Quantification of model uncertainty: Calibration, model discrepancy, and identifiability

@article{Arendt2012QuantificationOM,
  title={Quantification of model uncertainty: Calibration, model discrepancy, and identifiability},
  author={Paul D. Arendt and D. Apley and Wei Chen},
  journal={Journal of Mechanical Design},
  year={2012},
  volume={134},
  pages={100908}
}
  • Paul D. Arendt, D. Apley, Wei Chen
  • Published 2012
  • Mathematics
  • Journal of Mechanical Design
  • To use predictive models in engineering design of physical systems, one should first quantify the model uncertainty via model updating techniques employing both simulation and experimental data. While calibration is often used to tune unknown calibration parameters of a computer model, the addition of a discrepancy function has been used to capture model discrepancy due to underlying missing physics, numerical approximations, and other inaccuracies of the computer model that would exist even if… CONTINUE READING
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