Review of methods to assess the structural response of offshore wind turbines subjected to ship impacts

Ladeira, Icaro; Marquez, Lucas; Echeverry, Sara; Sourne, Hervé Le; Rigo, Philippe

doi:10.1080/17445302.2022.2072583

Cited by 14 publications

(6 citation statements)

References 91 publications

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“…Aside from these issues, there is the need for other monitoring methods for fault diagnosis on oil and gas assets. Significant forces may be generated on the platforms and in the connection elements by environmental conditions such as wind and waves [ 118 , 119 , 120 , 121 , 122 , 123 , 124 , 350 ]. The potential places where it is safe to erect such a platform structure are largely limited by these forces [ 125 , 126 , 127 , 128 , 129 ].…”

Section: Dynamic Positioning Using Sensors On Offshore Facilitiesmentioning

confidence: 99%

“…These include the type of offshore platform [ 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 ], production operations [ 92 , 93 , 94 , 95 , 96 , 97 , 98 , 99 ], systems management model [ 100 , 101 , 102 , 103 ], fossil fuel deposits’ locations with historical exploration [ 104 , 105 , 106 , 107 , 108 , 109 , 110 , 111 , 112 , 113 , 114 , 115 , 116 , 117 ], etc. In the oil and gas industry, there are more challenges involving the application of offshore platforms in deep water locations [ 118 , 119 , 120 , 121 , 122 , 123 , 124 , 125 ]. These challenges include high water depths, harsh weather conditions, heavy windy conditions, and significant wave heights thus the need for risk assessments and facilities management [ 126 , 127 , 128 , 129 , 130 , 131 , 132 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Guidelines on Asset Management of Offshore Facilities for Monitoring, Sustainable Maintenance, and Safety Practices

Amaechi

Reda

Kgosiemang

et al. 2022

Sensors

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Recent activities in the oil and gas industry have shown an increasing need for monitoring engagements, such as in shipping, logistics, exploration, drilling, or production. Hence, there is a need to have asset management of these offshore assets (or facilities). Much of the offshore infrastructure is currently approaching or past its operational life expectancy. The study presents an overview on asset management of offshore facilities towards monitoring, safe practices, maintenance, and sustainability. This study outlines the major considerations and the steps to take when evaluating asset life extensions for an aging offshore structure (or asset). The design and construction of offshore structures require some materials that are used to make the structural units, such as offshore platform rigs, ships, and boats. Maintaining existing assets in the field and developing new platforms that are capable of extracting future oil and gas resources are the two key issues facing the offshore sector. This paper also discusses fault diagnosis using sensors in the offshore facilities. The ocean environment is constantly corrosive, and the production activities demand extremely high levels of safety and reliability. Due to the limited space and remote location of most offshore operations, producing cost-effective, efficient, and long-lasting equipment necessitates a high level of competence. This paper presents the guidelines on asset monitoring, sustainable maintenance, and safety practices for offshore structures. In this study, the management of offshore structures were also presented with some discussions on fault monitoring using sensors. It also proposes sustainable asset management approaches as guidelines that are advised, with policy implications.

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Section: Dynamic Positioning Using Sensors On Offshore Facilitiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Guidelines on Asset Management of Offshore Facilities for Monitoring, Sustainable Maintenance, and Safety Practices

Amaechi

Reda

Kgosiemang

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…The accelerating global deployment of floating wind turbines is anticipated to contribute to an upward trend in ship-floating wind turbine collisions. The theoretical construct of the Floating Offshore Wind Turbine (FOWT) was initially conceived in 1972 by Professor Heronemus of the Massachusetts Institute of Technology [2]. Nonetheless, due to limitations in technological capabilities and financial feasibility, the concept remained dormant until the 1990s.…”

Section: Introductionmentioning

confidence: 99%

The Dynamic Response of a Floating Wind Turbine under Collision Load Considering the Coupling of Wind-Wave-Mooring Loads

