bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relating Stress-Overshoot Measurements of Drilling Fluids to Rheological Properties by Utilizing Inertia Calculations, Oscillatory Tests and Modelling
Authors: Gjerstad Kristian 
Published: September 2023

Abstract
Stress-overshoot tests on drilling fluids are used to acquire information about the fluids during drilling operations in realtime. It is, however, not straightforward, for the thixotropic elasto-viscoplastic (TEVP) fluids used in many operations today, to determine exactly which properties of the mud the reported peak values reveal. In this paper we investigate this relationship by performing stress-overshoot tests on a scientific rheometer where the target rotational rate and the acceleration of the bob at start-up can be accurately controlled. This allow us to relate the responses to inertia forces. We also perform oscillatory tests and try to link results from frequency sweeps and amplitude sweeps to mud properties that can be used to describe the stress-overshoot responses. Based on this improved insight into the properties of the mud, we propose a new model that qualitatively matches the stress transients for different combinations of input parameters. The model parameters are representing physical quantities, and can therefore give useful insight into the mud properties. Such a model can also be used as a basis for predicting the behavior of the fluid in the well, for example the pressure surges at pump start-up.
On the Performance of a Data-Driven Backward Compatible Physics Informed Neural Network (BC-PINN) for Prediction of Flow Past a Cylinder
Authors: Malineni Vamsi Sai Krishna , Rajendran Suresh 
Published: September 2023

Abstract
This paper discusses a sparse data driven approach for training Physics Informed Neural Networks (PINNs) to solve the Navier-Stokes equation. A benchmark problem of 2D unsteady laminar flow past a cylinder is chosen for comparing the accuracy of existing PINN training approaches to the proposed methodology. The proposed training scheme is an improvement on the existing Backward Compatible PINN (BC-PINN) methodology. We have demonstrated that the performance of BC-PINN methodology in solving Navier Stokes equation is at a similar level to that of Standard PINN methodology using mini-batches. The proposed methodology resulted in a significant increase in accuracy in comparison with vanilla BC-PINN. Furthermore, transfer learning of parameters of a pre-trained model for different Reynolds numbers has resulted in a reduction of training time.
Numerical Investigation of Sloshing Inside a Column of the OC4 Floating Offshore Wind Turbine
Authors: Zhang Renjie , Liu Yuanchuan , Li Liang 
Published: September 2023

Abstract
Floating offshore wind turbines (FOWT) with multiple-column designs are usually ballasted with water in cylindrical columns for stability purposes. Excited by environmental loads from wind and waves, sloshing can occur inside the columns of an FOWT, which can induce significant sloshing loads and affect its dynamic responses. In the present work, sloshing in one of the three columns of the widely known OC4 DeepCwind semi-submersible FOWT is investigated numerically. A sinusoidal translational motion with a wide range of predefined excitation amplitudes and frequencies is imposed to the tank to simulate the surge response of the FOWT in waves. Effects of excitation parameters on the sloshing force and surface elevation of the tank are analyzed. The sloshing force amplitude increases linearly with the excitation amplitude but decreases as the excitation period increases. Close to the natural frequency of the sloshing tank, strongly nonlinear responses are observed in sloshing force and surface elevation. Compared to cases without the base column, the sloshing force and surface elevation are smaller when the base column is present, especially close to the natural frequency. This work will serve as a foundation for possible response control of FOWTs by taking advantage of ballast water flow.
Numerical Prediction of Dynamic Pressure Loads in a Dam Break Case With the Direct Surface Description Method
Authors: Roland Kjærgaard Qwist Jesper , Damgaard Christensen Erik 
Published: September 2023

