A Study on the Effectiveness of the Heading Control on the Mooring Line Tension and Position Offset for an Arctic Floating Structure under Complex Environmental Loads

Kang, Hyun Hwa; Lee, Dae-Soo; Lim, Ji-Su; Lee, Seung-Jae; Jang, Jinho; Jung, Kwang Hyo; Lee, Jae Yong

doi:10.3390/jmse9020102

Cited by 5 publications

(3 citation statements)

References 19 publications

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“…The number 2 in the numerator reflects the symmetry of the autocorrelation function. Therefore, equation (12) gives m + 1 discrete and evenly spaced values. In equation (7), the integration over time t is taken over the sample length 𝑇 − 𝜏 = (𝑁 − 𝑝)∆𝑡.…”

Section: Estimation Of Power Spectrum Using Blackman and Tukey Methodsmentioning

confidence: 99%

“…A method of using machine learning techniques to predict ice resistance for ship performance analysis on sea ice is also presented [11]. One such trial combines existing commercial software with experimental data from the ice tank test [12]. Although it is still difficult to deduce the ice load due to the lack of data sets, the method can be used as a framework.…”

Section: Introductionmentioning

confidence: 99%

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Untitled

2023

Brodogradnja

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To evaluate the time-domain positioning performance of arctic marine structures, it is necessary to generate an ice load appropriate for the current position and heading of the structure. The position and orientation angle of a floating body continuously change with time. Therefore, an ice load is required for any attitude in the time-domain simulation. In this study, we present a fundamental technique for analyzing ice loads in the frequency domain based on data measured at various angles in the ice-water tank experiment. We perform spectral analysis instead of general FFT to analyze the ice load, which has the characteristics of a random signal. To generate the necessary ice load in the time domain, we must first interpolate the measured data in the frequency domain. Using the Blackman-Tukey method, we estimate the spectrum for the measured data, then process the data to generate the training set required for machine learning. Based on the results, we perform regression analysis by applying four representative techniques, including linear regression, random forest, or neural network, and compare the results with MSE. The deep neural network method performed best, but we provide further discussion for each model.

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Section: Estimation Of Power Spectrum Using Blackman and Tukey Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Untitled

2023

Brodogradnja

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“…The position of an FPSO offset is typical 8% of water depth and a 10% for damaged conditions, Turret systems commonly are installed in severe environmental conditions to allow the FPSO weathervane. In the Arctic region, the ice induced load must be considered in the design of a station-keeping system [1]. Station-keeping systems for a floating structure can be either spread mooring, single point mooring or Dynamic-positioning (DP).…”

Section: Introductionmentioning

confidence: 99%

Analysis of FPSO station keeping characteristics

Obote¹,

Festus²,

Charles³

2022

Global J. Eng. Technol. Adv.

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Nowadays with increasing production and exploration activities offshore, the FPSO system has been widely adopted globally because of its unique design system and adaptability to these offshore environmental conditions. This research project aims to provide the station-keeping characteristics of an FPSO in the West African region, by analysing an FPSO with spread mooring design for multiple load cases, different offset, multiple draught conditions and environmental loads, all acting simultaneously and dynamically on the coupled FPSO system. Static and dynamic analysis were conducted using the Orcaflex software to establish the station-keeping characteristics, the recommended practices by DNV for mooring and global performance analysis were utilized for the mooring lines in the static analysis to obtain the primary equilibrium position before the dynamic analysis was conducted and to estimate a dynamic response of the risers in dynamic analysis. The effective tension of the static and dynamic analysis results for the different draught and environmental conditions shows that the far offset had the maximum effective tension, with the fully laden effective tension been the maximum effective tension of the entire simulation. The increase in effective tension as the loading of the FPSO tanks increased caused a reduction in the bending moment radius and thereby reducing the curvature of mooring lines and riser bends. But it was the near offsets that had the minimum bending radii as expected, however, from the analysis the draught conditions provided the largest responses to the multiple loading cases when compared with the changes in the offset positions.

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Standardization in building an ANN-based mooring line top tension prediction system

Lee

2022

International Journal of Naval Architecture and Ocean Engineeri

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A Study on the Effectiveness of the Heading Control on the Mooring Line Tension and Position Offset for an Arctic Floating Structure under Complex Environmental Loads

Cited by 5 publications

References 19 publications

Untitled

Untitled

Analysis of FPSO station keeping characteristics

Standardization in building an ANN-based mooring line top tension prediction system

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