2003
DOI: 10.1006/mssp.2002.1539
|View full text |Cite
|
Sign up to set email alerts
|

Results Obtained by Minimising Natural Frequency and Mac-Value Errors of a Plate Model

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
17
0

Year Published

2005
2005
2025
2025

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 33 publications
(17 citation statements)
references
References 2 publications
0
17
0
Order By: Relevance
“…Mottershead and Friswell 1993;Bohle and Fritzen 2003;Teughels et al 2003;Lam et al 2004;Christodoulou and Papadimitriou 2007) to estimate structural parameters associated with a finite element model of a structure. This calibration procedure provides useful insight into the range of validity of the modelling assumptions and is used to improve our understanding of the dynamic behaviour of the structure and its components.…”
Section: Introductionmentioning
confidence: 99%
“…Mottershead and Friswell 1993;Bohle and Fritzen 2003;Teughels et al 2003;Lam et al 2004;Christodoulou and Papadimitriou 2007) to estimate structural parameters associated with a finite element model of a structure. This calibration procedure provides useful insight into the range of validity of the modelling assumptions and is used to improve our understanding of the dynamic behaviour of the structure and its components.…”
Section: Introductionmentioning
confidence: 99%
“…Filippov and Sergei did their investigation on the low frequencies and vibration modes of a thin cylindrical shell joined with an annular thin plate by means of asymptotic and numerical methods [6]. A plate model of the Garteur structure was developed and updated by Bohle and Fritzen [7]. In the paper the different modules used for model updating yielded satisfactory results both in the improvement of the initial model and the prediction of modifications in the structure.…”
Section: Introductionmentioning
confidence: 91%
“…After constructing the Kriging model by the initial sample points, it is easy to get the prediction and its MSE of any point by Equations (7) and (8). The EGO algorithm treats the uncertainty in the prediction as a Gaussian probability density function with the predicted value as mean value and the MSE as variance, as shown in Figure 1b.…”
Section: Efficient Global Optimizationmentioning
confidence: 99%