Article
Engineering, Marine
Qiumeng Yuan, Shengzheng Wang, Jiansen Zhao, Tsung-Hsuan Hsieh, Zhen Sun, Bin Liu
Summary: This paper presents an uncertainty-informed multi-objective voyage optimization approach that explores and models the uncertainty of weather forecast, and proposes a novel optimization model and risk penalty function. The method is proven to be superior and effective through evaluation and comparison with conventional state-of-the-art optimization methods.
Article
Computer Science, Interdisciplinary Applications
Gwang-Hyeok Choi, Wonhee Lee, Tae-wan Kim
Summary: This research proposes an integrated algorithm for voyage optimization that combines quadtree graph generation, visibility graph simplification, Dijkstra's algorithm, and a 3D dynamic programming (3DDP) method. The approach effectively stores and processes complex terrain information, enables the determination of a minimum distance initial reference route, and creates a 2D navigational graph for efficient route optimization.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2023)
Article
Engineering, Marine
James Mason, Alice Larkin, Simon Bullock, Nico van der Kolk, John F. Broderick
Summary: Combining voyage optimisation with wind propulsion can significantly reduce carbon emissions in the global shipping sector. Voyage optimisation amplifies carbon savings to over 30% on ideal routes, and reducing shipping speeds further increases the savings. The combination of all technologies can reduce carbon emissions by up to 60%, demonstrating the potential of existing technologies in reducing shipping's carbon footprint.
Article
Energy & Fuels
Yijian Sang, Yu Ding, Jiarun Xu, Congbiao Sui
Summary: In this study, an integrated simulation model of ship propulsion and maneuvering system is established and validated. A benchmark cargo ship and a selected coastal service are used for case study. The fuel consumption under different conditions is calculated and analyzed, and the most reasonable case of saving fuel consumption is provided. This study investigates the influence of multiple factors on ship fuel consumption and provides theoretical suggestions for reducing fuel consumption over ship voyages.
Article
Engineering, Ocean
Kai Wang, Hao Xu, Jiayuan Li, Lianzhong Huang, Ranqi Ma, Xiaoli Jiang, Yupeng Yuan, Ngome A. Mwero, Peiting Sun, Rudy R. Negenborn, Xinping Yan
Summary: The study analyzed the spatial and temporal distribution characteristics of ship energy consumption, established an energy consumption model, proposed a dynamic collaborative optimization algorithm, and effectively reduced energy consumption.
APPLIED OCEAN RESEARCH
(2021)
Article
Engineering, Marine
Ageliki Kytariolou, Nikos Themelis
Summary: A weather routing tool is presented to determine the optimal path for minimizing fuel consumption and ensuring safe passage based on forecasted weather data and safety considerations. Developed in MATLAB, the tool takes into account detailed ship characteristics and estimates ship's motions and fuel oil consumption. A genetic algorithm is used to find the optimal route by considering ship's heading or both heading and power settings as variables.
JOURNAL OF NAVIGATION
(2022)
Article
Engineering, Marine
Nikolaos Charalambopoulos, Elias Xidias, Andreas Nearchou
Summary: This paper introduces the probabilistic roadmap (PRM) concept in maritime transportation to solve the ship weather routing (SWR) problem. A modified PRM algorithm is presented to determine the optimal path in terms of fuel consumption and travel time considering the ship's navigation area and weather conditions. The efficiency of the developed algorithm is demonstrated through simulations in the Aegean archipelagos and the Mediterranean Sea.
Article
Engineering, Marine
Zhizheng Wu, Shengzheng Wang, Qiumeng Yuan, Naiyuan Lou, Siyuan Qiu, Li Bo, Xiuzhi Chen
Summary: This paper introduces a transformer-based time series model to recover spatio-temporal discrete weather forecast data and improve voyage optimization accuracy. A convolutional neural network is used to extract multi-dimensional spatial features, which are then input into a transformer attention mechanism to analyze the time characteristics of the weather data. The effectiveness and accuracy of the reconstructed weather forecast data were confirmed experimentally, and the proposed method demonstrated its usefulness in route design and optimization.
