Доступ предоставлен для: Guest
Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
International Journal for Uncertainty Quantification
Импакт фактор: 3.259 5-летний Импакт фактор: 2.547 SJR: 0.417 SNIP: 0.8 CiteScore™: 1.52

ISSN Печать: 2152-5080
ISSN Онлайн: 2152-5099

Свободный доступ

International Journal for Uncertainty Quantification

DOI: 10.1615/Int.J.UncertaintyQuantification.2012004291
pages 21-36

UNCERTAINTIES ASSESSMENT IN GLOBAL SENSITIVITY INDICES ESTIMATION FROM METAMODELS

Alexandre Janon
Maelle Nodet
Joseph Fourier University, Laboratoire Jean Kuntzmann, MOISE team, BP 53, 38041 Grenoble Cedex, France
Clementine Prieur
Joseph Fourier University, Laboratoire Jean Kuntzmann, MOISE team, BP 53, 38041 Grenoble Cedex, France

Краткое описание

Global sensitivity analysis is often impracticable for complex and resource intensive numerical models, as it requires a large number of runs. The metamodel approach replaces the original model by an approximated code that is much faster to run. This paper deals with the information loss in the estimation of sensitivity indices due to the metamodel approximation. A method for providing a robust error assessment is presented, hence enabling significant time savings without sacrificing precision and rigor. The methodology is illustrated for two different types of metamodels: one based on reduced basis, the other one on reproducing Kernel Hilbert space (RKHS) interpolation.


Articles with similar content:

HIGH DIMENSIONAL SENSITIVITY ANALYSIS USING SURROGATE MODELING AND HIGH DIMENSIONAL MODEL REPRESENTATION
International Journal for Uncertainty Quantification, Vol.5, 2015, issue 5
Edmondo Minisci, Marco Cisternino, Martin Kubicek
DYNAMIC MODELING OF THE THERMAL PERFORMANCE OF DISTRICT HEATING PIPELINES
Advances in Heat Transfer Engineering, Vol.1, 2003, issue
Bengt Sunden, Irena Gabrielaitiene, Rimantas Kacianauskas, B. Bohm
A NEW METHOD TO SPECIFY THE OUTLET BOUNDARY CONDITION OF FLUID FLOW IN THE CHANNEL FORMED BY TUBE BANK FINS
Computational Thermal Sciences: An International Journal, Vol.3, 2011, issue 6
Liang-Bi Wang, Zhi-Min Lin, Quan-Fu Gao
On the Taxonomy, Reproduction, and Distribution of the Diatom Nitzschia longissima (Brèb.) Grunow (Bacillariophyta)
International Journal on Algae, Vol.16, 2014, issue 1
K. I. Shorenko, O. I. Davidovich, N. A. Davidovich
On Nature of Uncertainty and Variable Criteria in the Partition Problems
Journal of Automation and Information Sciences, Vol.41, 2009, issue 9
Nadezhda K. Tymofijeva