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System reliability evaluation of mooring system for fish cage under ultimate limit state

机译:极限状态下鱼笼系泊系统的系统可靠性评估

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This paper investigates the short-term extreme value distribution of the tension on mooring lines and the reliability of grid mooring system for fish cage under ultimate limit state. The generalized probability density evolution method (GPDEM) is employed to determine the evolution of the probability information of mooring tension. The short-term extreme tension distribution of mooring lines is evaluated through the combination of the GPDEM and the virtual stochastic process model. And the reliability analysis under ultimate limit state is conducted based on the extreme tension distribution of mooring components in grid mooring system. In addition, the equivalent extreme-value event method is adopted to perform the reliability analysis of grid mooring system for fish cage. The results indicate that the equivalent extreme-value event method has a significant advantage over the narrow bound approach in accurately predicting the system reliability and a large uncertainty of the random allowable strength largely affects the system reliability of grid mooring system. Therefore, it is of vital importance to perform the uncertainty quantification of the allowable strength for accurately conducting the system reliability analysis in order to ensure the safety of offshore net cage structures.
机译:本文研究了极限极限状态下系泊缆绳张力的短期极值分布以及网箱系泊系统的可靠性。采用广义概率密度演化法(GPDEM)确定系泊张力概率信息的演化。通过GPDEM和虚拟随机过程模型的组合来评估系泊缆的短期极端张力分布。基于网格系泊系统中系泊构件的极限拉力分布,进行了极限极限状态下的可靠度分析。另外,采用等效极值事件法对网箱网格系泊系统进行可靠性分析。结果表明,等效极值事件方法在精确预测系统可靠性方面比窄边界方法具有显着优势,随机允许强度的较大不确定性极大地影响了网格系泊系统的系统可靠性。因此,至关重要的是对允许强度进行不确定性量化,以准确地进行系统可靠性分析,以确保海上网笼结构的安全。

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