Reliability assessment of mooring system for fish cage considering one damaged mooring line

Hou, Huimin; Liu, Yong; Dong, Guohai; Xu, Tiao-Jian

doi:10.1016/j.oceaneng.2022.111626

Cited by 18 publications

(5 citation statements)

References 44 publications

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“…Stanisic et al 17 incorporated uncertainty in both modeling and strength of mooring lines in their study, providing insight into the reliability of mooring systems and piles in tropical cyclone environments. Furthermore, Hou et al 18 evaluated the reliability of a mooring system under single mooring line failure scenarios using the generalized probability density evolution method while considering the progressive failure of mooring lines. In addition, existing design standards 14,15 provide guidance on reliability analysis of mooring systems but fall short of addressing resilience, particularly in the face of these challenges.…”

Section: Introductionmentioning

confidence: 99%

Reliability‐based resilience assessment method for mooring systems under mooring failure

Yu,

Zhang,

Zhang

et al. 2024

Earthquake Engineering and Resilience

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Offshore floating structures rely heavily on their mooring systems, which can be disrupted by various events during long‐term operation. These could lead to a mooring failure, affecting the usual operations of the structure or even causing more severe hazards. Resilience provides a comprehensive evaluation of how the mooring system performs after a disaster, which is key to optimizing the structural design and operational safety. In this paper, we develop a general and user‐friendly method to quantitatively assess the resilience of mooring systems under mooring failure. We use the reliability index to represent the performance of the mooring system. We then derive its RV, ACI, and RCI, which are based on a system performance curve and reliability analysis. We also consider the effects of climate change and the corrosion of the mooring chain. These factors can significantly affect environmental loads, structural performance, and the recovery process. Moreover, an illustrative example is provided that guides us through the methodology. The proposed method is applied to assess the resilience of a certain mooring system in the South China Sea over a 30‐year service life under different failure scenarios. Our results indicate that overlooking climate change in the design and operation of the mooring system can lead to a significant overestimation of its reliability index and resilience value.

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Section: Introductionmentioning

confidence: 99%

Reliability‐based resilience assessment method for mooring systems under mooring failure

Yu,

Zhang,

Zhang

et al. 2024

Earthquake Engineering and Resilience

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“…A reliability analysis of the mooring system for fish cages in ALS conditions. shows that the failure of one mooring line significantly influences the possibility of failure of the remaining mooring lines [10].…”

Section: Introductionmentioning

confidence: 99%

Reliability Analysis on the Effect of Subsea Buoy to the Tension of Spread Mooring System

Silfiani,

Prastianto,

Murdjito

et al. 2023

IJMEIR

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⎯ A lot of research has been carried out regarding variations in mooring systems, one of which is the addition of buoys to the mooring system. In analyzing variations in mooring system designs, what needs to be considered is the reliability of the mooring lines. Therefore, in this research will analyze reliability on the effect of subsea buoy to the tension of mooring line with a variation position of subsea buoy. The variations on the position of one subsea buoy is arranged at the distance of the anchor 605 m, 577.5 m, 550 m, 522.5 and two subsea buoys at the distance from the anchor 605 m and 467.5 m. The analysis was performed for stand alone and offloading conditions with wave directions of 0 °, 45 °, 90 °, 135 °, 180 °. In this study to find the reliability of mooring lines, the author uses the Mean Value First Order Second Moment (MVFOSM) method. The results from this study, the probability of failure in the offloading condition without subsea buoy is 4.897E-17 and with subsea buoy (522.5 m) is 4.018E-17. Probability of failure in the stand alone condition without subsea buoy is 2.763E-16 and with subsea buoy (522.5 m) is 1.881E-16. From the probability of failure, the reliability of mooring lines in the offloading condition and stand alone condition without subsea buoy and with subsea buoy (522.5 m) is 1.00. The reliability calculation determined by DNV-OS E301, the results obtained meet the specified reliability criteria.

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“…The strength of the mooring cable must be guaranteed to avoid cable breakage; therefore, it is critical to perform a reliability analysis of the uncertainty quantification system for the allowable strength [178]. The reliability assessment for the fish cage with one broken mooring line by Hou, et al [179] indicated that the failure of one of the mooring lines has a substantial impact on the likelihood of failure for the other mooring lines, and when the gradual deterioration of the mooring system is not taken into account, conventional reliability methods tend to overestimate the failure probability of the mooring system. The numerical studies and fatigue reliability analysis by Hou, et al [180] also indicated that zero initial preload (when the mooring cable is in a relaxed state initially) can effectively improve the fatigue reliability of the mooring cables.…”

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confidence: 99%

“…The reliability of fish cage mooring lines under the ultimate limit state needs to be determined using the generalized probability density evolution method (GPDEM) to assess the evolution of the probability information of mooring tension [178]. For fish cages with broken mooring lines, the redistribution of tension response in the mooring system after line failure can be analyzed through numerical simulations, and the reliability of other mooring lines under the ultimate limit state can be evaluated [179]. Moreover, a transient method based on the S-N curve approach was employed to perform a fatigue reliability analysis of the shackle chains of fish cages by .…”

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confidence: 99%

Developments in Modeling Techniques for Reliability Design of Aquaculture Cages: A Review

Wang,

Ma,

Chu

et al. 2024

JMSE

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Offshore aquaculture is gaining traction due to space limitations in nearshore waters, more pristine water, cooler temperatures, and better waste dispersal. This move has spurred the development of new technologies for offshore aquaculture. Despite the numerous analysis methods for designing aquaculture infrastructure, limitations and challenges remain in modeling the influence of fish cages on flow fields and in addressing fluid–structure interaction. This paper presents a comprehensive review of analysis methods and modeling techniques applied in the design of offshore aquaculture systems, emphasizing the structural reliability analysis. This review includes statistical and predictive analysis of extreme sea conditions, evaluation of environmental loads and hydrodynamic analysis, structural reliability modeling and assessment, and seabed geotechnical responses to mooring anchors. For each design consideration, the relevant theories and applicability are elaborated upon and discussed. This review provides valuable insights for engineers involved in the development and design of offshore aquaculture infrastructure.

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Reliability assessment of mooring system for fish cage considering one damaged mooring line

Cited by 18 publications

References 44 publications

Reliability‐based resilience assessment method for mooring systems under mooring failure

Reliability‐based resilience assessment method for mooring systems under mooring failure

Reliability Analysis on the Effect of Subsea Buoy to the Tension of Spread Mooring System

Developments in Modeling Techniques for Reliability Design of Aquaculture Cages: A Review

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