An improved perturbation method for stochastic finite element model updating

By X. Hua, Y. Ni, Z. Q. Chen, J. M. Ko. 2008

131 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/27033eb795d66c0241a13e6de466238202752b9b

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

In Statistics and Probability

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

Citations in the corpus

• A comparison of two stochastic model updating methods using the DLR AIRMOD test structure (2015, unknown): “[11] and Haddad Khodaparast et al.”
• Perturbation methods for the estimation of parameter variability in stochastic model updating (2008, methodology): “[7] addresses the problem of test-structure variability by a perturbation method.”