Model Order Reduction by means of Active Subspaces and Dynamic Mode Decomposition for Parametric Hull Shape Design Hydrodynamics

We present the results of the application of a parameter space reduction methodology based on active subspaces (AS) to the hull hydrodynamic design problem. Several parametric deformations of an initial hull shape are considered to assess the influence of the shape parameters on the hull wave resistance. Such problem is relevant at the preliminary stages of the ship design, when several flow simulations are carried out by the engineers to establish a certain sensibility with respect to the parameters, which might result in a high number of time consuming hydrodynamic simulations. The main idea of this work is to employ the AS to identify possible lower dimensional structures in the parameter space. The complete pipeline involves the use of free form deformation to parametrize and deform the hull shape, the high fidelity solver based on unsteady potential flow theory with fully nonlinear free surface treatment directly interfaced with CAD, the use of dynamic mode decomposition to reconstruct the final steady state given only few snapshots of the simulation, and the reduction of the parameter space by AS, and shared subspace. Response surface method is used to minimize the total drag.

[1]  Carlos Alberto Brebbia,et al.  The Boundary Element Method for Engineers , 1978 .

[2]  Gianluigi Rozza,et al.  PyDMD: Python Dynamic Mode Decomposition , 2018, J. Open Source Softw..

[3]  Franco Dassi,et al.  Curvature-adapted remeshing of CAD surfaces , 2018, Engineering with Computers.

[4]  Gianluigi Rozza,et al.  Free Form Deformation Techniques Applied to 3D Shape Optimization Problems , 2013 .

[5]  Luca Heltai,et al.  Ship Sinkage and Trim Predictions Based on a CAD Interfaced Fully Nonlinear Potential Model , 2016 .

[6]  Steven L. Brunton,et al.  Dynamic mode decomposition - data-driven modeling of complex systems , 2016 .

[7]  Luca Heltai,et al.  Isogeometric analysis-based reduced order modelling for incompressible linear viscous flows in parametrized shapes , 2016, Advanced Modeling and Simulation in Engineering Sciences.

[8]  Stefano Lucidi,et al.  Ship hydrodynamic optimization by local hybridization of deterministic derivative-free global algorithms , 2016 .

[9]  Gianluigi Rozza,et al.  An efficient shape parametrisation by free-form deformation enhanced by active subspace for hull hydrodynamic ship design problems in open source environment , 2018, 1801.06369.

[10]  P. Schmid,et al.  Dynamic mode decomposition of numerical and experimental data , 2008, Journal of Fluid Mechanics.

[11]  Gianluigi Rozza,et al.  Efficient geometrical parametrisation techniques of interfaces for reduced-order modelling: application to fluid–structure interaction coupling problems , 2014 .

[12]  Stefan Menzel,et al.  On Shape Deformation Techniques for Simulation-Based Design Optimization , 2015 .

[13]  Juan J. Alonso,et al.  Active Subspaces for Shape Optimization , 2014 .

[14]  Robert F. Beck,et al.  Time-domain computations for floating bodies , 1994 .

[15]  Frederick Stern,et al.  Towing Tank Experiments of Resistance, Sinkage and Trim, Boundary Layer, Wake, and Free Surface Flow Around a Naval Combatant Insean 2340 Model , 2001 .

[16]  P. Constantine,et al.  Active Subspaces of Airfoil Shape Parameterizations , 2017, 1702.02909.

[17]  G. Rozza,et al.  Combined Parameter and Model Reduction of Cardiovascular Problems by Means of Active Subspaces and POD-Galerkin Methods , 2017, 1711.10884.

[18]  Gianluigi Rozza,et al.  Numerical Simulation of Sailing Boats: Dynamics, FSI, and Shape Optimization , 2012 .

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

[20]  Zhuyin Ren,et al.  Shared low-dimensional subspaces for propagating kinetic uncertainty to multiple outputs , 2018 .

[21]  Paul G. Constantine,et al.  Time‐dependent global sensitivity analysis with active subspaces for a lithium ion battery model , 2016, Stat. Anal. Data Min..

[22]  Paul G. Constantine,et al.  Active Subspaces - Emerging Ideas for Dimension Reduction in Parameter Studies , 2015, SIAM spotlights.

[23]  Luca Heltai,et al.  A stable and adaptive semi-Lagrangian potential model for unsteady and nonlinear ship-wave interactions , 2012, 1203.3384.

[24]  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.