Regularization in model updating
By B. Titurus, Michael I. Friswell. 2008
117 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Computational Theory and Mathematics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/135614859334e79bdd58dcfe9e569ed0702cc240
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
- J. Mottershead
- M. Link
- Michael I. Friswell
- Sondipon Adhikari
- Tshilidzi Marwala
- Linda Mthembu
- H. H. Khodaparast
- Hojjat Adeli
In Computational Theory and Mathematics
In Statistics and Probability
- J. Mottershead
- M. Link
- Sondipon Adhikari
- Tshilidzi Marwala
- Michael I. Friswell
- Linda Mthembu
- H. H. Khodaparast
- Ken J. Badcock
Citations in the corpus
- The sensitivity method in finite element model updating: A tutorial (vol 25, pg 2275, 2010) (2011, background): “At each iteration regularisation may be applied, although often the corner of the L-curve disappears as the iterations progress (Titurus and Friswell [17]), and thus the value of the regularisation parameter is difficult to determine.”
- Model selection in finite element model updating using the Bayesian evidence statistic (2011, background): “This can be recast as; what evidence do we have that our updated model is the correct one given that a number of plausible models of the real system can be generated from answering the first two questions? Question one is normally addressed from engineering judgment, often complemented by some form ”