 2024
202024
Thermal conductivity of metal coated polymer foam: Integrated experimental and modeling study
R Dai, G Chandrasekaran, J Chen, C Jackson, Y Liu, Q Nian, B Kwon
International Journal of Thermal Sciences 169, 107045, 2021
192021
Multi-fidelity neural optimization machine for Digital Twins
J Chen, C Meng, Y Gao, Y Liu
Structural and Multidisciplinary Optimization 65 (12), 340, 2022
162022
Physics-guided mixture density networks for uncertainty quantification
J Chen, Y Yu, Y Liu
Reliability Engineering & System Safety 228, 108823, 2022
152022
Neural optimization machine: A neural network approach for optimization
J Chen, Y Liu
arXiv preprint arXiv:2208.03897, 2022
142022
Uncertainty quantification of fatigue properties with sparse data using hierarchical Bayesian model
J Chen, Y Liu
AIAA Scitech 2020 Forum, 0680, 2020
142020
Automated crystal system identification from electron diffraction patterns using multiview opinion fusion machine learning
J Chen, H Zhang, CB Wahl, W Liu, CA Mirkin, VP Dravid, DW Apley, ...
Proceedings of the National Academy of Sciences 120 (46), e2309240120, 2023
112023
Data-driven sensitivity analysis for static mechanical properties of additively manufactured Ti–6Al–4V
A Sharma, J Chen, E Diewald, A Imanian, J Beuth, Y Liu
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part b …, 2022
112022
Subcycle fatigue crack growth and equivalent initial flaw size model for fatigue life assessment under arbitrary loadings for Al-7075
S Shivankar, J Chen, Y Liu
International Journal of Fatigue 156, 106685, 2022
102022
Crack growth-based life prediction for additively manufactured metallic materials considering surface roughness
K Kethamukkala, C Meng, J Chen, Y Liu
International Journal of Fatigue 176, 107914, 2023
92023
Probabilistic bulk property estimation using multimodality surface non-destructive measurements for vintage pipes
J Chen, D Ersoy, Y Liu
Structural Safety 87, 101995, 2020
92020
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