Back to Search Start Over

On forward and inverse uncertainty quantification for models involving hysteresis operators.

Authors :
KLEIN, OLAF
DAVINO, DANIELE
VISONE, CIRO
Source :
Mathematical Modelling of Natural Phenomena. 11/17/2020, Vol. 15, p1-19. 19p.
Publication Year :
2020

Abstract

Parameters within hysteresis operators modeling real world objects have to be identified from measurements and are therefore subject to corresponding errors. To investigate the influence of these errors, the methods of Uncertainty Quantification (UQ) are applied. Results of forward UQ for a play operator with a stochastic yield limit are presented. Moreover, inverse UQ is performed to identify the parameters in the weight function in a Prandtl-Ishlinskiĭ operator and the uncertainties of these parameters. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09735348
Volume :
15
Database :
Academic Search Index
Journal :
Mathematical Modelling of Natural Phenomena
Publication Type :
Academic Journal
Accession number :
148771317
Full Text :
https://doi.org/10.1051/mmnp/2020009