33 citations · 41 across the 5 of their papers we have counts for
5 papers
Machine Learning (ML) based Reduced Order Modeling (ROM) for linear and non-linear solid and structural mechanics
Mikhael Tannous, Chady Ghnatios, Eivind Fonn +2
Multiple model reduction techniques have been proposed to tackle linear and non linear problems. Intrusive model order reduction techniques exhibit high accuracy levels, however, t…
Digital Twin for Wind Energy: Latest updates from the NorthWind project
Adil Rasheed, Florian Stadtmann, Eivind Fonn +12
NorthWind, a collaborative research initiative supported by the Research Council of Norway, industry stakeholders, and research partners, aims to advance cutting-edge research and…
PoroTwin: A digital twin for a FluidFlower rig
Eirik Keilegavlen, Eivind Fonn, Kjetil Johannessen +6
We present a framework for integrated experiments and simulations of tracer transport in heterogeneous porous media using digital twin technology. The physical asset in our setup i…
Fast divergence-conforming reduced basis methods for steady Navier-Stokes flow
Eivind Fonn, Harald van Brummelen, Trond Kvamsdal +1
Reduced-basis methods (RB methods or RBMs) form one of the most promising techniques to deliver numerical solutions of parametrized PDEs in real-time performance with reasonable ac…
On Mixed Isogeometric Analysis of Poroelasticity
Yared W. Bekele, Eivind Fonn, Trond Kvamsdal +2
Pressure oscillations at small time steps have been known to be an issue in poroelasticity simulations. A review of proposed approaches to overcome this problem is presented. Criti…