This extended abstract is a summary of [4], where a comparison of two methods for the forward uncertainty quantification (UQ) of complex industrial problems is presented. Specifically, the performance of Multi-Index Stochastic Collocation (MISC) and adaptive multi-fidelity Stochastic Radial Basis Functions (SRBF) surrogates is assessed for the UQ of a rollon/roll-off passengers ferry advancing in calm water and subject to two operational uncertainties, namely the ship speed and draught. The CFD simulations needed by both methods are performed by a multi-grid Reynolds Averaged Navier-Stokes solver.

Comparing multi-index stochastic collocation and radial basis function surrogates for ship resistance uncertainty quantification

C Piazzola;L Tamellini;R Pellegrini;R Broglia;A Serani;M Diez
2021

Abstract

This extended abstract is a summary of [4], where a comparison of two methods for the forward uncertainty quantification (UQ) of complex industrial problems is presented. Specifically, the performance of Multi-Index Stochastic Collocation (MISC) and adaptive multi-fidelity Stochastic Radial Basis Functions (SRBF) surrogates is assessed for the UQ of a rollon/roll-off passengers ferry advancing in calm water and subject to two operational uncertainties, namely the ship speed and draught. The CFD simulations needed by both methods are performed by a multi-grid Reynolds Averaged Navier-Stokes solver.
2021
Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI -
Istituto di iNgegneria del Mare - INM (ex INSEAN)
978-88-7617-050-8
uncertainty quantification
multi-fidelity
compuational fluid dynamics
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Descrizione: Comparing Multi-Index Stochastic Collocation and Radial Basis Function Surrogates for Ship Resistance Uncertainty Quantification
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/424288
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