bluuebunny/crossref_metadata_2025_split huggingface dataset:
Representation of Breaking Wave Kinematics in the Fully Nonlinear Potential Flow Model REEF3D::FNPF
Authors: Pakozdi Csaba , Kamath Arun , Wang Weizhi , Bihs Hans 
Published: December 2020

Abstract
Robust simulations over three-hours are essential to represent a stationary sea state and derive wave statistics and structural response of marine structures in a reliable manner. This means that the numerical model used for the simulation of the sea state should be computationally efficient, stable and accurate. The fully nonlinear potential flow (FNPF) model solving the Laplace equations is found to be a good tool for this application. The drawback of using the FNPF model is the representation of wave breaking. Due to the assumptions of irrotational flow, it is not possible to represent an overturning free surface which occurs as a result of wave breaking. Therefore, there is a need to investigate a method to represent the effect of wave breaking in an efficient yet accurate manner. In this paper, the open-source model REEF3D::FNPF is used. The model demonstrates good robust performance and stability even in the presence of breaking waves in the domain. However, it is noticed that the free surface in the aftermath of wave breaking is slightly over predicted. This results in waves in the post-breaking region that are higher and steeper than expected after wave breaking. This difference can be avoided by incorporating techniques to correctly reduce the wave energy in the post-breaking region by the means of a reasonable damping mechanism.
Breaking waves generated in the facility at SINTEF Ocean/NTNU are simulated in REEF3D::FNPF. Earlier presented results of Star-CCM+ [1] are used in the comparison. The free surface measured at several different locations in the Small towing tank are compared to the numerical results. As published earlier, the CFD model represents the model test data well. Further, the effect of wave breaking in the numerical models is investigated by comparing the numerical results from both models. The difference in the free surface representation is used to analyze the damping factor required in the FNPF model, compared to the wave kinematics represented in the CFD model. Further, REEF3D::FNPF is used to carry out three-hour long simulations with the JONSWAP spectrum in intermediate water depth conditions in order to identify the influence of the breaking model parameters on the statistical properties of the generated waves and compared against model test data.
Effect of a Passive Tuned Mass Damper on Offshore Installation of a Wind Turbine Nacelle
Authors: Jiang Zhiyu , Skrudland Trond Kvia , Karimirad Madjid , Michailides Constantine , Shi Wei 
Published: December 2020

Abstract
Although the installation of offshore wind turbines takes place in calm seas, successful mating of wind turbine components can be challenging due to the relative motions between the two mating parts. This work investigates the effect of a passive tuned mass damper on the mating processes of a nacelle for a 10-megawatt (MW) offshore wind turbine. A nacelle with lifting wires and a monopile with a mass damper are respectively modelled using the multibody formulation in the HAWC2 program. A single mass damper is tuned to target at the first natural period of the monopile and is coupled to the main program using a dynamic link library. Afterwards, numerical simulations were carried out in turbulent wind conditions and irregular wave conditions typical of offshore installation scenarios. Important response variables including the tower-top motions, nacelle motions, and their relative motions are examined in the analysis. By comparing the time series and response statistics, we found that the tower-top motion is more crucial to the installation process than the lifted nacelle motion. For the relative motions and velocities between the nacelle and the tower top, the tuned mass damper can reduce the short-term maximum values by more than 50% for the examined sea states with spectral period between 4 to 12 seconds. This implies that the weather window for marine operations can be expanded if the tuned mass damper is applied.
Leading Edge Erosion of Wind Turbine Blades: Effects of Environmental Parameters on Impact Velocities and Erosion Damage Rate
Authors: Verma Amrit Shankar , Jiang Zhiyu , Ren Zhengru , Teuwen Julie J. E. 
Published: December 2020

Abstract
Leading edge erosion (LEE) of a wind turbine blade (WTB) is a complex phenomenon that contributes to high operation and maintenance costs. The impact between rain droplets and rotating blades exerts cyclic fatigue stresses on the leading edge — causing progressive material loss and reduced aerodynamic performance. One of the most important parameters for erosion modelling and damage prediction is the relative impact velocity between rain droplets and rotating blade and depends upon the environmental conditions. The environmental condition, in general, could vary for onshore and offshore wind turbines (OWTs) — for instance, the presence of wave-induced loads along with less turbulent wind and varying rainfall conditions in the offshore environment. The present paper tries to provide guidelines whether all these parameters need to be included for LEE modelling. Aero-hydro-servo-elastic simulations are carried out for a rotating blade based on the NREL 5 MW turbine by considering realistic environmental conditions for a land-based wind turbine and monopile-supported OWT. Further, the impact velocities and erosion damage rate, evaluated using a surface fatigue model, are analysed and compared for different environmental conditions. It is found that rainfall intensity and turbulence intensity influences the impact velocity minorly, however, has a substantial effect on the overall erosion damage rate. For instance, for the investigated load cases, an 8% increase in the impact velocity is observed when the turbulence intensity increases from 6% to 26%, which indicates an increase of erosion damage rate by more than 40%. Furthermore, no substantial influence is found due to the effects of wave-induced loads on the wind turbine.
Wavetank Tests With a 1:20 Scale Model of a Distensible Tube Device for Wave Power Harnessing in the Azores
Authors: Mendes António C. , Braga Francisco P. , Chaplin John R. 
Published: December 2020

