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Unal, A. Pozzoli, L. Karaca, M. A major challenge in next generation industrial applications is to improve numerical analysis by quantifying uncertainties in predictions.
In this work we present a formulation of a fully nonlinear and dispersive potential flow water wave model with random inputs for the probabilistic description. at different points in the parameter space, allowing for the reuse of existing simulation software.
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We revisit experimental. benchmarks often used for validation of deterministic water wave models. Based on numerical experiments and assumed uncertainties in boundary data, our analysis reveals that some of the known discrepancies from deterministic simulation in comparison with experimental measurements could be partially explained.
The atmospheric dispersion component of CSA Standard Bnn dating gehandicapten gemistos. 1, which provides guidelines for calculating derived release limits, has been tested.