most citedNon-Intrusive Reduced-Order Modeling Using Uncertainty-Aware Deep Neural Networks and Proper Orthogonal Decomposition: Application to Flood Modeling

72 citations · 72 across the 2 of their papers we have counts for

collaborators
Showing math.NAShow all

1 paper · 1 filter

math.NA2021

A non-intrusive reduced-order modelling for uncertainty propagation of time-dependent problems using a B-splines Bézier elements-based method and Proper Orthogonal Decomposition: application to dam-break flows

Azzedine Abdedou, Azzeddine Soulaïmani

A proper orthogonal decomposition-based B-splines Bézier elements method (POD-BSBEM) is proposed as a non-intrusive reduced-order model for uncertainty propagation analysis for sto…