Publikasjoner og ansvarsområder
Potential and challenges of wind measurements using met-masts in complex topography for bridge design: Part II – Spectral flow characteristics
This study quantifies the influence of the local topography on sonic anemometer measurements mounted on tall met-masts deployed in Norwegian fjords. This assessment is done by analysing the second-order structure of turbulence in the frequency space. The objective is to evaluate how the data...
Deep neural network enabled corrective source term approach to hybrid analysis and modeling
Physics guided machine learning using simplified theories
Towards Understanding Wind Impact for Drone Operations: A Comparison of Wind Models Operating on Different Scales in a Nested Multiscale Set-Up
Fast divergence-conforming reduced basis methods for stationary and transient flow problems
GANs enabled super-resolution reconstruction of wind field
Numerical assessment of RANS turbulence models for the development of data driven Reduced Order Models
Digital Twin: Values, Challenges and Enablers from a modelling perspective
Digital twin can be defined as a virtual representation of a physical asset enabled through data and simulators for real-time prediction, optimization, monitoring, controlling, and improved decision making. Recent advances in computational pipelines, multiphysics solvers, artificial intelligence...