Parametric hull shape variations by Reduced Order Model based geometric transformation

Abstract The representation and the variation of hull shapes are two challenging problems in naval architecture due to the complexity of the geometry and to the need to ensure the fairness of the surfaces. Conventional CAD techniques are widely used to accurately describe the hull shape. However, they are rather complex to be easily used to generate hull shape variations due to the great number of variables involved. We propose a study to highlight the pro and cons of the application of space reduction techniques, usually referred to as Reduced Order Models (ROMs), to create a parametric model for both global and local hull shape variations. A geometric transformation relying on the Proper Orthogonal Decomposition (POD) method is applied on top of a combined subdivision surface — Free Form Deformation (FFD) approach conceived for modeling and variation of hull shapes. The analysis focuses on highlighting the geometric meaning of the new POD basis functions and on how this model affects the variability of the explored design space. Two studies are developed in order to show possible applications of this technique. In the first one a new set of selection criteria for the POD modes based on geometric considerations are proposed to use it on uncorrelated geometric domains. In the latter the large-dimensional space of the so-called Design Velocities (DV), related to the shape sensitivity, is reduced by using the POD approach to create a new transformation of the hull shape.

[1]  S. Gaggero,et al.  Hydrodynamic shape optimization by high fidelity CFD solver and Gaussian process based response surface method , 2019, Applied Ocean Research.

[2]  F. Pérez,et al.  Constrained design of simple ship hulls with B-spline surfaces , 2011, Comput. Aided Des..

[3]  Frederick Stern,et al.  Stochastic optimization methods for ship resistance and operational efficiency via CFD , 2018 .

[4]  Diego Villa,et al.  Experimental investigation of pressure pulses and radiated noise for two alternative designs of the propeller of a high-speed craft , 2017 .

[5]  Thomas W. Sederberg,et al.  Free-form deformation of solid geometric models , 1986, SIGGRAPH.

[6]  Karen Willcox,et al.  Proper orthogonal decomposition extensions for parametric applications in compressible aerodynamics , 2003 .

[7]  Akira Oyama,et al.  Data Mining of Pareto-Optimal Transonic Airfoil Shapes Using Proper Orthogonal Decomposition , 2010 .

[8]  Charles T. Loop,et al.  Quad/Triangle Subdivision , 2003, Comput. Graph. Forum.

[9]  Rakesh K. Kapania,et al.  A POD-based Reduced Order Design Scheme for Shape Optimization of Air Vehicles , 2012 .

[10]  Ahmad H. Nasri,et al.  Polyhedral subdivision methods for free-form surfaces , 1987, TOGS.

[11]  Diego Villa,et al.  Efficient and multi-objective cavitating propeller optimization: An application to a high-speed craft , 2017 .

[12]  Andrea Serani,et al.  Towards Augmented Design-Space Exploration via Combined Geometry and Physics Based Karhunen-Loève Expansion , 2017 .

[13]  Erkan Gunpinar,et al.  A novel design framework for generation and parametric modification of yacht hull surfaces , 2017 .

[14]  Horst Nowacki,et al.  Form Parameter Based Design of Hull Shapes as Volume and Surface Objects , 2005 .

[15]  Herbert J. Koelman,et al.  A technical note on the geometric representation of a ship hull form , 2013, Comput. Aided Des..

[16]  Vladimir Shigunov,et al.  Duisburg Test Case: Post-Panamax Container Ship for Benchmarking , 2012 .

[17]  Giuliano Vernengo,et al.  A reduced order approach for optimal design of efficient marine propellers , 2020, Ships and Offshore Structures.

[18]  Giuliano Vernengo,et al.  Ship synthesis model for the preliminary design of a fleet of compressed natural gas carriers , 2014 .

[19]  Jos Stam,et al.  Exact evaluation of Catmull-Clark subdivision surfaces at arbitrary parameter values , 1998, SIGGRAPH.

[20]  Juan Antonio Clemente,et al.  Parametric Generation, Modeling, and Fairing of Simple Hull Lines With the Use of Nonuniform Rational B-Spline Surfaces , 2008 .

[21]  Diego Villa,et al.  Design of ducted propeller nozzles through a RANSE-based optimization approach , 2017 .

[22]  Giulio Dubbioso,et al.  Modal analysis of the wake past a marine propeller , 2018, Journal of Fluid Mechanics.

[23]  Gianluigi Rozza,et al.  Model Order Reduction by means of Active Subspaces and Dynamic Mode Decomposition for Parametric Hull Shape Design Hydrodynamics , 2018, 1803.07377.

[24]  Apostolos Papanikolaou,et al.  Holistic ship design optimization , 2010, Comput. Aided Des..

[25]  M. Diez,et al.  Design-space dimensionality reduction in shape optimization by Karhunen–Loève expansion , 2015 .

[26]  A M Kracht,et al.  DESIGN OF BULBOUS BOWS , 1978 .

[27]  Giuliano Vernengo,et al.  Automatic computer driven optimization of innovative hull forms for marine vehicles , 2011 .

[28]  Juan J. Alonso,et al.  Airfoil design optimization using reduced order models based on proper orthogonal decomposition , 2000 .

[29]  L. Sirovich Turbulence and the dynamics of coherent structures. I. Coherent structures , 1987 .

[30]  Giuliano Vernengo,et al.  Numerical investigation on the hydrodynamic performance of fast SWATHs with optimum canted struts arrangements , 2017 .

[31]  Gianluigi Rozza,et al.  Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems , 2017, Advanced Modeling and Simulation in Engineering Sciences.

[32]  Panagiotis D. Kaklis,et al.  A multi - Objective optimization environment for shiphull design based on a BEM - Isogeometric solver , 2013 .

[33]  Antonio Coppedé,et al.  A combined approach based on Subdivision Surface and Free Form Deformation for smart ship hull form design and variation , 2018 .

[34]  Jong-Ho Nam,et al.  A curve based hull form variation with geometric constraints of area and centroid , 2017 .

[35]  Andy J. Keane,et al.  Geometric filtration using POD for aerodynamic design optimization , 2008 .

[36]  Horst Nowacki,et al.  Five decades of Computer-Aided Ship Design , 2010, Comput. Aided Des..

[37]  M. Sabin,et al.  NURBS with extraordinary points: high-degree, non-uniform, rational subdivision schemes , 2009, SIGGRAPH 2009.

[38]  Kazuo Yonekura,et al.  A Shape Parameterization Method Using Principal Component Analysis in Applications to Parametric Shape Optimization , 2014 .

[39]  Panagiotis D. Kaklis,et al.  Ship-hull shape optimization with a T-spline based BEM-isogeometric solver , 2015 .

[40]  K. Willcox,et al.  Aerodynamic Data Reconstruction and Inverse Design Using Proper Orthogonal Decomposition , 2004 .

[41]  Sandrine Lanquetin,et al.  Curvilinear constraints for free form deformations on subdivision surfaces , 2010, Math. Comput. Model..

[42]  Milan Curkovic,et al.  Efficient shape parameterization method for multidisciplinary global optimization and application to integrated ship hull shape optimization workflow , 2016, Comput. Aided Des..

[43]  Daniele Venturi,et al.  Gappy data and reconstruction procedures for flow past a cylinder , 2004, Journal of Fluid Mechanics.