Publicaties
Gekozen filters:
Gekozen filters:
A reduced order model for fast prediction of field drift based on validated CFD simulations Instituut voor Landbouw-, Visserij- en Voedingsonderzoek
Reduced order models for railway induced vibration based on the Proper Generalized Decomposition. KU Leuven
A model order reduction technique, the Proper Generalized Decomposition (PGD), is presented for the assessment of railway induced vibration. The methodology is elaborated for 2.5D track-soil models exploiting the geometrical invariance of the track and soil. Firstly, the standard PGD methodology is described. The formulation is introduced for a beam on aWinkler foundation and extended to a 2.5D ballast track. Secondly, two alternative PGD ...
Reduced order models for the incompressible NavierU+2010Stokes equations on collocated grids using a U+2018discretizeU+2010thenU+2010projectU+2019 approach Universiteit Gent
Filter bank approach to create state space models of reduced order frequency dependent vibro-acoustic finite element models KU Leuven
In recent years reduced order modeling techniques for vibro-acoustic systems that are modeled with numerical techniques, such as the finite element method, have been established as a key technology in digital twin design. By reducing the order of the system, the complexity of the model can be alleviated to such a degree that the model can be run in a (near-)real time environment, allowing for integration of the model on an embedded system ...
1D-3D Nesting: Embedding reduced order flexible multibody models in system-level wind turbine drivetrain models KU Leuven
A Wind Turbine (WT) is a complex system in which many sub-systems interact and influence one another. To properly predict its behavior through simulation, a system-level modelling approach is necessary. A system-level model can capture the complex multiphysical interactions between sub-systems. Port-based modelling tools (e.g. AMESim, Simscape) offer an appealing solution to build such system-level models, as the assembly of a model is ...
Vibro-acoustic fault detection using a numerical time reversal method with reduced order models KU Leuven
In recent years, time reversal has been recognized as a potentially effective tool for structural health monitoring. By exploiting the property that the time reversed wave should converge to the original source location, a defect can be detected by sending the time reversed output data through a set of reference models with different fault locations. In this work simulated time reversed acoustic pressure and structural vibration signals are ...
Parameterized reduced order models with guaranteed passivity using matrix interpolation Vrije Universiteit Brussel
We present a novel parameterized model order reduction method based on matrix interpolation. The design space is sampled over an estimation grid and for each estimation point a Krylov subspace is computed. A common projection matrix is generated by the truncation of the singular values of the merged Krylov subspaces of all estimation points from the design space. The reduced matrices are then interpolated using positive interpolation schemes ...
Design of sensor networks for instantaneous inversion of modally reduced order models in structural dynamics KU Leuven
In structural dynamics, the forces acting on a structure are often not well known. System inversion techniques may be used to estimate these forces from the measured response of the structure. This paper first derives conditions for the invertibility of linear system models that apply to any instantaneous input estimation or joint input-state estimation algorithm. The conditions ensure the identifiability of the dynamic forces and system states, ...