Hull form optimisation in waves based on CFD technique. (17th February 2018)

• Record Type: Journal Article
• Authors: Zhang, Shenglong; Tezdogan, Tahsin; Zhang, Baoji; Xu, Leping; Lai, Yuyang
• Is Part Of: Ships and offshore structures. Volume 13:Number 2(2018)
• Page Start: 149
• Page End: 164
• Publication Date: 2018-02-17
• Subjects: Hull form optimisation -- CFD -- numerical wave tank -- ASD technique -- hybrid algorithm; Ships -- Periodicals; Offshore structures -- Periodicals; Marine engineering -- Periodicals; Marine engineering -- Technological innovations -- Periodicals; Ocean engineering -- Periodicals; Ocean engineering -- Technological innovations -- Periodicals; 623.8
• DOI: 10.1080/17445302.2017.1347231
• Languages: English
• ISSNs: 1744-5302

Abstract

ABSTRACT: The seakeeping behavior of a ship in waves is different from its behavior in calm water. The resistance and seakeeping performance of a ship must be considered in the early-stage design. Therefore, this paper proposes a hull form optimization framework aiming to achieve the minimum total resistance in waves using a computational fluid dynamics (CFD) technique. A sinusoidal wave is adopted to establish the numerical wave tank and the overset mesh technique is used to facilitate the motions of the ships in question. The total resistance of the hull in waves is regarded as the objective function which is calculated using the Reynolds averaged Navier–Stokes (RANS) method. The arbitrary shape deformation (ASD) technique is used to change the geometry. Under displacement and design variables, a hybrid algorithm is developed to evaluate the objective function combining the optimal Latin hypercube design (Opt LHD) and the non-linear programming by quadratic Lagrangian (NLPQL) algorithm. Finally, two examples of hull form optimization are presented and discussed for David Taylor Model Basin (DTMB) model 5512 and WIGLEY III cases. The results show the effectiveness of the optimization framework developed in the present study, which can lay the foundation for further optimization of full-scale ships.