| Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis C Luo, B Keshtegar, SP Zhu, O Taylan, XP Niu Computer Methods in Applied Mechanics and Engineering 388, 114218, 2022 | 168 | 2022 |
| EMCS-SVR: hybrid efficient and accurate enhanced simulation approach coupled with adaptive SVR for structural reliability analysis C Luo, B Keshtegar, SP Zhu, X Niu Computer Methods in Applied Mechanics and Engineering 400, 115499, 2022 | 85 | 2022 |
| Physics-guided machine learning frameworks for fatigue life prediction of AM materials L Wang, SP Zhu, C Luo, D Liao, Q Wang International Journal of Fatigue 172, 107658, 2023 | 71 | 2023 |
| Size effect in fatigue modelling of defective materials: Application of the calibrated weakest-link theory JC He, SP Zhu, C Luo, X Niu, Q Wang International Journal of Fatigue 165, 107213, 2022 | 66 | 2022 |
| An enhanced uniform simulation approach coupled with SVR for efficient structural reliability analysis C Luo, SP Zhu, B Keshtegar, X Niu, O Taylan Reliability Engineering & System Safety 237, 109377, 2023 | 63 | 2023 |
| Active Kriging-based conjugate first-order reliability method for highly efficient structural reliability analysis using resample strategy C Luo, SP Zhu, B Keshtegar, W Macek, R Branco, D Meng Computer Methods in Applied Mechanics and Engineering 423, 116863, 2024 | 36 | 2024 |
| Physics-informed machine learning and its structural integrity applications: state of the art SP Zhu, L Wang, C Luo, JAFO Correia, AMP De Jesus, F Berto, Q Wang Philosophical Transactions of the Royal Society A 381 (2260), 20220406, 2023 | 35 | 2023 |
| Machine learning-based probabilistic fatigue assessment of turbine bladed disks under multisource uncertainties SP Zhu, X Niu, B Keshtegar, C Luo, M Bagheri International Journal of Structural Integrity 14 (6), 1000-1024, 2023 | 34 | 2023 |
| Defect driven physics-informed neural network framework for fatigue life prediction of additively manufactured materials L Wang, SP Zhu, C Luo, X Niu, JC He Philosophical Transactions of the Royal Society A 381 (2260), 20220386, 2023 | 32 | 2023 |
| Pressure and polymer selections for solid-state batteries investigated with high-throughput simulations X Zhang, C Luo, N Menga, H Zhang, Y Li, SP Zhu Cell Reports Physical Science 4 (3), 2023 | 14 | 2023 |
| Probabilistic and defect tolerant fatigue assessment of AM materials under size effect X Niu, SP Zhu, JC He, C Luo, Q Wang Engineering Fracture Mechanics 277, 109000, 2023 | 14 | 2023 |
| Probabilistic notch fatigue assessment under size effect using micromechanics-based critical distance theory JC He, SP Zhu, C Luo, W Li, Q Liu, Y He, Q Wang International Journal of Fatigue 183, 108280, 2024 | 12 | 2024 |
| Structural optimization design of metal rubber isolator based on an ensemble surrogate model H Ma, SP Zhu, C Luo, S Yang, D Meng Structures 56, 104964, 2023 | 7 | 2023 |
| Physics-informed neural network for creep-fatigue life prediction of Inconel 617 and interpretation of influencing factors S Zhang, L Wang, SP Zhu, X Deng, S Fu, C Luo, Y Dong, D Yan Materials & Design 245, 113267, 2024 | 4 | 2024 |
| Uniform importance sampling with rejection control for structural reliability analysis C Luo, SP Zhu, Y Lv, H Ma, X Liu, B Keshtegar Computer Methods in Applied Mechanics and Engineering 436, 117707, 2025 | 1 | 2025 |
| Probabilistic framework for strain-based fatigue life prediction and uncertainty quantification using interpretable machine learning X Deng, SP Zhu, L Wang, C Luo, S Fu, Q Wang International Journal of Fatigue 190, 108647, 2025 | 1 | 2025 |
| Enhanced soft Monte Carlo simulation coupled with support vector regression for structural reliability analysis S Yang, D Meng, H Yang, C Luo, X Su Proceedings of the Institution of Civil Engineers-Transport, 1-16, 2024 | 1 | 2024 |
| Size effect in fatigue modelling of defective materials: Application of the calibrated weakest-link theory (vol 165, 107213, 2022) JC He, SP Zhu, C Luo, X Niu, Q Wang INTERNATIONAL JOURNAL OF FATIGUE 167, 2023 | | 2023 |
| Corrigendum to “Size effect in fatigue modelling of defective materials: Application of the calibrated weakest-link theory”[Int. J. Fatigue 165 (2022) 107213] JC He, SP Zhu, C Luo, X Niu, Q Wang International Journal of Fatigue 167, 107393, 2023 | | 2023 |
| Multi-Fidelity Physics-Informed Machine Learning Framework for Fatigue Life Prediction of Additive Manufactured Materials L Wang, S Zhu, B Wu, Z Xu, C Luo, Q Wang Available at SSRN 5097918, 0 | | |
Shun-Peng Zhu (朱顺鹏)Professor, University of Electronic Science and Technology of ChinaZweryfikowany adres z uestc.edu.cn