摘要
This study proposes a novel partitioned decomposition approach based on the improved single-phase level-set model,spectral wave explicit Navier-Stokes equations(SWENSE)model,and the implicit-inner-iteration motion-solving method for accurate and efficient solution of wave-ship-sloshing interaction.A hybrid functional-decomposition method is employed to accurately and efficiently solve the wave-ship interaction in the external domain,while using the original viscous method for simulating sloshing in the internal domain.The issues of non-conservation and boundary conditions for free surface motion in the original level-set model are addressed for the improved single-phase level-set model.The ability of this approach to predict sloshing,and seakeeping performance with/without sloshing is evaluated by comparing numerical results with experimental data.Further,the effects of sloshing,different DOFs(degrees of freedoms),wavelengths,wave heights and wave directions on ship motions and added resistance are investigated.Findings include confirmation that the proposed level-set method is reliable for predicting sloshing behaviors,and that the partitioned functional-decomposition approach is superior for modeling wave-ship-sloshing interactions.Surge motions are found to have a significant influence on sloshing behaviors and added resistance,causing peak frequency offsets and considerable changes in peak values.Nonlinear characteristics in seakeeping performance of ships with sloshing effects result from the combined effects of nonlinear wave-ship interaction and nonlinear sloshing behaviors.The effects of sloshing on ship motions and added resistance stem from the interaction between sloshing-induced forces/moments and corresponding motions,as well as changes in the natural characteristics of ships due to the presence of the free surface of the inner tank.
基金
Project supported by the National Natural Science Foundation of China(Grant Nos.52471328,524B2150 and 52071148)
supported by the Special Study on Civil Aircraft of Ministry of Industry and Information Technology(Grant No.MJZ5-3N21-1)
the Postdoctoral Fellowship Program of CPSF(Grant No.GZC20250185).
