10 papers
Modeling the Hydrodynamics in the Oslofjord using ADCIRC
Matthew Scarborough, Kai Håkon Christensen, Albert Cerrone +2
This study introduces a new unstructured computational mesh for hydrodynamic simulations of the Oslofjord. The mesh was created with global bathymetry and shoreline data, using Oce…
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs
Jinpai Zhao, Nishant Panda, Yen Ting Lin +3
We introduce HyCOP, a modular framework that learns parametric PDE solution operators by composing simple modules (advection, diffusion, learned closures, boundary handling) in a q…
Collocation-based Robust Physics Informed Neural Networks for time-dependent simulations of pollution propagation under thermal inversion conditions on Spitsbergen
Leszek Siwik, Maciej Sikora, Natalia LeszczyÅska +7
In this paper, we propose a Physics-Informed Neural Network framework for time-dependent simulations of pollution propagation originating from moving emission sources. We formulate…
Wildfires Quasi-Implicit Alternative-Direction Simulations using Isogeometric Finite Element Method
Juliusz Wasieleski, Tomasz SÅużalec, Maciej Woźniak +7
We develop a wildfire simulation model that evolves the temperature scalar field using an energy balance equation accounting for heat generation, transport, and loss. For these equ…
Operator Learning for Surrogate Modeling of Wave-Induced Forces from Sea Surface Waves
Shukai Cai, Sourav Dutta, Mark Loveland +4
Wave setup plays a significant role in transferring wave-induced energy to currents and causing an increase in water elevation. This excess momentum flux, known as radiation stress…
Coupled Continuous-Discontinuous Galerkin Finite Element Solver for Compound Flood Simulations
Chayanon Wichitrnithed, Eirik Valseth, Shintaro Bunya +2
Several recent tropical cyclones, e.g., Hurricane Harvey (2017), have lead to significant rainfall and resulting runoff. When the runoff interacts with storm surge, the resulting f…