Publicaties
A robust and efficient stepwise regression method for building sparse polynomial chaos expansions Vrije Universiteit Brussel
A statistical approach for building sparse polynomial chaos expansions Vrije Universiteit Brussel
Uncertainty quantification in industrial turbo-machinery design using sparse polynomial chaos expansions Vrije Universiteit Brussel
The NASA Rotor 37 is investigated in a probabilistic framework accounting for the presence of many geometrical and operational uncertainties. Their combined influence on the aerodynamic performance of the transonic compressor rotor is quantified and an a posteriori sensitivity analysis is performed, highlighting the most influential parameters driving the aerodynamic performance indicators’ variability. The propagation of uncertainties is ...
Uncertainty Quantification for Thermodynamic Simulations with High-Dimensional Input Spaces Using Sparse Polynomial Chaos Expansion: Retrofit of a Large Thermal Power Plant Vrije Universiteit Brussel
The assessment of the future thermodynamics performance of a retrofitted heat and power production unit is prone to many uncertainties due to the large number of parameters involved in the modeling of all its components. To carry out uncertainty quantification analysis, alternatives to the traditional Monte Carlo method must be used due to the large stochastic dimension of the problem. In this paper, sparse polynomial chaos expansion (SPCE) ...