Abstract
Accurate prediction of wave loads from extreme waves on individual beams in offshore jacket structures are important to ensure the structural integrity. As the load distribution along a beam is strongly tied to the wave kinematics it is crucial to have an accurate prediction of the surface elevation and the velocity field.
We have recently developed a new method called the Direct Surface Description (DSD) method in OpenFOAM (Qwist & Christensen, 2023)[1]. Here it was shown that the DSD method is superior compared to the existing official release OpenFOAM solver with respect to prediction of wave kinematics and surface elevation.
In this paper our recently developed Direct Surface Description (DSD) solution algorithm in OpenFOAM simulates a dam-break and its interactions with a solid wall.
This is a step towards improved predictions of the slamming forces when large waves impact offshore structures. In addition to the comparison of dynamics pressure loads, the paper aims to address several aspects of the DSD method including mass conservation, current handling of violent flows and effect of adaptive time stepping.
Scale Modelling, Prediction and Management Strategy in High-Temperature High Salinity Reservoir in Middle East
Authors: Wu Bohong , Wang Jingyao , Shi Shuzhe , Zhang Yanna , Nie Zhen , Li Yong 
Published: September 2023

Abstract
High salinity produced water leads to serious scaling deposition issues along the wellbore in N oilfield, Middle East. It’s important to model the scale deposition tendency, investigate the scale mechanism inside tubing strings, propose the technical proposals for scaling mitigation and treatment.
Scaling has been identified in more than 20 producers in the field. The scale mechanism was summarized and well-analyzed based on well conditions, production history, water chemistry, the composition of the reservoir fluid, and composition of scale sample, etc. A conceptual scale model was established to predict the scale tendency under different conditions. The scale composition is a mixture of organic and inorganic (mainly iron compounds and CaCO3). The iron compounds are the byproducts of the tubing string corrosion. The high content of CO2/H2S and the high salinity formation water led to the corrosion of the tubing. This is also proved by the corrosion rate prediction results. With temperature and pressure changes in the production process, CaCO3 is gradually formed and deposited on the tubing wall.
Comprehensive scale mitigation and prevention proposals are proposed based on water chemistry, scale mechanism, scale severity, well structure and well condition in the field. Two field case studies are conducted and focused on fit-for-purpose scale removal and prevention proposals. In the first case study, we proposed to utilize organic retarded acid with strong permeability, high efficiency, and low corrosive from the tubing to soak and dissolve the scale to maximize scale removal results with marginal cost and low HSE risk. In the second case study, we proposed an advanced high-temperature scale inhibitor into the well bottom through a special-designed capillary chemical injection system for scale deposition prevention in the field.
This paper elaborated proposed integrated scale management strategy and approach which can be adopted to effectively remove tubing scale deposition and prevent downhole and surface scale deposition issues with marginal cost in high salinity high-temperature carbonate reservoirs.
Aerodynamic Shape Optimization of Offshore Wind Turbine Blades
Authors: Li Jichao , Le Quang Tuyen , Dao My Ha 
Published: September 2023

Abstract
Aerodynamic shape optimization of wind turbine blades is a promising way to improve wind energy collection efficiency. As aerodynamic analyses using high-fidelity CFD is computationally expensive, it is difficult to optimize the complicated three-dimensional blade shape in various wind conditions efficiently and robustly. To solve the issue, we present an efficient wind turbine blade shape optimization method using deep learning. The optimization framework involves the feasible-domain-reformulation based modal parameterization method to reduce the number of geometric design variables for wind turbine blade optimization (from hundreds to tens), a data-driven blade element momentum solver—data-driven CCBlade to reduce the computational cost of aerodynamic analyses. The framework is demonstrated in single-point optimization of the NREL 5 MW wind turbine blade to improve its power coefficient at the rated wind and rotation speed. The optimization result is further validated by high-fidelity CFD, showing the effectiveness of the presented optimization method.
Influence of Hydrodynamic Damping Model on Floater and Mooring Responses of 10MW Class Floating Offshore Wind Turbine
Authors: Kim Eungsoo , Kim Dongeun , Poguluri Sunny Kumar , Bae Yoon Hyeok , Ha Yoon-Jin , Park Ji Yong , Kim Jeongbin 
Published: September 2023

