首页|CFD-based hull optimization in calm water using adaptive grid deformation method

CFD-based hull optimization in calm water using adaptive grid deformation method

扫码查看
This paper presents an adaptive grid deformation technique for optimizing ship hull forms using computational fluid dynamics(CFD).The proposed method enables accurate and smooth updates of the hull surface and 3-D CFD grids in response to design variables.This technique incorporates a two-level point-transformation approach to move the grid points by a few design points.Initially,generic B-splines are utilized to transform grid points according to the displacements of the control points within a defined control box.This ensures surface modification accuracy and smoothness,similar to those provided by non-uniform rational B-splines.Subsequently,radial basis functions are used to interpolate the movements of the control points with a limited set of design points.The developed method effectively maintains the mesh quality and simulation efficiency.By applying this method to surface and grid adaptation,a regression model is proposed in the form of a second-order polynomial to represent the relationship between the geometric parameters and design variables.This polynomial is then used to introduce geometric constraints.Furthermore,a radial basis function surrogate model for the calm-water resistance is constructed to approximate the objective function.An enhanced optimization framework is proposed for CFD-based hull optimization and applied to KVLCC2 to validate its feasibility and efficiency.

Hull-form optimizationadaptive grid deformationship resistanceOpenFOAMradial basis function(RBF)surrogate model

Shuguang Wang、Yonghwan Kim

展开 >

Department of Naval Architecture and Ocean Engineering,Seoul National University,Seoul,Korea

Lloyd's Register FoundationResearch Institute of Engineering Research(IOER)Research Institute of Marine Systems Engineering(RIMSE)at Seoul National University

GA100050

2024

水动力学研究与进展B辑
中国船舶科学研究中心

水动力学研究与进展B辑

CSTPCDEI
影响因子:0.596
ISSN:1001-6058
年,卷(期):2024.36(2)