A new learning function for Kriging and its applications to solve reliability problems in engineering Z Lv, Z Lu, P Wang Computers & Mathematics with Applications 70 (5), 1182-1197, 2015 | 352 | 2015 |
Efficient structural reliability analysis method based on advanced Kriging model L Zhang, Z Lu, P Wang Applied Mathematical Modelling 39 (2), 781-793, 2015 | 183 | 2015 |
An application of the Kriging method in global sensitivity analysis with parameter uncertainty P Wang, Z Lu, Z Tang Applied Mathematical Modelling 37 (9), 6543-6555, 2013 | 117 | 2013 |
Multivariate global sensitivity analysis for dynamic models based on wavelet analysis S Xiao, Z Lu, P Wang Reliability Engineering & System Safety 170, 20-30, 2018 | 65 | 2018 |
Multivariate global sensitivity analysis for dynamic models based on energy distance S Xiao, Z Lu, P Wang Structural and Multidisciplinary Optimization 57 (1), 279-291, 2018 | 37 | 2018 |
Copula-based decomposition approach for the derivative-based sensitivity of variance contributions with dependent variables P Wang, Z Lu, K Zhang, S Xiao, Z Yue Reliability Engineering & System Safety 169, 437-450, 2018 | 35 | 2018 |
A derivative based sensitivity measure of failure probability in the presence of epistemic and aleatory uncertainties P Wang, Z Lu, Z Tang Computers & Mathematics with Applications 65 (1), 89-101, 2013 | 33 | 2013 |
Entropy-based importance measure for uncertain model inputs T Zhangchun, L Zhenzhou, J Biao, P Wang, Z Feng AIAA journal 51 (10), 2319-2334, 2013 | 27 | 2013 |
Multivariate Global Sensitivity Analysis Based on Distance Components Decomposition S Xiao, Z Lu, P Wang Risk Analysis 38 (12), 2703-2721, 2018 | 23 | 2018 |
A generalized separation for the variance contributions of input variables and their distribution parameters P Wang, Z Lu, S Xiao Applied Mathematical Modelling 47, 381-399, 2017 | 22 | 2017 |
Global sensitivity analysis for multivariate outputs based on multiple response Gaussian process model F Liu, P Wei, C Tang, P Wang, Z Yue Reliability Engineering & System Safety 189, 287-298, 2019 | 21 | 2019 |
Global sensitivity analysis based on distance correlation for structural systems with multivariate output S Xiao, Z Lu, P Wang Engineering Structures 167, 74-83, 2018 | 20 | 2018 |
Global sensitivity analysis of failure probability of structures with uncertainties of random variable and their distribution parameters P Wang, C Li, F Liu, H Zhou Engineering with Computers, 1-19, 2021 | 19 | 2021 |
Two efficient AK-based global reliability sensitivity methods by elaborative combination of Bayes’ theorem and the law of total expectation in the successive intervals without … W Yun, Z Lu, K Feng, X Jiang, P Wang, L Li IEEE Transactions on Reliability 69 (1), 260-276, 2019 | 17 | 2019 |
Vine copula-based parametric sensitivity analysis of failure probability-based importance measure in the presence of multidimensional dependencies H Li, P Wang, X Huang, Z Zhang, C Zhou, Z Yue Reliability Engineering & System Safety 215, 107898, 2021 | 16 | 2021 |
Efficient numerical simulation method for evaluations of global sensitivity analysis with parameter uncertainty ZC Tang, Z Lu, P Wang, Y Xia, P Yang, P Wang Applied Mathematical Modelling 40 (1), 597-611, 2016 | 14 | 2016 |
A mean extrapolation technique for high reliability analysis T Zhangchun, L Zhenzhou, P Wang, Z Feng Applied Mathematics and Computation 222, 82-93, 2013 | 14 | 2013 |
An entropy-based global sensitivity analysis for the structures with both fuzzy variables and random variables T Zhangchun, L Zhenzhou, P Wang, Z Feng Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2013 | 13 | 2013 |
An application of active learning Kriging for the failure probability and sensitivity functions of turbine disk with imprecise probability distributions P Wang, Z Zhang, X Huang, H Zhou Engineering with Computers, 1-21, 2021 | 10 | 2021 |
Importance measure analysis with epistemic uncertainty and its moving least squares solution P Wang, Z Lu, Z Tang Computers & Mathematics with Applications 66 (4), 460-471, 2013 | 10 | 2013 |