Basic Framework and Main Methods of Uncertainty Quantification
Joint Authors
Zhang, Juan
Yin, Junping
Wang, Ruili
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-31
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
Since 2000, the research of uncertainty quantification (UQ) has been successfully applied in many fields and has been highly valued and strongly supported by academia and industry.
This review firstly discusses the sources and the types of uncertainties and gives an overall discussion on the goal, practical significance, and basic framework of the research of UQ.
Then, the core ideas and typical methods of several important UQ processes are introduced, including sensitivity analysis, uncertainty propagation, model calibration, Bayesian inference, experimental design, surrogate model, and model uncertainty analysis.
American Psychological Association (APA)
Zhang, Juan& Yin, Junping& Wang, Ruili. 2020. Basic Framework and Main Methods of Uncertainty Quantification. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1196484
Modern Language Association (MLA)
Zhang, Juan…[et al.]. Basic Framework and Main Methods of Uncertainty Quantification. Mathematical Problems in Engineering No. 2020 (2020), pp.1-18.
https://search.emarefa.net/detail/BIM-1196484
American Medical Association (AMA)
Zhang, Juan& Yin, Junping& Wang, Ruili. Basic Framework and Main Methods of Uncertainty Quantification. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1196484
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196484