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research-article

Validation of Uncertainty Quantification Methods for High-Fidelity CFD of Ship Response in Irregular Waves

[+] Author and Article Information
Matteo Diez

CNR-INM, National Research Council-Institute of Marine Engineering, Via di Vallerano 139, 00128 Rome, Italy
matteo.diez@cnr.it

Riccardo Broglia

CNR-INM, National Research Council-Institute of Marine Engineering, Via di Vallerano 139, 00128 Rome, Italy
riccardo.broglia@cnr.it

Danilo Durante

CNR-INM, National Research Council-Institute of Marine Engineering, Via di Vallerano 139, 00128 Rome, Italy
danilo.durante@cnr.it

Angelo Olivieri

CNR-INM, National Research Council-Institute of Marine Engineering, Via di Vallerano 139, 00128 Rome, Italy
angelo-olivieri@cnr.it

Emilio F. Campana

CNR-DIITET, National Reserach Council-Dept. of Engineering, ICT and Technologies for Energy and Transportation, Piazzale Aldo Moro 7, 00185 Roma, Italia
emiliofortunato.campana@cnr.it

Frederick Stern

The University of Iowa, 100 C. Maxwell Stanley Hydraulics Laboratory, Iowa City, Iowa 52242, USA
frederick-stern@uiowa.edu

1Corresponding author.

ASME doi:10.1115/1.4041372 History: Received March 06, 2017; Revised August 29, 2018

Abstract

The objective of the present work is the application of uncertainty quantification (UQ) methods for statistical assessment and validation of experimental and computational ship resistance and motions in irregular head waves, using both time series studies and a stochastic regular wave UQ model solved by a metamodel-based Monte Carlo method. Specifically, UQ methods are used for: (1) statistical assessment and validation of experimental and computational modeling of input irregular waves versus analytical benchmark values; (2) statistical assessment of both experimental and computational ship resistance and motions in irregular waves; (3) validation of computational ship resistance and motions in irregular waves versus experimental benchmark values; (4) statistical validation of both experimental and computational stochastic regular wave UQ model for ship resistance and motions versus irregular-wave experimental benchmark values. Methods for problem (1) include Fourier analysis for wave energy spectrum moments, analysis of the auto-covariance matrix and block-bootstrap methods for the uncertainty of wave elevation statistical moments, along with block-bootstrap methods for the uncertainty of mode and distribution. The uncertainty of wave height statistical estimators is evaluated by the bootstrap method. The same methodologies are used to evaluate statistical uncertainties associated to ship resistance and motions in problem (2). Errors and confidence intervals of statistical estimators are used to define validation criteria in problem (3) and (4). The contribution of the present work is the application and integration of UQ methodologies for the solution of problems from (1) to (4). Results are shown for the Delft catamaran.

Copyright (c) 2018 by ASME
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