Model-Adaptive Simulation of Hierarchical Shallow Water Moment Equations in One Dimension
Rik Verbiest, Julian Koellermeier

TL;DR
This paper introduces adaptive simulation methods for hierarchical shallow water moment equations, enabling efficient and accurate modeling of free surface flows with changing complexity over time.
Contribution
It develops the first adaptive simulation framework for shallow water moment equations, including two coupling approaches and error estimators for model switching.
Findings
Achieves up to 60% speedup over fixed complexity models.
Maintains high accuracy in simulating dam-break and wave interactions.
Demonstrates effective adaptivity in hierarchical shallow water models.
Abstract
Shallow free surface flows are often characterized by both subdomains that require high modeling complexity and subdomains that can be sufficiently accurately modeled with low modeling complexity. Moreover, these subdomains may change in time as the water flows through the domain. This motivates the need for space and time adaptivity in the simulation of shallow free surface flows. In this paper, we develop the first adaptive simulations using the recently developed Shallow Water Moment Equations, which are an extension of the standard Shallow Water Equations that allow for vertically changing velocity profiles by including additional variables and equations. The model-specific modeling complexity of a shallow water moment model is determined by its order. The higher the order of the model, the more variables and equations are included in the model. Shallow water moment models are…
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Taxonomy
TopicsTropical and Extratropical Cyclones Research · Computational Fluid Dynamics and Aerodynamics · Fluid Dynamics Simulations and Interactions
