Optimal uncertainty quantification with model uncertainty and legacy data

  title={Optimal uncertainty quantification with model uncertainty and legacy data},
  author={P.-H. T. Kamga and Binwu Li and Mike McKerns and Le Hoa Nguyen and Miguel Ortiz and Houman Owhadi and T. J. Sullivan},
We present an optimal uncertainty quantification (OUQ) protocol for systems that are characterized by an existing physics-based model and for which only legacy data is available, i.e., no additional experimental testing of the system is possible. Specifically, the OUQ strategy developed in this work consists of using the legacy data to establish, in a probabilistic sense, the level of error of the model, or modeling error, and to subsequently use the validated model as a basis for the… CONTINUE READING
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