1 code implementation • 2 Aug 2023 • Matteo Torzoni, Marco Tezzele, Stefano Mariani, Andrea Manzoni, Karen E. Willcox
This work proposes a predictive digital twin approach to the health monitoring, maintenance, and management planning of civil engineering structures.
no code implementations • 24 Feb 2023 • Nicola Demo, Marco Tezzele, Gianluigi Rozza
We propose to couple the model reduction to a machine learning residual learning, such that the above-mentioned error can be learned by a neural network and inferred for new predictions.
1 code implementation • 22 Jul 2021 • Francesco Romor, Marco Tezzele, Gianluigi Rozza
In this work we propose a new method called local active subspaces (LAS), which explores the synergies of active subspaces with supervised clustering techniques in order to carry out a more efficient dimension reduction in the parameter space.
1 code implementation • 16 Oct 2020 • Francesco Romor, Marco Tezzele, Gianluigi Rozza
We can augment the inputs with the observations of low-fidelity models in order to learn a more expressive latent manifold and thus increment the model's accuracy.
no code implementations • 27 Aug 2020 • Francesco Romor, Marco Tezzele, Andrea Lario, Gianluigi Rozza
Nonlinear extensions to the active subspaces method have brought remarkable results for dimension reduction in the parameter space and response surface design.
Numerical Analysis Numerical Analysis 15A18, 15A60, 41A30, 41A63, 65D15, 65N30
1 code implementation • 12 Jun 2020 • Nicola Demo, Marco Tezzele, Gianluigi Rozza
In this work, we present an extension of the genetic algorithm (GA) which exploits the supervised learning technique called active subspaces (AS) to evolve the individuals on a lower dimensional space.
Numerical Analysis Numerical Analysis Optimization and Control
1 code implementation • 15 Jan 2020 • Marco Tezzele, Nicola Demo, Giovanni Stabile, Andrea Mola, Gianluigi Rozza
In this work we present an advanced computational pipeline for the approximation and prediction of the lift coefficient of a parametrized airfoil profile.
Numerical Analysis Numerical Analysis
no code implementations • 30 Jul 2019 • Nicola Demo, Marco Tezzele, Gianluigi Rozza
Using this space, an approximation of the numerical solution for new parameters can be computed in real-time response scenario, thanks to the reduced dimensionality of the problem.
Numerical Analysis Numerical Analysis
1 code implementation • 15 May 2019 • Nicola Demo, Marco Tezzele, Andrea Mola, Gianluigi Rozza
Mandatory ingredient for the ROM methods is the relation between the high-fidelity solutions and the parameters.
Numerical Analysis
1 code implementation • 15 May 2019 • Andrea Mola, Marco Tezzele, Mahmoud Gadalla, Federica Valdenazzi, Davide Grassi, Roberta Padovan, Gianluigi Rozza
AS analysis has also been used to carry out a constrained optimization exploiting response surface method in the reduced parameter space, and a sensitivity analysis based on such surrogate model.
Computational Engineering, Finance, and Science Numerical Analysis
1 code implementation • 14 May 2019 • Marco Tezzele, Nicola Demo, Gianluigi Rozza
In previous works we studied the reduction of the parameter space in naval engineering through AS [38, 10] focusing on different parts of the hull.
Numerical Analysis
no code implementations • 21 Nov 2018 • Fabrizio Garotta, Nicola Demo, Marco Tezzele, Massimo Carraturo, Alessandro Reali, Gianluigi Rozza
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.
Numerical Analysis
2 code implementations • 29 Oct 2018 • Marco Tezzele, Nicola Demo, Andrea Mola, Gianluigi Rozza
In this work we present an integrated computational pipeline involving several model order reduction techniques for industrial and applied mathematics, as emerging technology for product and/or process design procedures.
Numerical Analysis
no code implementations • 20 Mar 2018 • Marco Tezzele, Nicola Demo, Mahmoud Gadalla, Andrea Mola, Gianluigi Rozza
We present the results of the application of a parameter space reduction methodology based on active subspaces (AS) to the hull hydrodynamic design problem.
Numerical Analysis
1 code implementation • 20 Mar 2018 • Nicola Demo, Marco Tezzele, Gianluca Gustin, Gianpiero Lavini, Gianluigi Rozza
Shape optimization is a challenging task in many engineering fields, since the numerical solutions of parametric system may be computationally expensive.
Numerical Analysis
1 code implementation • 19 Jan 2018 • Nicola Demo, Marco Tezzele, Andrea Mola, Gianluigi Rozza
To this end, a fully automated procedure has been implemented to produce several small shape perturbations of an original hull CAD geometry which are then used to carry out high-fidelity flow simulations and collect data for the active subspaces analysis.
Numerical Analysis
1 code implementation • 29 Nov 2017 • Marco Tezzele, Francesco Ballarin, Gianluigi Rozza
In this chapter we introduce a combined parameter and model reduction methodology and present its application to the efficient numerical estimation of a pressure drop in a set of deformed carotids.
Numerical Analysis
1 code implementation • 11 Sep 2017 • Marco Tezzele, Filippo Salmoiraghi, Andrea Mola, Gianluigi Rozza
We present the results of the first application in the naval architecture field of a methodology based on active subspaces properties for parameters space reduction.
Numerical Analysis