Earth Science and Engineering, Imperial College London
Doi
Abstract
The ability to distinguish between regions with different material properties is essential
when numerically modelling many physical systems. Using a dual control volume
mesh that avoids the problem of corner coupling, the HyperC face value scheme is extended
to multiple dimensions and applied as a device for material advection on unstructured
simplex meshes. The new scheme performs well at maintaining sharp interfaces
between materials and is shown to produce small advection errors, comparable to those
of standard material advection methods on structured meshes. To further minimise numerical
diffusion of material interfaces a total variation bounded
flux limiter, UltraC, is
defined using a normalised variable diagram.
Combining the material tracking scheme with dynamically adapting meshes, the use
of a minimally dissipative bounded projection algorithm for interpolating fields from
the old mesh to the new, optimised mesh is demonstrated that conserves the mass of
each material. More generally, material conservation during the advection process is
ensured through the coupling of the material tracking scheme to the momentum and mass
equations. A new element pair for the discretisation of velocity and pressure is proposed
that maintains the stability of the system while conserving the mass of materials.
When modelling multiple materials the use of independent advection algorithms for
each material can lead to the problem of non-physical material overlap. A novel coupled
flux limiter is developed to overcome this problem. This automatically generalises
to arbitrary numbers of materials. Using the fully coupled (and rigorously verified)
multi-material model, several geophysically relevant simulations are presented examining
the generation of waves by landslides. The model is validated by demonstrating
close agreement between model predictions and experimental results of wave generation,
propagation and run-up. The simulations also showcase the powerful capabilities of an
unstructured, adaptive multi-material model in real world scenarios