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.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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
The ordering importance measure of random variable and its estimation.
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

A mean extrapolation technique for high reliability analysis.
Appl. Math. Comput., 2013


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