Article
Engineering, Marine
Shengshi Cao, Pingyi Fan, Tao Yan, Cheng Xie, Jian Deng, Feng Xu, Yaqing Shu
Summary: An improved RRT algorithm for ship path planning in complex inland waterways is proposed in this paper, and it has been tested in practical scenarios to confirm its feasibility and reliability.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Marine
De-Chang Li, Hua-Long Yang
Summary: This paper focuses on the container ship routing problem in inland waterway liner transportation. The objective is to design the container ship route and determine the amount of foldable and standard empty containers to be shipped between each port pair to maximize profit. Two mixed integer programming models are established to optimize ship route and shipping strategies, and the models are further improved for higher computational efficiency. Numerical experiments on the Yangtze River are conducted to test the methods, and reference recommendations are provided.
Article
Engineering, Marine
Jianxi Yao, Zuyuan Liu, Xuemin Song, Yan Su
Summary: With the increasing successful applications of RANS tool in ship manoeuvring prediction, researchers are exploring appropriate strategies to balance prediction accuracy and time cost. In this study, an expanded RANS solver is used to simulate captive model tests for the oil tanker KVLCC2, determining hydrodynamic derivatives through regression analysis and conducting free-running turning test and zig-zag test using these derivatives.
Article
Engineering, Ocean
Changyuan Chen, Jeroen Verwilligen, Marc Mansuy, Katrien Eloot, Evert Lataire, Guillaume Delefortrie
Summary: This study introduces a new tracking controller for fast-time simulation in shallow or confined water, and evaluates its performance through simulation studies. The designed controller shows advantages such as better speed control and reduction of computational cost compared to the traditional prescience model based tracking controller.
APPLIED OCEAN RESEARCH
(2021)
Article
Engineering, Marine
Fumin Wu, Qianqian Chen, Yuanqiao Wen, Changshi Xiao, Feier Zeng
Summary: A deep learning-based multi-sensor hierarchical detection method is proposed in this paper for tracking ship exhaust behavior. The method can accurately and quickly locate the detection area of ship exhaust behavior and achieve real-time detection and tracking.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Economics
Yao Deng, Dian Sheng, Baoli Liu
Summary: This paper introduces a bottleneck model to manage ship lock congestion, explores different congestion tolling and administrative schemes, and finds that MST can effectively substitute tolling schemes in most cases, even outperforming them under certain conditions. Combining MST with tolling schemes can increase efficiency, but caution should be taken when the benefits of MST are marginal or zero in certain cases.
Article
Engineering, Marine
Meng Zhang, Qianyang Sun, Karl Garme, Magnus Burman, Li Zhou
Summary: Inland waterway shipping is a sustainable solution to reduce traffic congestion in cities. This study proposes a model based on artificial neural networks and statistical analysis to evaluate the operational possibilities of ice-going ships. The results can be used to assess ship operations in icy conditions.
Article
Engineering, Marine
P. Pires da Silva, Serge Sutulo, C. Guedes Soares
Summary: Sensitivity analysis is applied to ship manoeuvring mathematical models to deal with uncertainties and simplify the models. The study conducted perturbed simulations of various manoeuvres and found that the model was most sensitive to linear and some nonlinear multivariable parameters. The use of Euclidean metric allowed for a more detailed analysis.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Marine
Haitong Xu, C. Guedes Soares
Summary: This study proposes a data-driven truncated LS-SVM method for estimating the hydrodynamic coefficients of a nonlinear manoeuvring model. The method is validated using experimental data and yields convincing results with reduced parameter uncertainty when using a large training set.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Marine
Fabian Hart, Ostap Okhrin, Martin Treiber
Summary: With the growth of traffic on inland waterways, autonomous driving technologies for vessels are becoming increasingly important. Inspired by car-following models for road traffic, we propose a vessel-following model for inland waterways based on deep reinforcement learning (RL). Our model is trained considering realistic vessel dynamics and environmental influences and demonstrates safe and comfortable driving in different scenarios, including realistic vessel-following on the Middle Rhine. Compared to existing models, our model anticipates safety-critical situations early, resulting in higher safety while maintaining comparable efficiency and comfort. The proposed approach also shows potential to reduce traffic oscillations and congestion by using a sequence of followers.
