activity
20202022
most citedAnalytical Benchmark Problems for Multifidelity Optimization Methods

16 citations · 27 across the 5 of their papers we have counts for

collaborators

6 papers

physics.flu-dyn2022

Multi-fidelity hydrodynamic analysis of an autonomous surface vehicle at surveying speed in deep water subject to variable payload

Riccardo Pellegrini, Simone Ficini, Angelo Odetti +3

Autonomous surface vehicles (ASV) allow the investigation of coastal areas, ports and harbors as well as harsh and dangerous environments such as the arctic regions. Despite receiv…

math.OC202216 cited

Analytical Benchmark Problems for Multifidelity Optimization Methods

L. Mainini, A. Serani, M. P. Rumpfkeil +11

The paper presents a collection of analytical benchmark problems specifically selected to provide a set of stress tests for the assessment of multifidelity optimization methods. In…

math.OC20218 cited

Assessing the Performance of an Adaptive Multi-Fidelity Gaussian Process with Noisy Training Data: A Statistical Analysis

Simone Ficini, Umberto Iemma, Riccardo Pellegrini +2

Despite the increased computational resources, the simulation-based design optimization (SBDO) procedure can be very expensive from a computational viewpoint, especially if high-fi…

physics.flu-dyn20211 cited

Recurrent-type Neural Networks for Real-time Short-term Prediction of Ship Motions in High Sea State

Danny D'Agostino, Andrea Serani, Frederick Stern +1

The prediction capability of recurrent-type neural networks is investigated for real-time short-term prediction (nowcasting) of ship motions in high sea state. Specifically, the pe…

math.DS20212 cited

Data-driven Modelling of Ship Maneuvers in Waves via Dynamic Mode Decomposition

Matteo Diez, Andea Serani, Emilio F. Campana +1

A data-driven and equation-free approach is proposed and discussed to model ships maneuvers in waves, based on the dynamic mode decomposition (DMD). DMD is a dimensionality-reducti…

math.NA2020

Uncertainty Quantification of Ship Resistance via Multi-Index Stochastic Collocation and Radial Basis Function Surrogates: A Comparison

Chiara Piazzola, Lorenzo Tamellini, Riccardo Pellegrini +3

This paper presents a comparison of two methods for the forward uncertainty quantification (UQ) of complex industrial problems. Specifically, the performance of Multi-Index Stochas…