Hybrid Bayesian Solution to NASA Langley Research Center Multidisciplinary Uncertainty Quantification Challenge-Reference-Cited by-同舟云学术

Hybrid Bayesian Solution to NASA Langley Research Center Multidisciplinary Uncertainty Quantification Challenge

Published:2015-01 Issue:1 Volume:12 Page:114-139
ISSN:2327-3097
Container-title:Journal of Aerospace Information Systems
language:en
Short-container-title:Journal of Aerospace Information Systems

Author:

Srivastava Ankur¹,Subramaniyan Arun K.¹,Wang Liping¹

Affiliation:

1. Mechanical Systems–Probabilistics Laboratory, GE Global Research Center, Niskayuna, New York 12309

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Aerospace Engineering

Link

http://arc.aiaa.org/doi/pdf/10.2514/1.I010266

Reference17 articles.

1. The NASA Langley Multidisciplinary Uncertainty Quantification Challenge

2. FosterJ. V.CunninghamK.FremauxC. M.ShahG. H.StewartE. C.RiversR. A.WilbornJ. E.GatoW. “Dynamics Modeling and Simulation of Large Transport Airplanes in Upset Conditions,” NASA TR-N20050214373, 2005.

3. Combining Field Data and Computer Simulations for Calibration and Prediction

4. Computer Model Calibration Using High-Dimensional Output

5. WilliamsB. J.HigdonD.GattikerJ. “Uncertainty Quantification for Combining Experimental Data and Computer Simulations,” Los Alamos National Lab. TR-LA-UR-05-7812, Albuquerque, NM, March 2005.

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