Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates

Huang, Jiangeng; Gramacy, Robert B.

doi:10.1080/00401706.2022.2104931

Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates

Journal Article · 19 September 2022 · Technometrics

DOI:https://doi.org/10.1080/00401706.2022.2104931· OSTI ID:2423797

Huang, Jiangeng ^[1]; Gramacy, Robert B. ^[2]

Genentech, Inc., South San Francisco, CA
Department of Statistics, Virginia Tech, Blacksburg, VA

Not provided.

Research Organization:: Argonne National Laboratory (ANL), Argonne, IL (United States)

Sponsoring Organization:: USDOE

DOE Contract Number:: AC02-06CH11357

OSTI ID:: 2423797

Journal Information:: Technometrics, Journal Name: Technometrics Journal Issue: 4 Vol. 64; ISSN 0040-1706

Publisher:: Taylor & Francis

Country of Publication:: United States

Language:: English

References (36)

A Comparison of Rotordynamic-Coefficient Predictions for Annular Honeycomb Gas Seals Using Three Different Friction-Factor Models D’Souza, Rohan J.; Childs, Dara W. Journal of Tribology, Vol. 124, Issue 3 https://doi.org/10.1115/1.1456086	journal	May 2002
Calibration of computer models with multivariate output Paulo, Rui; García-Donato, Gonzalo; Palomo, Jesús Computational Statistics & Data Analysis, Vol. 56, Issue 12 https://doi.org/10.1016/j.csda.2012.05.023	journal	December 2012
Microstructure reconstruction and structural equation modeling for computational design of nanodielectrics Zhang, Yichi; Zhao, He; Hassinger, Irene Integrating Materials and Manufacturing Innovation, Vol. 4, Issue 1 https://doi.org/10.1186/s40192-015-0043-y	journal	December 2015
Microcolony and biofilm formation as a survival strategy for bacteria Johnson, Leah R. Journal of Theoretical Biology, Vol. 251, Issue 1 https://doi.org/10.1016/j.jtbi.2007.10.039	journal	March 2008
Local Gaussian Process Approximation for Large Computer Experiments Gramacy, Robert B.; Apley, Daniel W. Journal of Computational and Graphical Statistics, Vol. 24, Issue 2 https://doi.org/10.1080/10618600.2014.914442	journal	April 2015
Using Statistical and Computer Models to Quantify Volcanic Hazards Bayarri, M. J.; Berger, James O.; Calder, Eliza S. Technometrics, Vol. 51, Issue 4 https://doi.org/10.1198/TECH.2009.08018	journal	November 2009
Jointly Robust Prior for Gaussian Stochastic Process in Emulation, Calibration and Variable Selection Gu, Mengyang Bayesian Analysis, Vol. 14, Issue 3 https://doi.org/10.1214/18-BA1133	journal	September 2019
A Theoretical Framework for Calibration in Computer Models: Parametrization, Estimation and Convergence Properties Tuo, Rui; Jeff Wu, C. F. SIAM/ASA Journal on Uncertainty Quantification, Vol. 4, Issue 1 https://doi.org/10.1137/151005841	journal	January 2016
Modeling satellite drag coefficients with response surfaces Mehta, Piyush M.; Walker, Andrew; Lawrence, Earl Advances in Space Research, Vol. 54, Issue 8 https://doi.org/10.1016/j.asr.2014.06.033	journal	October 2014
Deep Gaussian Processes for Calibration of Computer Models (with Discussion) Marmin, Sébastien; Filippone, Maurizio Bayesian Analysis, Vol. 17, Issue 4 https://doi.org/10.1214/21-BA1293	journal	December 2022
A frequentist approach to computer model calibration Wong, Raymond K. W.; Storlie, Curtis B.; Lee, Thomas C. M. Journal of the Royal Statistical Society: Series B (Statistical Methodology), Vol. 79, Issue 2 https://doi.org/10.1111/rssb.12182	journal	May 2016
Exploratory designs for computational experiments Morris, Max D.; Mitchell, Toby J. Journal of Statistical Planning and Inference, Vol. 43, Issue 3 https://doi.org/10.1016/0378-3758(94)00035-T	journal	February 1995
Scaled Gaussian Stochastic Process for Computer Model Calibration and Prediction Gu, Mengyang; Wang, Long SIAM/ASA Journal on Uncertainty Quantification, Vol. 6, Issue 4 https://doi.org/10.1137/17M1159890	journal	January 2018
Bayesian Calibration of Inexact Computer Models Plumlee, Matthew Journal of the American Statistical Association, Vol. 112, Issue 519 https://doi.org/10.1080/01621459.2016.1211016	journal	July 2016
Improving Identifiability in Model Calibration Using Multiple Responses Arendt, Paul D.; Apley, Daniel W.; Chen, Wei Journal of Mechanical Design, Vol. 134, Issue 10 https://doi.org/10.1115/1.4007573	journal	September 2012
Computer model validation with functional output Bayarri, M. J.; Berger, J. O.; Cafeo, J. The Annals of Statistics, Vol. 35, Issue 5 https://doi.org/10.1214/009053607000000163	journal	October 2007
