Adaptive Kriging Method for Uncertainty Quantification of the Photoelectron Sheath and Dust Levitation on the Lunar Surface
Adaptive Kriging Method for Uncertainty Quantification of the Photoelectron Sheath and Dust Levitation on the Lunar Surface
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DOI：
10.1115/1.4050073
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发表时间：
2021-03
期刊：
影响因子：
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通讯作者：
Xinpeng Wei;Jianxun Zhao;Xiaoming He;Zhen Hu;Xiaoping Du;D. Han
中科院分区：
文献类型：
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作者：
Xinpeng Wei;Jianxun Zhao;Xiaoming He;Zhen Hu;Xiaoping Du;D. Han
提出了一种基于自适应克立格法的月球表面光电子鞘和尘埃悬浮不确定度量化方法。给出了一维光电子鞘模型中模型参数的区间，确定了电势和尘埃悬浮高度的上下限。为了提高计算效率，我们采用了广泛使用的自适应克立格方法(AKM)。为了训练Kriging模型和定制AKM，开发了面向任务的学习函数和停止准则。实验分析表明，所提出的AKM算法具有较高的精度和效率。
This paper presents an adaptive Kriging based method to perform uncertainty quantification (UQ) of the photoelectron sheath and dust levitation on the lunar surface. The objective of this study is to identify the upper and lower bounds of the electric potential and that of dust levitation height, given the intervals of model parameters in the one-dimensional (1D) photoelectron sheath model. To improve the calculation efficiency, we employ the widely used adaptive Kriging method (AKM). A task-oriented learning function and a stopping criterion are developed to train the Kriging model and customize the AKM. Experiment analysis shows that the proposed AKM is both accurate and efficient.