Abstract
In this study, the influence of the hydrodynamic damping model of the semi-submersible type floating offshore wind turbine (FOWT) on the floater and mooring dynamics were verified numerically and experimentally. Most of the FOWT substructures currently being developed are semi-submersible type and consist of a combination of multiple pontoons and vertical columns. These structures submerged in the sea water undergo dynamic behavior in the fluid domain under the influence of waves and currents. The drag force due to the shape of the structure and the damping force due to the viscosity of the fluid act in a complex way to affect the dynamic motion of the floater. In the initial stage of design, an integrated load analysis is performed to estimate the response characteristics of the structure. At this time, if an appropriate level of drag coefficient or damping coefficient is not applied to the floating structure, the motion of the floating body may be underestimated or overestimated. Since this affects the reliability of the entire structure, it is very important to select an appropriate damping model that can simulate the damping characteristics of the actual structure as closely as possible. The floating substructure used in this study is a semi-submersible type composed of three outer columns and one center column, and a DTU 10MW turbine is mounted at the center column. To design the optimal damping model for the 1/36 scale model, a combination of experiments and Computational Fluid Dynamics (CFD) was used. The linear and quadratic damping coefficients were determined by analyzing the results of free decay experiments conducted in calm water. These coefficients were applicable to the time-domain solution. The nonlinear Morison drag coefficient was obtained through a uniform flow field test using CFD. The characteristics of the obtained damping models were compared, and an appropriate combination method was proposed. Its validity was confirmed by applying it to the floating substructure.
A Preliminary Study on Design Optimisation of Submerged Floating Tunnels
Authors: Lin Wei , Tian Yinghui , Cassidy Mark J. 
Published: September 2023

Abstract
This paper systematically studies the submerged floating tunnel, a concept initially proposed in the 19th century, only sporadically built, but possibly more viable potential in the future. The first part of this paper presents a literature review on submerged floating tunnel concepts with different design variables, where various type, plane alignment, cross-sections, tethers, and anchoring systems are discussed. Critical parameters for potential design are discussed, including submergence depth, Buoyancy-Weight-Ratio, and cross-section dimensions. The second part introduces an optimisation model of the complex engineering system of submerged floating tunnel, with a balanced approach to address appropriate type selection, weight balance consideration, structural deflection, tether capacity and slack prevention, and uplift/sliding stability of gravity type foundation taken. With given environmental parameters of water depth, crossing length, and wave/current characteristics, the optimal solution with minimum cost is obtained, with design variables including the tunnel’s outer and inner diameters, tether’s diameter and layout, and anchor mass optimised.
Investigation of Container Ship Structural Dynamic Ultimate Strength Under Combined Bending, Torsion and Lateral Pressure
Authors: Zhang Weilong , Cui Jinju , Wang Deyu 
Published: September 2023

Abstract
The dynamic ultimate strength of ship structure has been paid more and more attention by researchers as an important parameter to evaluate ship maximum capacity. Due to the influence of inertia effect and stress wave effect and so on, the dynamic ultimate strength is more complicated than the static ultimate strength, whose determination needs to consider all aspects to get more accurate results. Therefore, this research takes the hull girder model of container ship as the research object, and mainly studies the dynamic ultimate strength of the hull girder based on the nonlinear finite element method. Firstly, the dynamic ultimate strength of the hull girder under the slamming moment load is studied, and it is found that the dynamic ultimate strength of the hull girder decreases with the increase of the slamming duration. Considering the load of the ship within actual sea states, the dynamic strength of the hull girder under the combined influence of lateral pressure on the bottom of the ship, the torsion of the hull girder and the slamming load are explored. Finally, it is found that the lateral pressure and the torsion of the hull girder are two unfavorable factors, which will reduce the dynamic ultimate strength of the hull girder to a certain extent.
A Combined Maneuvering and Seakeeping Model for the ONR Tumblehome
Authors: Oladele Omotayo , Lambert William , Brizzolara Stefano 
Published: September 2023

