12 citations · 13 across the 3 of their papers we have counts for
6 papers
Efficient Uncertainty Quantification and Sensitivity Analysis in Epidemic Modelling using Polynomial Chaos
Bjørn Jensen, Allan P. Engsig-Karup, Kim Knudsen
In the political decision process and control of COVID-19 (and other epidemic diseases), mathematical models play an important role. It is crucial to understand and quantify the un…
The DeRisk database: Extreme Design Waves for Offshore Wind Turbines
Fabio Pierella, Ole Lindberg, Henrik Bredmose +3
The estimation of extreme loads from waves is an essential part of the design of an offshore wind turbine. Standard design codes suggest to either use simplified methods based on r…
Efficient p-multigrid spectral element model for water waves and marine offshore structures
Allan P. Engsig-Karup, Wojciech Laskowski
In marine offshore engineering, cost-efficient simulation of unsteady water waves and their nonlinear interaction with bodies are important to address a broad range of engineering…
Reduced Order Modeling for Nonlinear PDE-constrained Optimization using Neural Networks
Nikolaj Takata Mücke, Lasse Hjuler Christiansen, Allan Peter Karup-Engsig +1
Nonlinear model predictive control (NMPC) often requires real-time solution to optimization problems. However, in cases where the mathematical model is of high dimension in the sol…
Spectral/hp element methods: recent developments, applications, and perspectives
Hui Xu, Chris D. Cantwell, Carlos Monteserin +3
The spectral/hp element method combines the geometric flexibility of the classical h-type finite element technique with the desirable numerical properties of spectral methods, empl…
A Stabilised Nodal Spectral Element Method for Fully Nonlinear Water Waves, Part 2: Wave-body interaction
A. P. Engsig-Karup, C. Monteserin, C. Eskilsson
We present a new stabilised and efficient high-order nodal spectral element method based on the Mixed Eulerian Lagrangian (MEL) method for general-purpose simulation of fully nonli…