Article
Engineering, Marine
Wei Du, Yanjun Li, Guolei Zhang, Chunhui Wang, Baitong Zhu, Jipan Qiao
Summary: This paper proposes an improved three-dimensional dynamic programming algorithm for ship route optimization, which demonstrates high calculation accuracy and improves the economic benefits and reduces the arrival time of VLCC oil tankers under the objective functions of minimum FOC and ETA.
Article
Engineering, Marine
Wei Du, Yanjun Li, Guolei Zhang, Chunhui Wang, Baitong Zhu, Jipan Qiao
Summary: This paper improves the FOPSO algorithm by adaptively changing coefficients and achieves better performance in solving multi-dimensional nonlinear problems, particularly in ship weather routing optimization with constraints.
Article
Engineering, Marine
George Tzortzis, George Sakalis
Summary: This paper proposes a method for determining the optimal operational profile of a ship by adjusting its sailing speed, overcoming the challenge of decreasing accuracy in weather predictions by segmenting the total time horizon of the route into smaller time periods. The interdependency between individual sub-problems is established and examined through the definition of appropriate method parameters.
Article
Environmental Studies
Hongchu Yu, Zhixiang Fang, Xiuju Fu, Jingxian Liu, Jinhai Chen
Summary: Ship voyage optimization is critical for efficient shipping operations, requiring bridging the gaps between stakeholders' expectations and actual ship operations, thoroughly investigating factors affecting fuel consumption, and integrating various aspects such as cargo operations, emissions, and emission control regulations. The literature on ship voyage optimization is expanding with the development of green maritime transport, and this paper reviews the latest research on emission control-driven voyage optimization to identify current trends and future research directions.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Computer Science, Artificial Intelligence
Rafal Szlapczynski, Joanna Szlapczynska, Roberto Vettor
Summary: The paper introduces a new version of evolutionary multi-objective weather routing for ships, considering the uncertainties of weather forecasts. The method incorporates the authors' w-MOEA/D algorithm, which takes into account the Decision Maker's preferences using w-dominance relation. This enables the optimization process to focus on the part of the objective's space that is of interest to the Decision Maker, leading to faster convergence without sacrificing the quality of the final set. The method has been implemented as part of a client-server system architecture and verified through computer simulations and comparison with real GPS routes.
APPLIED SOFT COMPUTING
(2023)
Article
Engineering, Marine
Jose Enrique Gutierrez-Romero, Jeronimo Esteve-Perez
Summary: This study investigates the influence of added resistance on ship emissions and freight throughput, and proposes a methodology to assess this influence. The results show a significant difference in pollutant emission estimation when considering added resistance, and navigation under added resistance conditions may lead to freight loss.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Transportation Science & Technology
Mingyu Li, Chi Xie, Xinghua Li, Ampol Karoonsoontawong, Ying-En Ge
Summary: With the opening of the Northern Sea Route, commercial shipping developments have become a reality, and new liner services along this route have been proposed. However, uncertainties in weather and ocean conditions in this region may result in delays, leading to significant financial losses. These uncertainties inevitably affect cargo shippers' willingness to choose this route, despite its shorter shipping time compared to traditional Asia-Europe lines.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Engineering, Marine
Marco Altosole, Ugo Campora, Michele Laviola, Raphael Zaccone
SHIPS AND OFFSHORE STRUCTURES
(2019)
Article
Food Science & Technology
Karim Ennouri, Hajer Ben Hlima, Rayda Ben Ayed, Olfa Ben Braiek, Maura Mazzarello, Ennio Ottaviani, Lotfi Mallouli, Slim Smaoui