Abstract
The paper presents a series of simulation results obtained with an integrated time-domain seakeeping and maneuvering dynamic model for the self-propelled ONR Thumblehome vessel in waves. A four degrees of freedom (surge/sway/yaw/roll) lumped-parameter model for maneuvering in calm water is first developed and verified against results obtained from another system based model. Memory effects due to radiated waves and incident wave induced forces are then incorporated into the maneuvering model to be able to simulate the maneuvers of the same ship in waves. The proposed combined maneuvering/seakeeping model is validated against available experimental results on the self-propelled ONR-T model using zigzag tests in head and following waves. Special attention is given to the analysis of the transient loading of the propellers when the ship executes a 20/20 zig-zag maneuvers in calm water and in waves.
Riemann-Hilbert Formulation and Solution of Nonlinear Shallow-Water Wave Equations: Nonlocal Dbar Problem as a Unified Approach to Computing Exact Solutions in the Time Domain
Authors: Nabelek Patrik , Yim Solomon C. 
Published: September 2023

Abstract
Linear wave theories and stochastic linear wave spectra are foundational to ocean and coastal engineering. However, there are some important limitations with linear wave theories, and some of which were originally observed experimentally more than a century ago by John Scott Russell. Nonlinearities will cause the linear wave spectra to evolve in time and space as waves move across a basin, or as waves evolve in the ocean and coastal waters, and in coastal channels. Using a nonlinear wave theory can therefore allow researchers and engineers to better capture the dynamic nature of the ocean waves. Common classical nonlinear wave theories include the (2+1)D KP equation and the (1+1)D Korteweg-de Fries (KdV) equation. As described by Osborne [2010], the invariance nature of these nonlinear wave equations can be characterized in an exact manner by their corresponding nonlinear frequency or wave-number spectrum parallel to the linear case. A nonlocal dbar model was used by Ablowitz, Bar-Yaacov and Fokas [1983], and Zakharov and Manakov [1984] to solve the KP equation by the inverse scattering transform (IST). In this study we discuss the use of the nonlocal dbar problem (NDP) to compute the soliton solutions by the inverse scattering transform, and finite-genus solutions to the KdV equation, and undular bores (dispersive shockwaves). We also discuss the use of NDP to produce soliton solutions and the calculation of periodic finite-genus solutions to the KP equation using Riemann theta functions and complex algebraic geometry.
Classification of Sensor Measurements From Non-Newtonian Fluids Using Batch and Online Analysis of Data
Authors: Sheriff M. Ziyan , Nounou Mohamed N. , Rahman Mohammad A. , Hassan Ibrahim , Nounou Hazem N. 
Published: September 2023

Abstract
With recent technological advancements most industrial processes collect an abundance of process data from sensors. Sensible utilization and interpretation of collected data is increasingly important. A primary objective of this work is to evaluate the potential of using only differential pressure measurements to classify operating flow rates of non-Newtonian fluids for single phase and multiphase flow conditions using both batch and online methods of data analysis. This was accomplished by using statistical tests and charts to monitor changes in the process mean and variance. For batch analysis, the two-sample t-test and the F-test for equality of variance provided classification accuracies of 100%, despite the presence of measurement noise, while advanced statistical hypothesis testing techniques, namely the generalized and exponential likelihood ratio charts, performed well for online analysis.
Efficiency Evaluation of Resources Allocation in Port Cluster in the Yangtze River Delta Area Based on DEA-BCC Model
Authors: Zhou Yong , Lian Wenkang 
Published: September 2023