Article
Engineering, Ocean
Youjun Yang, Guillermo Chillcce, Ould El Moctar
Summary: An Abkowitz-type model was extended to improve the prediction of maneuvering dynamics of inland ships in deep and shallow waters. Additional hydrodynamic derivatives and higher order drift derivatives were added to better capture the hydrodynamic forces and moments. Both steady and unsteady model tests were conducted to estimate speed-dependent and acceleration-dependent hydrodynamic derivatives.
APPLIED OCEAN RESEARCH
(2023)
Article
Engineering, Marine
Peng Du, Abdellatif Ouahsine, Philippe Sergent, Yannick Hoarau, Haibao Hu
Summary: The study found that bridge piers only affect the transient hydrodynamics of the convoy, not the averaged properties, and the ship-generated waves have characteristic wave crests at specific positions. Due to additional reflections, two wave crests exist at the pier position, creating a complex wave pattern in the confined waterway.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Engineering, Marine
Zhaoyuan Huang, Abdellatif Ouahsine, Peng Du, Dong Ding
Summary: A three-dimensional numerical simulation method based on the resolution of Navier-Stokes equations is used to determine the causal relationship between ship-induced waves and erosion of inland waterway banks, and provide critical conditions for bank protection. The study shows that normal impact force and tangential shear stress caused by ship-induced waves are the main factors contributing to bank erodibility.
Article
Environmental Sciences
Pinfeng Jiang, Sichen Tong, Yiting Wang, Guangxiang Xu
Summary: A study was conducted using a flume experiment to establish an oil spill model for inland waterways, showing that the drift distance of the oil slick is primarily controlled by flow velocity and advection transport effects; when flow velocity is relatively small, the oil spill trajectory spreads towards the wind direction.
ENVIRONMENTAL POLLUTION
(2021)
Article
Computer Science, Artificial Intelligence
Shengyan Zhu, Jiajing Gao, Xueting He, Shuanglu Zhang, Ying Jin, Zheyi Tan
Summary: Shipping companies are taking on the social responsibility of reducing greenhouse gas emissions under the global consensus, and a Mixed Integer Programming model is proposed to optimize transport routes for carbon emission reduction. Considering barge transshipment in the model leads to additional carbon emission reductions, and the VNS algorithm can provide solutions with optimality gaps in a short time.
ADVANCED ENGINEERING INFORMATICS
(2021)
Article
Mechanics
Ebrahim Kadivar, Ould el Moctar, Khodayar Javadi
INTERNATIONAL JOURNAL OF MULTIPHASE FLOW
(2019)
Article
Engineering, Marine
Wei Zhang, Ould el Moctar
Article
Engineering, Marine
Wenjing Lyu, Malte Riesner, Andreas Peters, Ould el Moctar
Article
Engineering, Marine
Jens Ley, Ould el Moctar
Summary: The study compared results obtained with different computational methods for wave-induced loads and motions of different ship types in regular and random irregular long-crested waves. While numerical methods based on potential theory agreed favorably with experiments in small to moderate waves, URANS-based predictions showed fairly good accuracy but with significantly higher computation times.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Engineering, Marine
Changqing Jiang, Ould El Moctar, Thomas E. Schellin
Summary: This study investigates the hydrodynamic sensitivity of multi-body structures in a modular floating concept to the number of modules, arrangement of modules, and incident wave angle. Results show that, for most wave frequencies, the hydrodynamic characteristics of floating platforms with different numbers of modules are similar, with the most critical phenomenon occurring at head seas where hinge forces are largest.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Engineering, Marine
Michael Thome, Ould el Moctar, Thomas E. Schellin
Summary: This paper predicts the hydrodynamic loads on slender vertical cylinders caused by a focused wave and analyzes the influence of wake effects on wave-induced loads using an URANS solver and the Morison equation.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Marine
Michael Thome, Ould El Moctar, Thomas E. Schellin
Summary: Regular and irregular waves were used to investigate hydrodynamic loads on a wind turbine monopile and predict its structural response. Fluid-structure interaction simulations were performed by coupling a finite element method-based structure solver with an unsteady Reynolds-averaged Navier-Stokes equations solver. The results showed the favorable use of FSI simulations to predict hydroelasticity effects on a monopile.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Physics, Fluids & Plasmas
Fabian Pioch, Jan Hauke Harmening, Andreas Maximilian Mueller, Franz-Josef Peitzmann, Dieter Schramm, Ould el Moctar
Summary: Physics-informed neural networks (PINN) can predict flow fields with minimal training data using Reynolds-averaged Navier-Stokes (RANS) equations and various turbulence models. This study applied a RANS-based PINN approach to a backward-facing step flow at a Reynolds number of 5100 and compared the results to DNS data. With more labeled training data, all models accurately predicted the separated shear layer and associated vortex.