EUROPEAN FOOD RESEARCH AND TECHNOLOGY
(2019)
Article
Multidisciplinary Sciences
Enrico Barelli, Ennio Ottaviani, Pietro Auconi, Guido Caldarelli, Veronica Giuntini, James A. McNamara, Lorenzo Franchi
SCIENTIFIC REPORTS
(2019)
Article
Engineering, Marine
Raphael Zaccone, Michele Martelli
JOURNAL OF MARINE ENGINEERING AND TECHNOLOGY
(2020)
Article
Engineering, Marine
Marco Altosole, Ugo Campora, Silvia Donnarumma, Raphael Zaccone
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2019)
Article
Energy & Fuels
Marco Altosole, Giovanni Benvenuto, Raphael Zaccone, Ugo Campora
Article
Engineering, Marine
Simone Marini, Nikolla Gjeci, Shashank Govindaraj, Alexandru But, Benjamin Sportich, Ennio Ottaviani, Fausto Pedro Garcia Marquez, Pedro Jose Bernalte Sanchez, Jonas Pedersen, Casper Vetke Clausen, Fantina Madricardo, Fedeirca Foglini, Federico Bonofiglio, Laura Barbieri, Massimiliano Antonini, Yeidy Sorani Montenegro Camacho, Peter Weiss, Kathrin Nowak, Makthoum Peer, Thibaud Gobert, Alessio Turetta, Elias Chatzidouros, Dongik Lee, Dimitris Zarras, Theodore Steriotis, Georgia Charalambopoulou, Thanos Yamas, Mayorkinos Papaelias
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2020)
Article
Dentistry, Oral Surgery & Medicine
Pietro Auconi, Ennio Ottaviani, Enrico Barelli, Veronica Giuntini, James A. McNamara, Lorenzo Franchi
Summary: This investigation evaluates the use of case-based reasoning (CBR) in predicting future Class III craniofacial growth. Results show that by comparing untreated Class III subjects with a large data set of Class III cross-sectional subjects, CBR can provide additional information in predicting unfavorable skeletal progression.
ORTHODONTICS & CRANIOFACIAL RESEARCH
(2021)
Article
Engineering, Marine
Raphael Zaccone
Summary: This study focuses on autonomous vessels and real-time path planning, proposing an optimal path-planning algorithm based on RRT* and discussing collision avoidance, compliance with regulations, path feasibility, and optimality in detail.Tests on a high-fidelity simu
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Engineering, Marine
Raphael Zaccone, Ugo Campora, Michele Martelli
Summary: This paper presents an optimal design approach for diesel-electric propulsion systems, using a genetic algorithm to determine the best engine configuration and load sharing strategy. The method aims to minimize fuel consumption and meet power and speed requirements, showcasing the flexibility and efficiency of diesel-electric propulsion.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Environmental Sciences
Ennio Ottaviani, Marco Francescangeli, Nikolla Gjeci, Joaquin del Rio Fernandez, Jacopo Aguzzi, Simone Marini
Summary: The marine science community is focused on exploring and monitoring biodiversity dynamics, particularly in understanding ecosystem functioning and tracking human impacts. Innovative technological solutions are needed for accurate monitoring of marine ecosystems with remote and continuous data collection. Automated intelligent services are required to extract relevant biological information from visual data, but concept drift affects the performance of automated detection and classification.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Clinical Neurology
Silvia Ottaviani, Anna Arecco, Mara Boschetti, Ennio Ottaviani, Paolo Renzetti, Lucio Marinelli
Summary: This study is the first to evaluate the prevalence of diabetic striatopathy in Italy. The results suggest that high HbA1c values may play a role in predicting diabetic striatopathy.
NEUROLOGICAL SCIENCES
(2022)
Article
Environmental Sciences
Stefania Magri, Ennio Ottaviani, Enrico Prampolini, Giovanni Besio, Bruno Fabiano, Bianca Federici
Summary: Earth Observation (EO) from satellites provides rapid and inexpensive information about water bodies. The use of machine learning (ML) for water quality estimation has become popular due to advances in algorithm development and computing power. This study demonstrates the accuracy of ML models in estimating water turbidity from Sentinel-2 satellite data.
REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT
(2023)
Proceedings Paper
Green & Sustainable Science & Technology
M. Martelli, N. Faggioni, R. Zaccone
SUSTAINABLE DEVELOPMENT AND INNOVATIONS IN MARINE TECHNOLOGIES
(2020)
Proceedings Paper
Automation & Control Systems
Raphael Zaccone, Michele Martelli, Massimo Figari
2019 18TH EUROPEAN CONTROL CONFERENCE (ECC)
(2019)
Article
Engineering, Marine
Alba Ricondo, Laura Cagigal, Beatriz Perez-Diaz, Fernando J. Mendez
Summary: This research presents a site-specific metamodel based on the SWASH numerical model simulations, which can predict coastal hydrodynamic variables in a fast and efficient manner. The metamodel uses downscaled and dimensionality reduced synthetic database to accurately reproduce wave setup, wave heights associated with different frequency bands, and wave runup. This method has great potential in coastal risk assessments, early warning systems, and climate change projections.
Article
Engineering, Marine
Xiao Yu, Wangjun Ren, Bukui Zhou, Li Chen, Xiangyun Xu, Genmao Ren
Summary: This study investigated and compared the compression responses and energy absorption capacities of coral sand and silica sand at a strain rate of approximately 1000 s-1. The results showed that coral sand had significantly higher energy absorption capacity than silica sand due to its higher compressibility. The study findings suggest that using poorly graded coral sand can improve its energy absorption capacity.
Article
Engineering, Marine
Jingxi Zhang, Junmin Mou, Linying Chen, Pengfei Chen, Mengxia Li
Summary: This paper proposes a cooperative control scheme for ship formation tracking based on Model Predictive Control. A predictive observer is designed to estimate the current motion states of the leader ship using delayed motion information. Comparative simulations demonstrate the effectiveness and robustness of the proposed controller.
Article
Engineering, Marine
Yu Yao, Danni Zhong, Qijia Shi, Ji Wu, Jiangxia Li
Summary: This study proposes a 2DH numerical model based on Boussinesq equations to investigate the impact of dredging reef-flat sand on wave characteristics and wave-driven current. The model is verified through wave flume experiments and wave basin experiments, and the influences of incident wave conditions and pit morphological features on wave characteristics are examined.
Article
Engineering, Marine
Jayanta Shounda, Krishnendu Barman, Koustuv Debnath
Summary: This study investigates the double-average turbulence characteristics of combined wave-current flow over a rough bed with different spacing arrangements. The results show that a spacing ratio of p/r=4 offers the highest resistance to the flow, and the double-average Reynolds stress decreases throughout the flow depth. The advection of momentum-flux of normal stress shows an increase at the outer layer and a decrease near the bed region after wave imposition. Maximum turbulence kinetic energy production and diffusion occur at different layers. The turbulence structure is strongly anisotropic at the bottom region and near the outer layer, with a decrease in anisotropy observed with an increase in roughness spacing.
Article
Engineering, Marine
Meng Zhang, Lianghui Sun, Yaoguo Xie
Summary: The research proposes a method for online identification of wave bending and torsional moment in hull structures. For structures without large openings, the method optimizes sensor positions and establishes a mathematical model to improve accuracy. For structures with large openings, a joint dual-section monitoring method is proposed to simultaneously identify bending and torsional moments in multiple key cross sections.
Article
Engineering, Marine
Longming Chen, Shutao Li, Yeqing Chen, Dong Guo, Wanli Wei, Qiushi Yan
Summary: This study investigated the dynamic response characteristics and damage modes of pile wharves subjected to underwater explosions. The results showed that the main damaged components of the pile wharf were the piles, and inclined piles had a higher probability of moderate or more significant damage compared to vertical piles. The study also suggested that replacing inclined piles with alternative optimized structures benefits the blast resistance of pile wharves.