Abstract
The present research focuses on the performance assessment of a wave power system targeted for electrical supply of small communities in the Azores Archipelago. Firstly, the wave power potential and wave directionality in the region is assessed. The data collected points to a device capable of withstanding severe wave climate. The device considered herein incorporates a long rubber tube filled with water, floating head to waves, connected to an oscillating-water-column (OWC) in a shaft. The shaft and power take-off system (PTO) are to be mounted on an offshore jacket platform. By interacting with the incoming ocean waves the tube excites the OWC at its stern, thereafter forcing air in and out of the pneumatic chamber through a turbine-generator set. It has been observed that this device performs as a multiresonant attenuator that couples the tube’s surging motion and longitudinal pressure bulges with the water column oscillations. In our physical model the power take-off’s nonlinear impedance is emulated by means of a set of calibrated orifice plates with different diameters, connecting the pneumatic chamber to the atmosphere. A series of tests have been carried out with a 1:20 scale physical model in wave-tank, undertaken in regular waves that translate to 5 to 9 seconds wave period in full-scale. Two sets of waves were launched, whose wave heights cover a range from 1 to 5 m in real sea conditions, in deep water as well as in intermediate water depths. The pressure inside the chamber and the free-surface displacement in the shaft have been monitored, as well as the wave field. They provide estimates of the extracted power and energy capture efficiency of the system as a function of incident wave period. Scale effects are also addressed by comparison with previous experiments at different scales. Moreover, the amplification coefficient with the tube in position is quantified and compared with typical values for OWCs alone. It is worth noting that the accuracy of the power and energy capture predictions is greatly dependent on the volume flow calculations. Miller’s algorithm for compressible flow has been applied to reduce the uncertainty of volume flow calculations across the PTO orifice. The influences of the resonant operating modes and PTO impedance upon the capture-width are also discussed. The results obtained so far enable us to provide reliable estimates of absorbed power and energy capture efficiency, in prototype dimensions, under the wave climate in the Azores namely at Corvo Island.
Statistical Analysis of In-Line Interaction of Closely Spaced Cylinder Arrays in Random Waves
Authors: Lu Jiangnan , Niedzwecki J. M. 
Published: December 2020

Abstract
Closely spaced cylinder arrays are widely used in offshore platform designs. When subject to random waves and currents, their interactive response behavior is very complicated and perhaps beyond the ability of direct analytical formulations to model their motions. In this study extremal statistics methods were utilized to analyze model basin data that investigated the response behavior of in-line paired and triple deep-water cylinder arrays. The cylinder models used in the model basin experiments were constructed with an ABS outer plastic shell that surrounded an inner steel wire core that could be pretensioned. The cylinder model diameter ratio of the outer shell to steel wire was 4.25 with a slenderness ratio of approximately 1300. The cylinder arrays were pretensioned on the top side and were tested varying pitch to diameter ratios of 3.0, 4.4, and 8.75. The random sea states were simulated using a JONSWAP spectrum. The response time series were investigated using generalized extreme value (GEV) distributions that were fitted to the block maxima that represented the maximum in-line relative displacement between two adjacent tendons. The most appropriate models were selected by comparing their goodness of fit via the Anderson-Darling (AD) test criterion with special attentions paid to their performance in fitting the upper tail of the distribution. The selected models were then used to predict threshold-crossing probabilities of the cylinder array relative response behavior. Both tabular and graphical interpretations of the findings are presented and discussed.
Flow-Induced Vibration Screening of a Thermoplastic Composite Pipe Water Injection Jumper
Authors: Pontaza Juan P. , Nadathur Varadarajan , Rosche John L. 
Published: December 2020

Abstract
An active subsea field in the Gulf of Mexico has adopted a thermoplastic composite pipe (TCP) water injection jumper for its waterflood upgrade. The TCP spool is lightweight and flexible — relative to the traditional steel-only spool segments used in subsea jumpers. As such, the flow-induced vibration (FIV) threat from internal fluid flow must be assessed for the intended service. A three-tiered approach is used to assess the level of FIV threat expected in this TCP subsea jumper application. A high-level screening based on widely used industry guidelines indicates a high susceptibility to FIV fatigue failure for the steel product in the jumper, with no applicability to the TCP material. A comprehensive screening based on structural finite element analysis and computational fluid dynamics shows that the vibration levels and stress cycling due to FIV will be acceptable for the intended water injection application and a 30-year design life, when adopting a factor of safety of 10 for subsea service.
An Efficient Method for Hydrate Plugging Prevention During Deep-Water Gas Well Testing
Authors: Zhang Jianbo , Wang Zhiyuan , Lou Wenqiang , Duan Wenguang , Fu Weiqi , Yin Bangtang , Sun Baojiang , Liu Jian 
Published: December 2020

