A global surrogate model technique based on principal component analysis and Kriging for uncertainty propagation of dynamic systems Y Liu, L Li, S Zhao, S Song Reliability Engineering & System Safety 207, 107365, 2021 | 45 | 2021 |
Efficient Bayesian updating with two-step adaptive Kriging Y Liu, L Li, S Zhao Structural Safety 95, 102172, 2022 | 18 | 2022 |
A global surrogate model for high-dimensional structural systems based on partial least squares and Kriging Y Liu, L Li, S Zhao Mechanical Systems and Signal Processing 164, 108246, 2022 | 14 | 2022 |
Global reliability sensitivity analysis based on state dependent parameter method and efficient sampling techniques Y Liu, L Li Aerospace Science and Technology 99, 105740, 2020 | 12 | 2020 |
Efficient Bayesian model updating for dynamic systems Y Liu, L Li, Z Chang Reliability Engineering & System Safety 236, 109294, 2023 | 8 | 2023 |
Multivariate sensitivity analysis for dynamic models with both random and random process inputs L Li, Y Liu, Z Shi, P Wang Applied Mathematical Modelling 81, 92-112, 2020 | 7 | 2020 |
A reliability analysis method based on adaptive Kriging and partial least squares Y Liu, L Li, S Zhao, C Zhou Probabilistic Engineering Mechanics 70, 103342, 2022 | 6 | 2022 |
Efficient multivariate sensitivity analysis for dynamic models based on cubature formula Y Liu, L Li, C Zhou, H Zhao Engineering Structures 206, 110164, 2020 | 5 | 2020 |
Kriging-based analytical technique for global sensitivity analysis of systems with multivariate output Y Liu, L Li, Z Chang, P Wang Structural and Multidisciplinary Optimization 65 (10), 288, 2022 | 3 | 2022 |
A new dependence measure for importance analysis: Application to an environmental model L Li, Y Liu, Z Lu Applied Mathematical Modelling 74, 43-61, 2019 | 2 | 2019 |
Reliability Updating with a System Reliability Method Based on Adaptive Kriging Y Liu, L Li, S Zhao Journal of Engineering Mechanics 149 (4), 04023015, 2023 | 1 | 2023 |