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A collaborative quasi-Monte Carlo uncertainty propagation analysis method for multiple types of epistemic uncertainty quantified by probability boxes

Published Online: 2023-04-20

Published Print: 2023-05

Authors

Xiao, Zhao https://orcid.org/0000-0002-6485-7068
Zhang, Qunwang

Zhang, Zhe

Bai, Wenqi

Liu, Haibo
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (51905165)

Natural Science Foundation of Hunan Province (51905165, 2022JJ90003)

Postdoctoral Research Foundation of China (2021M690988)

the National Key Research and Development Program of People's Republic of China (2022YFF0608702)
License Information

Text and Data Mining valid from 2023-04-20

Version of Record valid from 2023-04-20
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Article History

Received: 1 October 2021

Revised: 14 March 2023

Accepted: 3 April 2023

First Online: 20 April 2023

Declarations

:

: The authors declare that there are no conflicts of interest.

: The utilized code and data are available on request to enable the method proposed in the manuscript to be replicated by readers.

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