activity
20172026
most citedA digital twin framework for civil engineering structures

170 citations · 763 across the 30 of their papers we have counts for

collaborators
Showing 2018Show all

6 papers · 1 filter

math.NA2018★ 24 cited

Advances in Reduced Order Methods for Parametric Industrial Problems in Computational Fluid Dynamics

Gianluigi Rozza, Haris Malik, Nicola Demo +4

Reduced order modeling has gained considerable attention in recent decades owing to the advantages offered in reduced computational times and multiple solutions for parametric prob…

math.NA2018★ 18 cited

Reduced Order Isogeometric Analysis Approach for PDEs in Parametrized Domains

Fabrizio Garotta, Nicola Demo, Marco Tezzele +3

In this contribution, we coupled the isogeometric analysis to a reduced order modelling technique in order to provide a computationally efficient solution in parametric domains. In…

math.NA2018★ 30 cited

An integrated data-driven computational pipeline with model order reduction for industrial and applied mathematics

Marco Tezzele, Nicola Demo, Andrea Mola +1

In this work we present an integrated computational pipeline involving several model order reduction techniques for industrial and applied mathematics, as emerging technology for p…

math.NA2018★ 28 cited

Shape Optimization by means of Proper Orthogonal Decomposition and Dynamic Mode Decomposition

Nicola Demo, Marco Tezzele, Gianluca Gustin +2

Shape optimization is a challenging task in many engineering fields, since the numerical solutions of parametric system may be computationally expensive. This work presents a novel…

math.NA2018★ 23 cited

Model Order Reduction by means of Active Subspaces and Dynamic Mode Decomposition for Parametric Hull Shape Design Hydrodynamics

Marco Tezzele, Nicola Demo, Mahmoud Gadalla +2

We present the results of the application of a parameter space reduction methodology based on active subspaces (AS) to the hull hydrodynamic design problem. Several parametric defo…

math.NA2018★ 5 cited

An efficient shape parametrisation by free-form deformation enhanced by active subspace for hull hydrodynamic ship design problems in open source environment

Nicola Demo, Marco Tezzele, Andrea Mola +1

In this contribution, we present the results of the application of a parameter space reduction methodology based on active subspaces to the hull hydrodynamic design problem. Severa…