Fatigue modeling using neural networks: A comprehensive review J Chen, Y Liu Fatigue & Fracture of Engineering Materials & Structures 45 (4), 945-979, 2022 | 189 | 2022 |
Probabilistic physics-guided machine learning for fatigue data analysis J Chen, Y Liu Expert Systems with Applications 168, 114316, 2021 | 130 | 2021 |
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 | 84 | 2018 |
Fatigue property prediction of additively manufactured Ti-6Al-4V using probabilistic physics-guided learning J Chen, Y Liu Additive Manufacturing 39, 101876, 2021 | 74 | 2021 |
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 | 49 | 2020 |
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 | 46 | 2020 |
Multi-fidelity data aggregation using convolutional neural networks J Chen, Y Gao, Y Liu Computer methods in applied mechanics and engineering 391, 114490, 2022 | 30 | 2022 |
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 | 26 | 2020 |
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 | 26 | 2020 |
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 | 20 | 2024 |
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 | 19 | 2021 |
Multi-fidelity neural optimization machine for Digital Twins J Chen, C Meng, Y Gao, Y Liu Structural and Multidisciplinary Optimization 65 (12), 340, 2022 | 16 | 2022 |
Physics-guided mixture density networks for uncertainty quantification J Chen, Y Yu, Y Liu Reliability Engineering & System Safety 228, 108823, 2022 | 15 | 2022 |
Neural optimization machine: A neural network approach for optimization J Chen, Y Liu arXiv preprint arXiv:2208.03897, 2022 | 14 | 2022 |
Uncertainty quantification of fatigue properties with sparse data using hierarchical Bayesian model J Chen, Y Liu AIAA Scitech 2020 Forum, 0680, 2020 | 14 | 2020 |
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 | 11 | 2023 |
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 | 11 | 2022 |
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 | 10 | 2022 |
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 | 9 | 2023 |
Probabilistic bulk property estimation using multimodality surface non-destructive measurements for vintage pipes J Chen, D Ersoy, Y Liu Structural Safety 87, 101995, 2020 | 9 | 2020 |