Zong,

Liu,

Zhang

et al. 2023

JMSE

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As the number of offshore wind turbines continues to rise and their proximity to navigational routes decreases, the risk of collisions between passing vessels and wind turbines increases, thereby presenting serious threats to the safety of personnel and equipment. Given that collisions between floating wind turbines and vessels entail a complex interplay of wind, wave, and mooring loads, this study established a bidirectional fluid-structure coupling simulation methodology based on Star-CCM+ and ABAQUS. Under the combined influences of wind, wave, and mooring loads, the study investigated the dynamic response of floating wind turbines following bow and side impacts from vessels. Analyses were conducted on the structural damage and deformation of floating wind turbines, the transformation of energy during collision processes, and the resultant motion response of the turbines. A sensitivity analysis was performed on parameters such as collision speed, collision angle, wind speed, and wave height. The findings indicate that the amplitude of pitching and heaving motions of the turbine exceed those observed under conditions devoid of collision loads, with the amplitude of motion intensifying with an increase in these parameters. The turbine’s floating body absorbed a minimal amount of internal energy, leading to minor damage, with the stress generated predominantly localized in the collision area of the floating body. The impact of a side collision from vessels exerted a larger influence on the structural dynamic response of floating wind turbines. The analysis results indicate that even though the offshore wind turbine structure is not critically damaged by ship impact, the equipment inside may still fail to work due to the high value of acceleration induced by ship impact. The research outcomes can benefit the safety design of offshore wind turbines in engineering practice.

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“…For fixed offshore structures, wind-generated random wave loads are the dominant load (Hagen, 1996;Aeran et al, 2017) to consider in maintaining reliability. While these structures can be designed by subjecting them to extreme regular waves for a 100-year return period (Abu Husain et al, 2013;Mat Soom et al, 2015;ABS, 2016), using probabilistic techniques to account for the inherent randomness of the wave loading is far more satisfactory (Syed Ahmad et al, 2022;Ladeira et al, 2022;Gadai & Xing, 2022). Prediction of extreme offshore structural response due to wind-generated random wave load is generally based on linear structural response and the Gaussian distribution of the response time history (API RP 2A, 2014).…”

Section: Introductionmentioning

confidence: 99%

Prediction of Long-Term Offshore Structural Responses Based on Nonlinear Wave Modeling

Mukhlas,

Mohd Zaki,

Abu Husain

et al. 2023

JSCET

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Wind-generated random wave loads are the dominant loads to consider for maintaining the reliability of fixed offshore structures. Based on probabilistic techniques, the inherent randomness of the wave loading can be used to predict extreme offshore structural response, which is Gaussian in nature. However, researchers have found that the hydrodynamic component and structural dynamics substantially impact the frequency spectrum, leading to a non-Gaussian stochastic offshore structural response. A finite-memory non-linear system (FMNSNL) has been proven to be an efficient approach to evaluate the non-Gaussian stochastic offshore structural response compared to the conventional method, Monte Carlo time simulation. However, the analysis has been conducted based on short-term distribution only. The most satisfactory analysis is based on long-term distribution. Hence, further investigation in this paper will evaluate the long-term probability distribution of extreme offshore structural responses. As a result, a 100-year extreme offshore structural response prediction achieves 80% to 96% accuracy compared to the Monte Carlo time simulation. The probability distribution has been evaluated using the Gumbel distribution function throughout this investigation. Still, there is a little deviation at the tail end of the distribution between the simulated response values and the fitted line. A different distribution function, such as the Generalised Extreme Value (GEV) distribution, is advised for future work.

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Review of methods to assess the structural response of offshore wind turbines subjected to ship impacts

Cited by 14 publications

References 91 publications

Guidelines on Asset Management of Offshore Facilities for Monitoring, Sustainable Maintenance, and Safety Practices

Guidelines on Asset Management of Offshore Facilities for Monitoring, Sustainable Maintenance, and Safety Practices

The Dynamic Response of a Floating Wind Turbine under Collision Load Considering the Coupling of Wind-Wave-Mooring Loads

Prediction of Long-Term Offshore Structural Responses Based on Nonlinear Wave Modeling

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