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Authors
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Funding
Funding for this research was provided by:
Tsinghua University (2021GQC0003)
Tsinghua University (2020SM006)
National Natural Science Foundation of China (2019YFE0112800)
Postdoctoral Research Foundation of China (YJ20210126)
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Article History
Received: 12 June 2022
Revised: 11 December 2022
Accepted: 25 January 2023
First Online: 20 March 2023
Declarations
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: We declare that there is no conflict of interest.
: The algorithms and step-by-step implementation approach for the proposed Reliability Updating with Adaptive Kriging using Importance Sampling (RUAK-IS) are elaborated in the paper. Readers can use MATLAB and UQLab Kriging package to implement the algorithms and generate the results presented in the paper. The codes can be accessed upon reader’s requirement.
