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 Jung-Hyun Kim,Yonghwan Kim.Numerical Computation of Motions and Structural Loads for Large Containership using 3D Rankine Panel Method[J].Journal of Marine Science and Application,2017,(4):417-426.[doi:10.1007/s11804-017-1435-5]
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Numerical Computation of Motions and Structural Loads for Large Containership using 3D Rankine Panel Method


Numerical Computation of Motions and Structural Loads for Large Containership using 3D Rankine Panel Method
Jung-Hyun Kim Yonghwan Kim
Jung-Hyun Kim Yonghwan Kim
Department of Naval Architecture & Ocean Engineering, Seoul National University, Seoul 08826, Korea
Rankine panel methodfluid-structure interactionbenchmark testcontainershipspringingwhipping
In this paper, we present the results of our numerical seakeeping analyses of a 6750-TEU containership, which were subjected to the benchmark test of the 2nd ITTC-ISSC Joint Workshop held in 2014. We performed the seakeeping analyses using three different methods based on a 3D Rankine panel method, including 1) a rigid-body solver, 2) a flexible-body solver using a beam model, and 3) a flexible-body solver using the eigenvectors of a 3D Finite Element Model (FEM). The flexible-body solvers adopt a fully coupled approach between the fluid and structure. We consider the nonlinear Froude-Krylov and restoring forces using a weakly nonlinear approach. In addition, we calculate the slamming loads on the bow flare and stern using a 2D generalized Wagner model. We compare the numerical and experimental results in terms of the linear response, the time series of the nonlinear response, and the longitudinal distribution of the sagging and hogging moments. The flexible-body solvers show good agreement with the experimental model with respect to both the linear and nonlinear results, including the high-frequency oscillations due to springing and whipping vibrations. The rigid-body solver gives similar results except for the springing and whipping.


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Received date:2016-12-06;Accepted date:2017-05-06。
Foundation item:Supported by Lloyd’s Register Foundation (LRF)-Funded Research Center at SNU (LRFC)
Corresponding author:Yonghwan Kim,Email:yhwankim@snu.ac.kr
Last Update: 2017-12-02