Learning about physical parameters: the importance of model discrepancy Brynjarsdóttir, Jenný; OʼHagan, Anthony Inverse Problems, Vol. 30, Issue 11 https://doi.org/10.1088/0266-5611/30/11/114007	journal	October 2014
Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation Fadikar, Arindam; Higdon, Dave; Chen, Jiangzhuo SIAM/ASA Journal on Uncertainty Quantification, Vol. 6, Issue 4 https://doi.org/10.1137/17M1161233	journal	January 2018
Bayesian emulation of complex multi-output and dynamic computer models Conti, Stefano; O’Hagan, Anthony Journal of Statistical Planning and Inference, Vol. 140, Issue 3 https://doi.org/10.1016/j.jspi.2009.08.006	journal	March 2010
Spectral density estimation for random fields via periodic embeddings Guinness, Joseph Biometrika, Vol. 106, Issue 2 https://doi.org/10.1093/biomet/asz004	journal	April 2019
Computer Model Calibration Using High-Dimensional Output Higdon, Dave; Gattiker, James; Williams, Brian Journal of the American Statistical Association, Vol. 103, Issue 482 https://doi.org/10.1198/016214507000000888	journal	June 2008
Bayesian calibration of computer models Kennedy, Marc C.; O'Hagan, Anthony Journal of the Royal Statistical Society: Series B (Statistical Methodology), Vol. 63, Issue 3 https://doi.org/10.1111/1467-9868.00294	journal	August 2001
Computer model calibration with confidence and consistency Plumlee, Matthew Journal of the Royal Statistical Society: Series B (Statistical Methodology), Vol. 81, Issue 3 https://doi.org/10.1111/rssb.12314	journal	March 2019
A Bulk-Flow Theory for Turbulence in Lubricant Films Hirs, G. G. Journal of Lubrication Technology, Vol. 95, Issue 2 https://doi.org/10.1115/1.3451752	journal	April 1973
Modularization in Bayesian analysis, with emphasis on analysis of computer models Liu, F.; Bayarri, M. J.; Berger, J. O. Bayesian Analysis, Vol. 4, Issue 1 https://doi.org/10.1214/09-BA404	journal	March 2009
Calibrating a large computer experiment simulating radiative shock hydrodynamics Gramacy, Robert B.; Bingham, Derek; Holloway, James Paul The Annals of Applied Statistics, Vol. 9, Issue 3 https://doi.org/10.1214/15-AOAS850	journal	September 2015
On‐site surrogates for large‐scale calibration Huang, Jiangeng; Gramacy, Robert B.; Binois, Mickaël Applied Stochastic Models in Business and Industry, Vol. 36, Issue 2 https://doi.org/10.1002/asmb.2523	journal	March 2020
Surrogates Gramacy, Robert B. https://doi.org/10.1201/9780367815493	book	January 2020
The Bayesian estimation of common parameters from several responses Box, G. E. P.; Draper, N. R. Biometrika, Vol. 52, Issue 3-4 https://doi.org/10.1093/biomet/52.3-4.355	journal	December 1965
Calibration and Uncertainty Analysis for Computer Simulations with Multivariate Output McFarland, John; Mahadevan, Sankaran; Romero, Vicente AIAA Journal, Vol. 46, Issue 5 https://doi.org/10.2514/1.35288	journal	May 2008
The Design and Analysis of Computer Experiments Santner, Thomas J.; Williams, Brian J.; Notz, William I. Springer Series in Statistics https://doi.org/10.1007/978-1-4939-8847-1	book	January 2018
Dynamic Characterization of Tilting Pad Journal Bearings From Component and System Level Testing Delgado, Adolfo; Librashi, Mirko; Vannini, Giuseppe Volume 7: Structures and Dynamics, Parts A and B https://doi.org/10.1115/GT2012-69851	conference	June 2012
The Acoustic Influence of Cell Depth on the Rotordynamic Characteristics of Smooth-Rotor/Honeycomb-Stator Annular Gas Seals Kleynhans, G. F.; Childs, D. W. Journal of Engineering for Gas Turbines and Power, Vol. 119, Issue 4 https://doi.org/10.1115/1.2817079	journal	October 1997
Combining Field Data and Computer Simulations for Calibration and Prediction Higdon, Dave; Kennedy, Marc; Cavendish, James C. SIAM Journal on Scientific Computing, Vol. 26, Issue 2 https://doi.org/10.1137/S1064827503426693	journal	January 2004
Efficient calibration for imperfect computer models Tuo, Rui; Wu, C. F. Jeff The Annals of Statistics, Vol. 43, Issue 6 https://doi.org/10.1214/15-AOS1314	journal	December 2015
Parallel partial Gaussian process emulation for computer models with massive output Gu, Mengyang; Berger, James O. The Annals of Applied Statistics, Vol. 10, Issue 3 https://doi.org/10.1214/16-AOAS934	journal	September 2016

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