886 citations · 1.5k across the 17 of their papers we have counts for
18 papers
Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots
Dongwei Ye, Valeria Krzhizhanovskaya, Alfons G. Hoekstra
Parametric reduced-order modelling often serves as a surrogate method for hemodynamics simulations to improve the computational efficiency in many-query scenarios or to perform rea…
Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling
Dongwei Ye, Pavel Zun, Valeria Krzhizhanovskaya +1
In-Stent Restenosis is a recurrence of coronary artery narrowing due to vascular injury caused by balloon dilation and stent placement. It may lead to the relapse of angina symptom…
Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model
Dongwei Ye, Anna Nikishova, Lourens Veen +2
Uncertainty estimations are presented of the response of a multiscale in-stent restenosis model, as obtained by both non-intrusive and semi-intrusive uncertainty quantification. Th…
Shear Thickening of Dense Suspensions: The Role of Friction
Vishnu Sivadasan, Eric Lorenz, Alfons G. Hoekstra +1
Shear thickening of particle suspensions is characterized by a transition between lubricated and frictional contacts between the particles. Using 3D numerical simulations, we study…
Sensitivity analysis based dimension reduction of multiscale models
Anna Nikishova, Giovanni E. Comi, Alfons G. Hoekstra
In this paper, the sensitivity analysis of a single scale model is employed in order to reduce the input dimensionality of the related multiscale model, in this way, improving the…
Semi-intrusive uncertainty propagation for multiscale models
Anna Nikishova, Alfons G. Hoekstra
A family of semi-intrusive uncertainty propagation (UP) methods for multiscale models is introduced. The methods are semi-intrusive in the sense that inspection of the model is lim…