FREQUENCY DISPERSION IN DEPTH-INTEGRATED MODELS THROUGH MACHINE LEARNING SURROGATES
ICCE 2022
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Cómo citar

FREQUENCY DISPERSION IN DEPTH-INTEGRATED MODELS THROUGH MACHINE LEARNING SURROGATES. (2023). Coastal Engineering Proceedings, 37, waves.54. https://doi.org/10.9753/icce.v37.waves.54

Resumen

Boussinesq- type wave models have the accuracy to resolve wave propagation in coastal zones, having the ability to capture nearshore dynamics that include both nonlinear and dispersive effects for relatively short waves. The accuracy of Boussinesq type models over their counterparts which utilize the non- linear shallow water (NLSW) equations provides a clear advantage in studying nearshore processes. However, the computational expense of finding the Boussinesq solution over the NLSW solution hinders fast and/ or real time simulation using Boussinesq type models.
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Referencias

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Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.

Derechos de autor 2023 Maile McCann, Patrick Lynett, Behzad Ebrahimi