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Pan Wang
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Year
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
3212015
Efficient structural reliability analysis method based on advanced Kriging model
L Zhang, Z Lu, P Wang
Applied Mathematical Modelling 39 (2), 781-793, 2015
1712015
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
1082013
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
612018
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
352013
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
332018
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
332018
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
242013
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
222017
Multivariate Global Sensitivity Analysis Based on Distance Components Decomposition
S Xiao, Z Lu, P Wang
Risk Analysis 38 (12), 2703-2721, 2018
202018
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
192019
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
192018
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
162021
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
142019
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
132016
A mean extrapolation technique for high reliability analysis
T Zhangchun, L Zhenzhou, P Wang, Z Feng
Applied Mathematics and Computation 222, 82-93, 2013
132013
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
122021
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
112013
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
102013
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
92021
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