Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
519589 | Journal of Computational Physics | 2016 | 18 Pages |
Abstract
In this paper we present a strategy for correcting model deficiency using observational data. We first present the model correction in a general form, involving both external correction and internal correction. The model correction problem is then parameterized and casted into an optimization problem, from which the parameters are determined. More importantly, we discuss the incorporation of physical constraints from the underlying physical problem. Several representative examples are presented, where the physical constraints take very different forms. Numerical tests demonstrate that the physics constrained model correction is an effective way to address model-form uncertainty.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Yanyan He, Dongbin Xiu,