Abstract
Evaluation of port efficiency is the basic work of optimizing port resource allocation. In order to accurately and effectively evaluate the efficiency of the Yangtze River Delta (YRD) port cluster, a three-stage DEA model is used to empirically analyze the efficiency of 31 ports in the YRD port cluster from 2016 to 2020 on the basis of dividing the ports at different hierarchies. The following results can be obtained: first, from an overall perspective, the ports in the YRD have not reached the efficiency frontier, and the efficiency of ports at different hierarchies varies significantly; second, the pure technical efficiency of the port cluster is gradually improving; third, after excluding the influence of environmental and stochastic factors, the comprehensive efficiency of shipping center, main hub and major ports has improved, but the comprehensive efficiency of general ports has decreased. Finally, suggestions for improvement are proposed based on the existing efficiency of the YRD port cluster.
2d Wave Spectra Forecast Correction Applying Machine Learning
Authors: Primo Bruno V. , Achete Fernanda M. , Kaji Aline , Barbosa Nicholas , Ramiro André , Salvio Filipe 
Published: September 2023

Abstract
This paper describes the Wave Spectra Correction (WASCO). The WASCO methodology is based on the combination of Principal Component Analysis (PCA) and multiple linear regression between in situ data (PNBOIA) and numerical model results from hindcast (ERA5) and forecast.
Analysis of the WASCO show poor performance for low spectra energy, but consistent improvement for high energy spectra. An important benefit of WASCO product is the applicability to other regions worldwide, since it is not dependent on local parameters.
The corrected reanalysis and forecast show a consistent error reduction when comparing with the non corrected pairs. For the forecast, MAE is reduced by 49.4%; the total RMSE and the frequency and direction integrated RMSE are reduced by 55%, 48.6% and 22%, respectively.
A New Method for Valuing Nontraditional Stakeholder Parameters in Novel Power Systems Analysis
Authors: Nagy D. A. , Shadle Lawrence J. , Hovsapian Rob , Mohanpurkar Manish , Tucker D. 
Published: September 2023

Abstract
Unregulated electricity markets have shifted to a five minute time period. Generation asset (GA) valuation calculations do not take these changes and several emerging factors into account when valuing electricity GAs. A dynamic Levelized Cost of Electricity (d-LCOE) was developed to accommodate the dynamics of the electrical power markets. In addition, traditional multi-objective optimization methods have been modified to include nontraditional stakeholder parameters in valuing a project, both from a parametric sensitivity and constraint point of view. Factors are integrated into a traditional LCOE to include inputs from stakeholders such that the application of the model can be geographically accommodated and technology agnostic [12]. By aggregating factors into costs and revenues, a generic valuation framework is posed to compare different technologies in situations where nontraditional inputs can be considered by decisionmakers for financing novel power generation.
Research Ready: a student-initiated workshop model for developing foundational research skills
Authors: Sivarajah Nivetha , Irranious Jenevan A. , Krishnamoorthy Sivagini , Kalaineethan Thayaparan , Kugathasan Deluxeani , Sivanantham Uventhikka , McMillan Mary E. , Ketheesan Natkunam 
Published: September 2023

ABSTRACT
Travel restrictions, pandemics, economic downturn, and increasing costs in organizing workshops all impact on face-to-face training of undergraduates planning to undertake research. The inability to obtain basic, first-hand information regarding research in practice causes undue stress for students and leads to unrealistic expectations regarding research projects. Here, we describe how a student initiated online workshop, co-designed by a group of undergraduate leaders in conjunction with a panel of international academic researchers, and enabled the delivery of an introductory workshop on research training to meet student needs. Post-workshop, over 80%–95% of the participants rated their understanding of different aspects of research in practice as either being good or excellent. The design of this workshop provides an innovative template, in particular for resource-restricted countries, on how student-initiated workshops with multi-institutional academic collaboration could enhance training in research practice.
Nearly complete genome sequence of a
Perhabdovirus
isolated on European perch (
Perca fluviatili
s)
Authors: Pallandre Laurane , Flores Doriana , Pozet Françoise , Bigarré Laurent 
Published: September 2023

ABSTRACT

We report a nearly full-length genome of a
Perhabdovirus
isolated in 2022 on perch on a French farm. This virus is genetically related to virus 20/43, which was associated with an outbreak of perch on a farm in France in 2019. Both viruses represent a specific lineage of perch rhabdovirus.