| Kernel principal component analysis-based Gaussian process regression modelling for high-dimensional reliability analysis T Zhou, Y Peng Computers & Structures 241, 106358, 2020 | 67 | 2020 |
| An efficient reliability method combining adaptive global metamodel and probability density evolution method T Zhou, Y Peng, J Li Mechanical Systems and Signal Processing 131, 592-616, 2019 | 61 | 2019 |
| Structural reliability analysis via dimension reduction, adaptive sampling, and Monte Carlo simulation T Zhou, Y Peng Structural and Multidisciplinary Optimization 62 (5), 2629-2651, 2020 | 52 | 2020 |
| Reliability analysis using adaptive Polynomial-Chaos Kriging and probability density evolution method T Zhou, Y Peng Reliability Engineering & System Safety 220, 108283, 2022 | 48 | 2022 |
| Surrogate modeling immersed probability density evolution method for structural reliability analysis in high dimensions Y Peng, T Zhou, J Li Mechanical Systems and Signal Processing 152, 107366, 2021 | 47 | 2021 |
| Active learning and active subspace enhancement for PDEM-based high-dimensional reliability analysis T Zhou, Y Peng Structural Safety 88, 102026, 2021 | 33 | 2021 |
| Adaptive Bayesian quadrature based statistical moments estimation for structural reliability analysis T Zhou, Y Peng Reliability Engineering & System Safety 198, 106902, 2020 | 31 | 2020 |
| Efficient reliability analysis based on deep learning-enhanced surrogate modelling and probability density evolution method T Zhou, Y Peng Mechanical Systems and Signal Processing 162, 108064, 2022 | 29 | 2022 |
| Seismic fragility assessment of highway bridges using D-vine copulas T Zhou, AQ Li Bulletin of Earthquake Engineering 17, 927-955, 2019 | 26 | 2019 |
| Copula-based seismic fragility assessment of base-isolated structures under near-fault forward-directivity ground motions T Zhou, AQ Li, YF Wu Bulletin of Earthquake Engineering 16, 5671-5696, 2018 | 18 | 2018 |
| Numerical study on the ultimate behavior of elastomeric bearings under combined compression and shear T Zhou, YF Wu, AQ Li KSCE Journal of Civil Engineering 22, 3556-3566, 2018 | 16 | 2018 |
| A new active-learning function for adaptive Polynomial-Chaos Kriging probability density evolution method T Zhou, Y Peng Applied Mathematical Modelling 106, 86-99, 2022 | 15 | 2022 |
| Ensemble of metamodels-assisted probability density evolution method for structural reliability analysis T Zhou, Y Peng Reliability Engineering & System Safety 228, 108778, 2022 | 12 | 2022 |
| Stochastic modeling and synthesis of near-fault forward-directivity ground motions T Zhou, AQ Li KSCE Journal of Civil Engineering 24 (2), 483-498, 2020 | 12 | 2020 |
| AK-PDEMi: A failure-informed enrichment algorithm for improving the AK-PDEM in reliability analysis T Zhou, S Marelli, B Sudret, Y Peng Mechanical Systems and Signal Processing 180, 109435, 2022 | 11 | 2022 |
| An active-learning reliability method based on support vector regression and cross validation T Zhou, Y Peng Computers & Structures 276, 106943, 2023 | 10 | 2023 |
| A two-stage point selection strategy for probability density evolution method-based reliability analysis T Zhou, Y Peng Structural and Multidisciplinary Optimization 65 (5), 157, 2022 | 10 | 2022 |
| Polynomial chaos Kriging-based structural reliability analysis via the expected margin volume reduction T Zhou, T Guo, Y Dong, Y Peng Computers & Structures 287, 107117, 2023 | 8 | 2023 |
| One-step look-ahead policy for active learning reliability analysis P Pei, T Zhou Reliability Engineering & System Safety 236, 109312, 2023 | 7 | 2023 |
| Implementation and validation of a numerical model for lead-rubber seismic isolation bearings T Zhou, YF Wu, AQ Li Journal of Mechanics 35 (2), 153-165, 2019 | 5 | 2019 |
