Parameter screening in dynamic computer model calibration using global sensitivities

Proceedings of the ASME Design Engineering Technical Conference

Volumn 1, Issue PARTS A AND B, 2010, Pages 997-1005

  Drignei, Dorin ^a   Mourelatos, Zissimos P ^b   Rebba, Ramesh ^c  

^a OAKLAND UNIVERSITY   (United States)

^b Oakland University   (United States)

^c GENERAL MOTORS CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BEST MATCH; CALIBRATION ALGORITHM; COMPUTER MODELS; FIELD DATA; GLOBAL SENSITIVITY; GLOBAL SENSITIVITY ANALYSIS; INDUSTRY APPLICATIONS; INPUT FACTORS; INPUT PARAMETER; PARAMETER SCREENING; ROAD LOADS;

AUTOMOTIVE INDUSTRY; CALIBRATION; COMPUTER AIDED DESIGN; INDUSTRIAL APPLICATIONS; TRANSIENT ANALYSIS;

SENSITIVITY ANALYSIS;

EID: 80054985582     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/DETC2010-28343     Document Type: Conference Paper

References (12)

1. Bayarri, M.J., Berger, J.O., A., Paulo, R., Sacks, J., Cafeo, J.A., Cavendish, J., Lin, C.H. and Tu, J. (2007a). A Framework for Validation of Computer Models. Technometrics, 49, 138-154.
2. Bayarri, M.J., Berger, J.O., Cafeo, J., Garcia-Donato, G., Liu, F., Palomo, Parthasarathy, R.J., Paulo, R., Sacks, J. and Walsh, D. (2007b), Computer Model Validation with Functional Output, Annals of Statistics, 35, 1874-1906.
3. Bliznyuk, N., Ruppert, D., Shoemaker, C., Regis R., Wild S., Mugunthan P. (2008), Bayesian Calibration and Uncertainty Analysis for Computationally Expensive Models Using Optimization and Radial Basis Function Approximation, Journal of Computational and Graphical Statistics, 17, 270-294.
4. Demidenko (2004), Mixed Models: Theory and Applications, Wiley.
5. Drignei, D. (2009), A Kriging Approach to the Analysis of Climate Model Experiments, Journal of Agricultural, Biological, and Environmental Statistics, 14, 99-114.
6. Drignei, D., Forest, C. and Nychka, D. (2008), Parameter estimation for computationally intensive nonlinear regression with an application to climate modeling, Annals of Applied Statistics, 2, 1217-1230.
7. Fang, K.T., Li, R. and Sudjianto, A. (2007). Design and Modeling for Computer Experiments, Chapman and Hall.
8. Higdon, D., Gattiker, J., Williams, B., and Rightley, M. (2008), Computer model calibration using high dimensional outputs, J. Am. Statist. Assoc., 103, 570-583.
9. Mardia, K. V. and Marshall, R. J. (1984), Maximum Likelihood Estimation of Models for Residual Covariance in Spatial Regression, Biometrika, 71, 135-146.
10. Santner, T.J., Williams, B.J., Notz, W.I. (2003). The Design and Analysis of Computer Experiments, Springer, New York.
11. Stein, M.L. (1999), Interpolation of Spatial Data: Some Theory for Kriging, Springer, New York.
12. Zhang Z., Li R. and Sudjianto A. (2007), Modeling Computer Experiments with Multiple Responses, SAE Paper No. 2007-01-1655.