Projects
Data-driven Prediction of Complex Systems KU Leuven
The aim of the thesis is to study the feasibility of applying black-box data driven modelling to real-life complex systems for predictive modelling. Many real-life systems and networks are critically dependent on high quality predictions, e.g. weather and climate, environmental systems, financial systems, traffic systems, power grids and others. Often a white box physical modelling is taken. The challenge in this thesis however is to study ...
Meta-level Engineering and Tooling for Complex Concurrent Systems Vrije Universiteit Brussel
Chirplet-based framework for the efficent computation of numerical diffraction in complex systems Vrije Universiteit Brussel
applications in science and industry, ranging over the whole
electromagnetic spectrum. Maxwell’s equations can be simulated
using high precision methods, but do not efficiently scale to
macroscopic objects which are several orders of magnitude larger
than the wavelength. There, computer generated holography (CGH)
algorithms are typically used to ...
Modeling of complex time-varying dynamical systems. KU Leuven
Towards a mathematical framework for the modelling of complex energy systems KU Leuven
The PhD focus will be consider/develop and compare white-box models (purely based on physical principles, governing equations), black-box models (purely based on data) and grey-box models (combining physical principles and data) to help redesigning and improving energy-intensive processes (reduced cost and more environmentally friendly), with particular attention to energy conversion (possibly between unconventional energy carriers, so-called ...
Intelligent Structuring Systems for Complex Flowing Products. KU Leuven
ISSFLOW aims at developing fundamental understanding of complex fluids to allow for the design of smart and functional gels and fluids via the development of novel rheology modifiers. A consortium of 5 partners (1 large industry, 1 SME and 3 academics) has been set up to exchange knowledge in the areas of rheology, sustainable synthesis and scale-up of novel molecules, modeling, characterization of complex fluids (including high viscous ...
Analytical and computational approaches for analysis and control of complex dynamical systems KU Leuven
The mathematical modeling of complex dynamical systems naturally leads to a decomposition into simpler subsystems. Furthermore, signal transmission between subsystems is mostly not instantaneous and has to be modeled by delay elements. This will give rise to Delay-Differential Algebraic Equation (DDAE) models. The first part of the project concerns the investigation of the theoretical properties of DDAE models, developing mathematical ...
GOODWIN: Grey-box approaches for digital twins of complex mechanical structures and systems under uncertainty. KU Leuven
This training network is aimed at training a next generation of PhD students in the development, application and exploitation of state-of-the-art techniques in multi-fidelity grey-box modelling for high-dimensional mechanical analysis under uncertainty. Specific focus is dedicated to highly transient dynamic simulations such as crash, nonlinear structural dynamics and complex systems.
In engineering simulation, mathematical models ...
Structural Health Monitoring and Predictive Maintenance of Complex Systems including Composites and 3D Printed Structures KU Leuven
Structural failure in the aerospace, civil and energy sectors can be life threatening for users/passengers and financially catastrophic for operators and the manufacturer. This is the main reason for which critical structures (i.e. aircrafts, wind turbines etc.) spend large part of their life cycle under inspection with the accompanied costs being significant. On-line detection and characterization of minor failures within complex (composite ...