Error and variability characterization in structural dynamics modeling

DOI10.1016/j.cma.2007.07.029zbMath1140.74013OpenAlexW2067507462MaRDI QIDQ929058

Sankaran Mahadevan, John McFarland

Publication date: 12 June 2008

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2007.07.029

zbMATH Keywords

Gaussian processesmodel validationMarkov chain Monte Carlo simulation

Mathematics Subject Classification ID

Related Items (4)

Bayesian inference method for model validation and confidence extrapolation ⋮ Structural dynamics challenge problem: summary ⋮ Robust model updating with insufficient data ⋮ Structural dynamics model updating with interval uncertainty based on response surface model and sensitivity analysis

Uses Software

• bootstrap

Cites Work

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• A distribution-free approach to inducing rank correlation among input variables
• Sandia National Laboratories Validation Workshop: Structural dynamics application
• Principal component analysis.
• Measures of agreement between computation and experiment: validation metrics
• An Approximate Method for Sampling Correlated Random Variables from Partially-Specified Distributions
• An analysis of variance test for normality (complete samples)
• Monte Carlo sampling methods using Markov chains and their applications

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