Trond Kvamsdal
Background and activities
Vision: Mathematics for a better society!
My positions at NTNU are within Computational Mathematics, i.e. development of new theories/methods within Applied Mathematics and Numerical Analysis to make robust and efficient numerical software programs for challenging applications in Science and Technology.
Main area of application is Computational Mechanics, i.e. both Solid/Structural and Fluid Mechanics relevant for Civil, Mechanical, Marine, and Petroleum Engineering as well as Biomechanics, Geophysics and Renewable Energy.
Scientific, academic and artistic work
A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database
Journal publications
- (2021) Deep neural network enabled corrective source term approach to hybrid analysis and modeling. arXiv.
- (2021) Model fusion with physics-guided machine learning: Projection-based reduced-order modeling. Physics of Fluids. vol. 33 (6).
- (2021) Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution. GAMM-Mitteilungen.
- (2021) A nested multi-scale model for assessing urban wind conditions : Comparison of Large Eddy Simulation versus RANS turbulence models when operating at the finest scale of the nesting. Journal of Physics: Conference Series (JPCS). vol. 2018.
- (2021) Reduced order models for finite-volume simulations of turbulent flow around wind-turbine blades. Journal of Physics: Conference Series (JPCS). vol. 2018.
- (2021) Potential and challenges of wind measurements using met-masts in complex topography for bridge design: Part I - Integral flow characteristics. Journal of Wind Engineering and Industrial Aerodynamics. vol. 211.
- (2021) Potential and challenges of wind measurements using met-masts in complex topography for bridge design: Part II – Spectral flow characteristics. Journal of Wind Engineering and Industrial Aerodynamics. vol. 211.
- (2020) Fast divergence-conforming reduced basis methods for stationary and transient flow problems. Journal of Physics: Conference Series (JPCS). vol. 1669.
- (2020) Physics guided machine learning using simplified theories. Physics of Fluids. vol. 33 (1).
- (2020) Digital Twin: Values, Challenges and Enablers from a modelling perspective. IEEE Access. vol. 8.
- (2020) Numerical assessment of RANS turbulence models for the development of data driven Reduced Order Models. Ocean Engineering. vol. 196.
- (2020) GANs enabled super-resolution reconstruction of wind field. Journal of Physics: Conference Series (JPCS). vol. 1669 (012029).
- (2019) Fast divergence-conforming reduced basis methods for steady Navier–Stokes flow. Computer Methods in Applied Mechanics and Engineering. vol. 346.
- (2019) A simple embedded discrete fracture-matrix model for a coupled flow and transport problem in prous media. Computer Methods in Applied Mechanics and Engineering. vol. 343.
- (2019) Finite-Volume High-Fidelity Simulation Combined with Finite-Element-Based Reduced-Order Modeling of Incompressible Flow Problems. Energies. vol. 12 (7).
- (2019) High Fidelity Computational Fluid Dynamics Assessment of Wind Tunnel Turbine Test. Journal of Physics: Conference Series (JPCS). vol. 1356 (1).
- (2019) Validation of the numerical simulations of flow around a scaled-down turbine using experimental data from wind tunnel. Wind and Structures. vol. 29 (6).
- (2019) Numerical investigation of modeling frameworks and geometric approximations on NREL 5 MW wind turbine. Renewable Energy. vol. 132.
- (2019) Isogeometric boundary element method for acoustic scattering by a submarine. Computer Methods in Applied Mechanics and Engineering. vol. 359.
- (2018) Isogeometric Analysis of Acoustic Scattering using Infinite Elements. Computer Methods in Applied Mechanics and Engineering. vol. 335.
Links
Competencies
- Applied mathematics
- Construction technology
- Mathematic modelling and numerical methods
- Medical technology
- Mechanical and flow technical subjects
- Environmental engineering
- Offshore technology
- Mechanics
- Fluid mechanics
- Solid state mechanics
- Numerical mathematics
- Computational mathematics
- Reservoir mechanics
- Applied mathematics
- Structural mechanics
- Computational mechanics
- Fluid flow mechanics
- Finite element methods
- Numerical analysis
- Mathematics
- Biomechanics
- CFD
- Aerodynamic