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Citation:
 Yuan Lin,Ning Ma,Xiechong Gu.Approximation Method for Flare Slamming Analysis of Large Container Ships in Parametric Rolling Conditions[J].Journal of Marine Science and Application,2018,(3):406-413.[doi:10.1007/s11804-018-0048-y]
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Approximation Method for Flare Slamming Analysis of Large Container Ships in Parametric Rolling Conditions

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Title:
Approximation Method for Flare Slamming Analysis of Large Container Ships in Parametric Rolling Conditions
Author(s):
Yuan Lin12 Ning Ma12 Xiechong Gu12
Affilations:
Author(s):
Yuan Lin12 Ning Ma12 Xiechong Gu12
1 State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;
2 Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration, Shanghai Jiao Tong University, Shanghai 200240, China
Keywords:
Flare slammingApproximation methodParametric rollingAsymmetric effectsContainer ship
分类号:
-
DOI:
10.1007/s11804-018-0048-y
Abstract:
Since the research of flare slamming prediction is seldom when parametric rolling happens, we present an efficient approximation method for flare slamming analysis of large container ships in parametric rolling conditions. We adopt a 6-DOF weakly nonlinear time domain model to predict the ship motions of parametric rolling conditions. Unlike previous flare slamming analysis, our proposed method takes roll motion into account to calculate the impact angle and relative vertical velocity between ship sections on the bow flare and wave surface. We use the Wagner model to analyze the slamming impact forces and the slamming occurrence probability. Through numerical simulations, we investigate the maximum flare slamming pressures of a container ship for different speeds and wave conditions. To further clarify the mechanism of flare slamming phenomena in parametric rolling conditions, we also conduct real-time simulations to determine the relationship between slamming pressure and 3-DOF motions, namely roll, pitch, and heave.

References:

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Memo

Memo:
Received date:2018-5-16;Accepted date:2018-8-3。
Corresponding author:Ning Ma,ningma@sjtu.edu.cn
Last Update: 2019-03-05