Article
Engineering, Marine
Peng Xu, Shanshan Jia, Dongao Li, Ould el Moctar, Changqing Jiang
Summary: This study aims to maximize the energy capture efficiency using VIV through a parameter optimization approach. The Box-Behnken design response-surface method (RSM-BBD) is used to efficiently explore the parameters and determine the optimal operating conditions. The predicted results were validated and the operating conditions for the highest efficiency of energy harvesting using VIV were determined.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Marine
Alessandro La Ferlita, Yan Qi, Emanuel Di Nardo, Ould el Moctar, Thomas E. Schellin, Angelo Ciaramella
Summary: This study compared two methods, the simplified naval architecture method (SNAM) and the deep neural network (DNN) method, for predicting a ship's fuel consumption. The SNAM used limited operational data and a simplified technique to estimate the ship's required power by determining its resistance in calm water. The DNN method, trained on over 12,000 sample voyages, involved multiple fully connected layers and the ReLU activation function to predict fuel consumption based on realistic operational data.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Physics, Fluids & Plasmas
Ebrahim Kadivar, Ali Rajabpour, Ould El Moctar
Summary: In this study, molecular dynamics simulations were used to investigate the behavior of a single nanobubble collapsing near flexible and rigid boundaries under a shock wave. The results showed that the relative wall distance had an impact on the collapse dynamics of the nanobubble near the boundaries, and a nanojet was generated during the collapse process. From a damage perspective, the depth damage of the polyethylene, iron, and aluminum boundaries for a relative wall distance of 1.3 were 6.0, 0.47, and 0.63 nm, respectively, with extensive damage only occurring on the polyethylene boundary.
Article
Physics, Fluids & Plasmas
Yuxing Lin, Ebrahim Kadivar, Ould el Moctar
Summary: In this study, we investigated the influence of different cavitating flows on the hydrodynamic behavior of a circular cylinder through experimental methods. The cavitation dynamics behind the cylinder were analyzed using a high-speed camera, and the associated hydrodynamic forces were measured using a load cell. We studied the cavitation dynamics at various types of cavitating regimes and analyzed the effects of Reynolds number and cavitation number on the cavitation dynamics and shedding frequency.
Article
Engineering, Marine
Alessandro La Ferlita, Yan Qi, Emanuel Di Nardo, Karoline Moenster, Thomas E. Schellin, Ould EL Moctar, Christoph Rasewsky, Angelo Ciaramella
Summary: The authors proposed a direct comparison between white- and black-box models to predict engine brake power of a containership. The white-box model was enhanced by including specific operational parameters, while the black-box method relied on a deep neural network. Both models were validated using test data obtained during specific operational windows.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Marine
Yanxin Feng, Ould el Moctar, Thomas E. Schellin
SHIP TECHNOLOGY RESEARCH
(2020)
Article
Engineering, Ocean
Canjun Yang, Dingze Wu, Puzhe Zhou, Shuyang Ma, Rui Zhou, Xin Zhang, Yang Zhang, Qingchao Xia, Zeliang Wu
Summary: The Argo Global Ocean Observing Network is the preeminent ocean observation network worldwide, but its buoys fail to complete long-term observations in designated sea areas due to their lack of lateral movement. To solve this problem, a portable underwater profiler (PUP) that combines buoy and underwater glider functionalities was developed. The PUP is lightweight, allows for rapid deployment, and enables continuous observation.
APPLIED OCEAN RESEARCH
(2024)
Article
Engineering, Ocean
Knut Andreas Kvale, Bernt Leira, Ole Oiseth
Summary: As future floating bridges become longer, the chance of encountering significant inhomogeneous wave conditions increases. This paper presents an approach to model these conditions using generalized harmonic decomposition and applies it to a conceptual floating bridge model in Norway. The paper focuses on frequency-domain simulation and highlights the importance of considering the coherency in swell sea conditions.
APPLIED OCEAN RESEARCH
(2024)
