Abstract
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.
Recommended Citation
X. Wei et al., "Adaptive Kriging Method for Uncertainty Quantification of the Photoelectron Sheath and Dust Levitation on the Lunar Surface," Journal of Verification, Validation and Uncertainty Quantification, vol. 6, no. 1, article no. 011006-1, American Society of Mechanical Engineers, Mar 2021.
The definitive version is available at https://doi.org/10.1115/1.4050073
Department(s)
Mechanical and Aerospace Engineering
Second Department
Mathematics and Statistics
Publication Status
Available Access
International Standard Serial Number (ISSN)
2377-2166; 2377-2158
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 American Society of Mechanical Engineers, All rights reserved.
Publication Date
01 Mar 2021
Comments
National Science Foundation, Grant 1923799