Abstract
Hydrate plugging is an important factor affecting the safety and efficiency of flow assurance. Current prevention methods for hydrate plugging are costly or environmentally unfriendly or inefficient. In this work, an efficient method to prevent hydrate plugging during deep-water gas well testing was put forward, which is achieved by reasonably changing the testing orders of different gas production rates. The deposited hydrates in the tubing under low testing rates will be decomposed under high rates to reduce the risk of hydrate plugging without hydrate inhibitor injection. A case study is carried out to investigate the applicability of this method. The results show that the maximum dimensionless thickness of hydrate deposit reaches 68.14% under the conventional testing order, but decreases to 33.59% by using the proposed method. It is indicated that the proposed method can obviously decrease the risk of hydrate plugging without using hydrate inhibitor injection. Hence, the proposed method is a more economical and environmentally friendly method for hydrate plugging prevention, which can be applied as an alternative to the present prevention methods during deep-water gas well testing.
A Bayesian Machine Learning Approach for Efficient Integrity Management of Steel Lazy Wave Risers
Authors: Hejazi Rasoul , Grime Andrew , Randolph Mark , Efthymiou Mike 
Published: December 2020

Abstract
In-service integrity management (IM) of steel lazy wave risers (SLWRs) can benefit significantly from quantitative assessment of the overall risk of system failure as it can provide an effective tool for decision making. SLWRs are prone to fatigue failure within their touchdown zone (TDZ). This failure mode needs to be evaluated rigorously in riser IM processes because fatigue is an ongoing degradation mechanism threatening the structural integrity of risers throughout their service life. However, accurately evaluating the probability of fatigue failure for riser systems within a useful time frame is challenging due to the need to run a large number of nonlinear, dynamic numerical time domain simulations.
Applying the Bayesian framework for machine learning, through the use of Gaussian Processes (GP) for regression, offers an attractive solution to overcome the burden of prohibitive simulation run times. GPs are stochastic, data-driven predictive models which incorporate the underlying physics of the problem in the learning process, and facilitate rapid probabilistic assessments with limited loss in accuracy.
This paper proposes an efficient framework for practical implementation of a GP to create predictive models for the estimation of fatigue responses at SLWR hotspots. Such models are able to perform stochastic response prediction within a few milliseconds, thus enabling rapid prediction of the probability of SLWR fatigue failure.
A realistic North West Shelf (NWS) case study is used to demonstrate the framework, comprising a 20” SLWR connected to a representative floating facility located in 950 m water depth. A full hindcast metocean dataset with associated statistical distributions are used for the riser long-term fatigue loading conditions. Numerical simulation and sampling techniques are adopted to generate a simulation-based dataset for training the data-driven model. In addition, a recently developed dimensionality reduction technique is employed to improve efficiency and reduce complexity of the learning process.
The results show that the stochastic predictive models developed by the suggested framework can predict the long-term TDZ fatigue damage of SLWRs due to vessel motions with an acceptable level of accuracy for practical purposes.
Numerical Study on Torsional Behavior of Carbon Steel-Concrete-Stainless Steel Double-Skin Tube (DST)
Authors: Wang Fa-Cheng , Xie Wen-Qi , Han Lin-Hai 
Published: December 2020

Abstract
One type of submarine composite pipeline structure, with carbon steel-concrete-stainless steel (CCS) double-skin tube (DST), was introduced in this paper. This composite pipeline was expected to make optimal use of the three types of the materials, and provide significant structural and internal corrosion resistance. During installation and service stage, submarine pipelines may experience significant torsion effects. Global response of the system depends on both the behavior of each constituent part and interactions between them. In this paper, an interaction model considering the friction and the cohesive force between the steel tube and the concrete is introduced, and a finite element model of the submarine pipeline under torsion is established by using this interaction model. The developed finite element model was verified through the comparisons between the numerical and experimental determined results, in terms of torque rotation angle histories, stiffness and ultimate torque. The results show that the ultimate strength and stiffness of the model considering cohesive force are increased by 4.6% and 11.9% respectively compared with the model only considering friction force.
Finite Element Analysis of Trawl Pull-Over Behaviour of Pipe-in-Pipe With Residual Curvatures
Authors: Yu Yi , Norland Kristian 
Published: December 2020

