Basic Framework and Main Methods of Uncertainty Quantification. (31st August 2020)

• Record Type: Journal Article
• Authors: Zhang, Juan; Yin, Junping; Wang, Ruili
• Other Names: Zhang Xuping Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2020(2020)
• Publication Date: 2020-08-31
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2020/6068203
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : 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.