A Hull Form Modification Method Based on Radial Basis Function and Its Application in Inverse Hull Optimization

摘要

Recently, evolution algorithm is wildly adopted in solving optimizationrnproblem which needs a large number of iterative steps to search optimalrnsolution. In this study, Levenberg-Marquardt method (LMM) isrnemployed in inverse hull optimization and the technique of radial basisrnfunction (RBF) interpolation is used to modify the hull form and reducernthe number of the design variables. Specifically, firstly the basicrnprinciple of the RBF interpolation and LMM are elaborated. Then anrninverse optimization platform is developed including the technique ofrnRBF interpolation, LMM and CFD code. Finally, the platform isrnapplied to optimize the bulbous bow of the KCS standard model. Thernresults show that the technique of RBF interpolation can generaternsmooth hull surface and its application in inverse optimization designrnhas the advantage of short time costing and high efficiency.