Abstract
Subsea 7 is currently planning for the installation of PiP flowlines in the Norwegian Sea. A case study has been performed for a 8 × 12in PiP to be installed in a water depth between 320 m to 420 m. Fishing activities are frequent in this area. Therefore, the integrity of the pipeline in case of trawl pull-over must be checked. It is found that pipelines with residual curvatures could behave very differently from pipelines without residual curvatures when they are pulled over by trawl gear. However, the effect of residual curvature on pull-over resistance capacity of rigid pipelines has not been mentioned in DNVGL-RP-F111 [1]. Therefore, an optimised methodology involving FE analyses and Monte Carlo simulation has been used in this project to check the integrity of the pipe-in-pipe flowline for the trawl pull-over load case.
This paper focuses on the FE analyses of the pipe-in-pipe flowline pulled over by trawl gear. The related Monte Carlo simulation has been discussed elsewhere [2]. To understand in detail the behaviour of the pipeline with trawl pull-over loading, the pipeline was modelled using a combination of beam, shell and brick (solid) elements. The advantage of the model was demonstrated by comparing output from the model with corresponding output using beam elements. The effects of some result-sensitive parameters were studied, which include centralizer location, pressure, trawl contact area and wall thickness. Special attention was paid to these parameters because their effects are not able to be captured with the normal beam element. Finally, the impact of residual curvatures on the trawl pull-over behaviour was studied. It was found that the pipeline pull-over resistance capacity is sensitive to residual curvature direction and contact location, but not sensitive to RC spacing and RC shape. Based on the advantage of this analysis methodology, it is believed to be a good option for pipeline trawl pull-over analysis, especially with complex pipeline configuration.
Long-Term Analysis Applied to Mooring Systems Design
Authors: Seabra Pedro , Sagrilo Luis Volnei Sudati , Esperança Paulo 
Published: December 2020

Abstract
Nowadays, the most used methodology to predict line tensions is the short-term coupled analysis, where the mooring system responses are obtained by a time-domain analysis for only some specific design combinations of extreme environmental conditions. This mooring analysis demands certain considerations and it is not the best way to obtain the offshore structure responses. The advances in both quantity and quality of collected environmental data and the increase of the computers processing power has enabled to consider the approach of more accurate long-term methodologies for mooring systems design. This paper proposes a numerical/computational procedure to obtain the extreme loads (ULS) acting on offshore platforms’ mooring lines. The work is based on the methodology of long-term analysis, employing a 10-yr long short-term environmental dataset of 3-h sea-states, where each short-term environmental condition is composed of the simultaneously observed environmental parameters of wave (sea and swell), wind and current. The methodology is applied to the analysis of three different mooring systems: a) spread-moored FPSO, b) Semi-Submersible platform and c) turret-moored FPSO. The Bootstrap approach is employed in order to take into account the statistical uncertainty associated to the estimated long-term most probable extreme response due to the limited number of short-term environmental conditions. The work was carried out using Dynasim software [1] to generate the time domain tension time series, which were later post-processed by using computational codes developed with Python software. Longer short-term numerical simulations lengths than the short-term period (3-h) have been investigated in order to understand the influence of this parameter on the final extreme long-term top tensions.
Effect of Hydrophobic Iron Oxide Nanoparticles on the Properties of Oil Based Drilling Fluid
Authors: Alvi Muhammad Awais Ashfaq , Belayneh Mesfin , Fjelde Kjell Kåre , Saasen Arild , Bandyopadhyay Sulalit 
Published: December 2020

Abstract
In recent years, nanoparticles (NPs) have shown the potential to improve the performance of oil well fluids significantly. Several studies have reported the ability of NPs to produce improved properties of both water and oil-based drilling fluids.
In this paper, hydrophobic iron oxide NPs were synthesized by thermal decomposition of iron pentacarbonyl in an inert atmosphere, and its performance was tested in the oil-based drilling fluid with 90/10 oil to water ratio (base fluid). Oil-based drilling fluids treated with nanofluids were formulated by adding 0.5 wt. % and 1.0 wt. % iron oxide NPs in hexane solution to the base drilling fluid.
The base fluid and the nanofluid treated drilling fluids were evaluated by characterizing their rheological properties at different temperatures, viscoelastic properties, lubricity, filtrate loss, static & dynamic settling, and separation properties.
Results showed that 0.5 wt. % iron oxide dispersed in hexane reduced the HPHT filtrate loss by 70%, filter cake thickness by 55%, and the coefficient of friction by 39%. Moreover, the nanofluid based drilling fluid reduced the free oil layer caused by syneresis during aging at high temperature by 16.3% compared to the base fluid.
This study has shown that hydrophobic iron oxide NPs have the potential to improve the properties of oil-based drilling fluid.