Pan Wang
Affiliations:- Northwestern Polytechnical University, School of Mechanics, Civil Engineering and Architecture, School of Aeronautics, Xi'an, China
According to our database1,
Pan Wang
authored at least 15 papers
between 2013 and 2023.
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Bibliography
2023
Time-dependent reliability analysis method based on ARBIS and Kriging surrogate model.
Eng. Comput., 2023
2022
Efficient reliability-based design optimization for hydraulic pipeline with adaptive sampling region.
Reliab. Eng. Syst. Saf., 2022
2021
Vine copula-based parametric sensitivity analysis of failure probability-based importance measure in the presence of multidimensional dependencies.
Reliab. Eng. Syst. Saf., 2021
2020
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 Overlapping.
IEEE Trans. Reliab., 2020
2019
Global sensitivity analysis for multivariate outputs based on multiple response Gaussian process model.
Reliab. Eng. Syst. Saf., 2019
2018
Multivariate global sensitivity analysis for dynamic models based on wavelet analysis.
Reliab. Eng. Syst. Saf., 2018
Copula-based decomposition approach for the derivative-based sensitivity of variance contributions with dependent variables.
Reliab. Eng. Syst. Saf., 2018
Variance-based sensitivity analysis with the uncertainties of the input variables and their distribution parameters.
Commun. Stat. Simul. Comput., 2018
2015
A new learning function for Kriging and its applications to solve reliability problems in engineering.
Comput. Math. Appl., 2015
2014
Math. Comput. Simul., 2014
Sensitivity analysis of the variance contributions with respect to the distribution parameters by the kernel function.
Comput. Math. Appl., 2014
2013
The derivative based variance sensitivity analysis for the distribution parameters and its computation.
Reliab. Eng. Syst. Saf., 2013
Importance measure analysis with epistemic uncertainty and its moving least squares solution.
Comput. Math. Appl., 2013
A derivative based sensitivity measure of failure probability in the presence of epistemic and aleatory uncertainties.
Comput. Math. Appl., 2013
Appl. Math. Comput., 2013