Perturbation methods for the estimation of parameter variability in stochastic model updating

By H. H. Khodaparast, J. Mottershead, Michael I. Friswell. 2008

204 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Mechanics of Materials, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f452f1fb04a3cb4f771dce17530c1459b4178c7e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. J. Mottershead
2. M. Link
3. H. H. Khodaparast
4. Yves Govers
5. Ken J. Badcock
6. Michael I. Friswell

In Mechanics of Materials

1. M. Link
2. Ken J. Badcock
3. Yves Govers
4. H. H. Khodaparast
5. J. Mottershead

In Statistics and Probability

1. J. Mottershead
2. M. Link
3. H. H. Khodaparast
4. Yves Govers
5. Ken J. Badcock

Citations in the corpus

• A comparison of two stochastic model updating methods using the DLR AIRMOD test structure (2015, methodology): “[12] considered the aleatory (irreducible) uncertainty of multiple nominally-identical test pieces in model updating, the latter showing excellent results using first-order perturbation whereas the former method required the computation of second-order sensitivities.”
• Interval model updating with irreducible uncertainty using the Kriging predictor (2011, methodology): “[26] developed two perturbation methods for stochastic model updating.”