Article
Engineering, Marine
I. -C Kim, G. Ducrozet, V. Leroy, F. Bonnefoy, Y. Perignon, S. Bourguignon
Summary: Previous research focused on the accuracy and efficiency of short-term wave fields in specific prediction zones, while we developed algorithms for continuous wave prediction based on the practical prediction zone and discussed important time factors and strategies to reduce computational costs.
Article
Engineering, Marine
Hang Xie, Xianglin Dai, Fang Liu, Xinyu Liu
Summary: This study investigates the load characteristics of a three-dimensional stern model with pitch angle through a drop test, and reveals complex characteristics of pressure distribution near the stern shaft. The study also shows that the vibration characteristics of the load are influenced by the drop height and pitch angle, with the drop height having a greater effect on the high-frequency components.
Article
Engineering, Marine
Hangyuan Zhang, Wanli Yang, Dewen Liu, Xiaokun Geng, Wangyu Dai, Yuzhi Zhang
Summary: The deep-water bridge is more vulnerable to earthquake damage than the bridge standing in air. The larger blocking ratio has a significant impact on the added mass coefficient, which requires further comprehensive study. The generation mechanism of block effect is analyzed using numerical simulation software ANSYS Fluent. The results show that the recirculation zone with focus reduces the pressure on the back surface of the cylinder, resulting in the peak value of in-line force not occurring synchronously with the peak value of acceleration. The change in position and intensity of the recirculation zone with focus, as well as the change in water flow around the cylinder surface, are identified as the generation mechanism of the block effect, which has a 10% influence on the hydrodynamic force. The changing rule of the added mass coefficient with blocking ratio is discussed in detail, and a modification approach to the current added mass coefficient calculation method is suggested. Physical experiments are conducted to validate the modification approach, and the results show that it is accurate and can be used in further study and real practice.
Article
Engineering, Marine
Golnesa Karimi-Zindashti, Ozgur Kurc
Summary: This study examines the performance of an in-house code utilizing a deterministic vortex method on the rotation of circular and square cylinders. The results show that rotational motion reduces drag forces, suppresses fluctuating forces, and increases lift forces. The code accurately predicts vortex shedding suppression and identifies the emergence of near-field wakes in the flow over rotating square cylinders.
Article
Engineering, Marine
George Dafermos, George Zaraphonitis
Summary: The survivability of damaged ships is of great importance and the regulatory framework is constantly updated. The introduction of the probabilistic damage stability framework has rationalized the assessment procedure. Flooding simulation tools can be used to investigate the dynamic response of damaged ships.
Article
Engineering, Marine
Xuyue Chen, Xu Du, Chengkai Weng, Jin Yang, Deli Gao, Dongyu Su, Gan Wang
Summary: This paper proposes a real-time drilling parameters optimization method for offshore large-scale cluster extended reach drilling based on intelligent optimization algorithm and machine learning. By establishing a ROP model with long short-term memory neurons, and combining genetic algorithm, differential evolution algorithm, and particle swarm algorithm, the method achieves real-time optimization of drilling parameters and significantly improves the ROP.
Article
Engineering, Marine
Sung-Jae Kim, Chungkuk Jin, MooHyun Kim
Summary: This study investigates the dynamic behavior of a moored submerged floating tunnel (SFT) under tsunami-like waves through numerical simulations and sensitivity tests. The results show that design parameters significantly affect the dynamics of the SFT system and mooring tensions, with shorter-duration and higher-elevation tsunamis having a greater impact.
Article
Engineering, Marine
G. Clarindo, C. Guedes Soares
Summary: Environmental contours are constructed using the Inverse-First Order Reliability Method based on return periods. The paper proposes the use of the Burr distribution to model the marginal distribution of long-term significant wave heights. The newly implemented scheme results in different environmental contours compared to the reference approach.
