135 citations · 541 across the 18 of their papers we have counts for
18 papers
Enhancing Elasticity Models: A Novel Corrective Source Term Approach for Accurate Predictions
Sondre Sørbø, Sindre Stenen Blakseth, Adil Rasheed +2
With the recent wave of digitalization, specifically in the context of safety-critical applications, there has been a growing need for computationally efficient, accurate, generali…
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions
Florian Stadtman, Adil Rasheed, Trond Kvamsdal +21
This article presents a comprehensive overview of the digital twin technology and its capability levels, with a specific focus on its applications in the wind energy industry. It c…
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…
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach
Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal +1
Upcoming technologies like digital twins, autonomous, and artificial intelligent systems involving safety-critical applications require models which are accurate, interpretable, co…
Isogeometric boundary element method for acoustic scattering by a submarine
Jon Vegard Venås, Trond Kvamsdal
Isogeometric analysis with the boundary element method (IGABEM) has recently gained interest. In this paper, the approximability of IGABEM on 3D acoustic scattering problems will b…
Isogeometric Analysis of Acoustic Scattering using Infinite Elements
Jon Vegard Venås, Trond Kvamsdal, Trond Jenserud
Isogeometric analysis (IGA) has proven to be an improvement on the classical finite element method (FEM) in several fields, including structural mechanics and fluid dynamics. In th…
Isogeometric Analysis of Acoustic Scattering with Perfectly Matched Layers (IGAPML)
Jon Vegard Venås, Trond Kvamsdal
The perfectly matched layer (PML) formulation is a prominent way of handling radiation problems in unbounded domain and has gained interest due to its simple implementation in fini…
Multi-fidelity information fusion with concatenated neural networks
Suraj Pawar, Omer San, Prakash Vedula +2
Recently, computational modeling has shifted towards the use of deep learning, and other data-driven modeling frameworks. Although this shift in modeling holds promise in many appl…
Deep neural network enabled corrective source term approach to hybrid analysis and modeling
Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal +1
In this work, we introduce, justify and demonstrate the Corrective Source Term Approach (CoSTA) -- a novel approach to Hybrid Analysis and Modeling (HAM). The objective of HAM is t…
Model fusion with physics-guided machine learning
Suraj Pawar, Omer San, Aditya Nair +2
The unprecedented amount of data generated from experiments, field observations, and large-scale numerical simulations at a wide range of spatio-temporal scales have enabled the ra…
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
Omer San, Adil Rasheed, Trond Kvamsdal
Most modeling approaches lie in either of the two categories: physics-based or data-driven. Recently, a third approach which is a combination of these deterministic and statistical…
Physics guided machine learning using simplified theories
Suraj Pawar, Omer San, Burak Aksoylu +2
Recent applications of machine learning, in particular deep learning, motivate the need to address the generalizability of the statistical inference approaches in physical sciences…
Digital Twin: Values, Challenges and Enablers
Adil Rasheed, Omer San, Trond Kvamsdal
A digital twin can be defined as an adaptive model of a complex physical system. Recent advances in computational pipelines, multiphysics solvers, artificial intelligence, big data…
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…
A simple embedded discrete fracture-matrix model for a coupled flow and transport problem in porous media
Lars H. Odsæter, Trond Kvamsdal, Mats G. Larson
Accurate simulation of fluid flow and transport in fractured porous media is a key challenge in subsurface reservoir engineering. Due to the high ratio between its length and width…
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…
Postprocessing of Non-Conservative Flux for Compatibility with Transport in Heterogeneous Media
Lars H. Odsæter, Mary F. Wheeler, Trond Kvamsdal +1
A conservative flux postprocessing algorithm is presented for both steady-state and dynamic flow models. The postprocessed flux is shown to have the same convergence order as the o…
Python Classes for Numerical Solution of PDE's
Asif Mushtaq, Trond Kvamsdal, Kåre Olaussen
We announce some Python classes for numerical solution of partial differential equations, or boundary value problems of ordinary differential equations. These classes are built on…