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Dynamic responses of a twin-DP-barge float-over installation system with flexible connections 带柔性连接的双DP驳船浮渡安装系统的动态响应
IF 13 1区 工程技术 Q1 ENGINEERING, MARINE Pub Date : 2025-06-01 DOI: 10.1016/j.joes.2024.05.002
Rongze Wang , Quan Shi , Xinliang Tian , Xiaoxian Guo , Xin Li , Jianmin Yang
The twin-barge float-over technique, incorporating a dynamic positioning (DP) system, has been increasingly utilized to enhance the installation capacity and efficiency of offshore platforms. But the DP system is not fully considered during the design stage at present. This study investigates the dynamic responses of a twin-barge float-over system integrating flexible connections and DP system. A numerical model is developed and combined with model-scale experiments to analyze the characteristics of the system. The findings reveal the significant influence of the DP system on the coupled system, leading to harsh oscillations in the roll and heave directions. To effectively address this oscillation, a method with eigenmodes analysis and filter adjusting is proposed. The robustness of this method is verified through sensitivity analysis, and further investigation is conducted to analyze the motion response characteristics of the coupled system under varying environmental conditions. The findings and the proposed method in this paper are also applicable to various multi-vessel cooperative transportation scenarios.
采用动态定位(DP)系统的双驳船浮式技术已越来越多地用于提高海上平台的安装能力和效率。但是目前在设计阶段对DP系统的考虑还不够充分。研究了柔性连接与DP系统相结合的双驳船浮船系统的动力响应。建立了数值模型,并结合模型尺度试验分析了系统的特性。研究结果表明,DP系统对耦合系统有显著影响,导致横摇和升沉方向的剧烈振荡。为了有效地解决这种振荡,提出了一种特征模态分析和滤波器调整的方法。通过灵敏度分析验证了该方法的鲁棒性,并进一步研究了耦合系统在不同环境条件下的运动响应特性。本文的研究结果和提出的方法也适用于各种多船协同运输场景。
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引用次数: 0
Evaluating hydrothermal degradation of GFRP composites under sustained loading using explainable machine learning 使用可解释的机器学习评估GFRP复合材料在持续载荷下的水热降解
IF 11.8 1区 工程技术 Q1 ENGINEERING, MARINE Pub Date : 2025-05-30 DOI: 10.1016/j.joes.2025.05.005
Mudassir Iqbal , Xiao-Ling Zhao , Hui Li , Daxu Zhang , Pei-Fu Zhang , Xuan Zhao , Congshui Yu
The understanding of GFRP composites under hydrothermal conditions and sustained loading offers valuable insights into their performance in challenging environments such as coastal areas, deep-sea structures, and environmentally friendly and long-lasting infrastructure solutions. This study examined the mechanical response of GFRP composites subjected to synergic sustained loading and hydrothermal degradation. A prediction application based on the XGBoost machine learning model was developed to estimate the residual mechanical response. The developed model was used to calculate the conversion factor accounting for moisture and temperature-based degradation in FRP composites. The SHAP analysis corroborated the experimental findings such that GFRP-based composites experience an initial rapid decline in mechanical properties when exposed to harsh environments, followed by a slower degradation rate over time. The pultruded vinyl ester-based GFRP composites depict less degradation than polyester-based composites and composites made via vacuum infusion. It was inferred that sustained loading below 30 % has no negative impact on the mechanical characteristics of hydrothermal-aged GFRP composites. The degradation became worse for the sustained loading beyond 30% of the ultimate strength of the GFRP composite. Comments are also made on the current recommendations in technical specifications by the European Committee for Standardization CEN/TS 19101 related to moisture and temperature conversion factors. The current work is limited to the mechanical investigation of GFRP composites subjected to hydrothermal degradation. It needs to be extended to other composites such as CFRP and BFRP.
了解GFRP复合材料在热液条件和持续载荷下的性能,可以为其在沿海地区、深海结构以及环保和持久的基础设施解决方案等具有挑战性的环境中的性能提供有价值的见解。本研究考察了GFRP复合材料在协同持续载荷和水热降解下的力学响应。开发了基于XGBoost机器学习模型的预测应用程序来估计残余力学响应。建立的模型用于计算玻璃钢复合材料的湿度和温度基降解的转换因子。SHAP分析证实了实验结果,即gfrp基复合材料在暴露于恶劣环境时,其机械性能最初会迅速下降,随后随着时间的推移,降解速度会减慢。拉伸乙烯基酯基GFRP复合材料比聚酯基复合材料和真空灌注复合材料具有更小的降解性。由此推断,30%以下的持续载荷对水热老化GFRP复合材料的力学特性没有负面影响。当持续载荷超过GFRP复合材料极限强度的30%时,降解恶化。还对欧洲标准化委员会CEN/TS 19101技术规范中有关湿度和温度转换因子的当前建议进行了评论。目前的工作仅限于水热降解下GFRP复合材料的力学研究。它需要扩展到其他复合材料,如CFRP和BFRP。
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引用次数: 0
Self-motion of an ellipsoid with controllable rotation in potential flow 势流中可控旋转椭球体的自运动
IF 11.8 1区 工程技术 Q1 ENGINEERING, MARINE Pub Date : 2025-05-23 DOI: 10.1016/j.joes.2025.05.003
Zeyu Zhang , Qi Su , Yarong Zhou , Ren Sun
The moving behaviors of a prolate spheroidal complex with the controllable rotation in an ideal fluid without vortex shedding are investigated to find out the self-propelled mechanism of a non-spherical swimmer via the self-controlled rotation coupled with shift of its internal mass. Based on the model, algebraic velocity vector equations for the complex are derived from the Kirchhoff equations. Several simple cases reveal that the single non-spherical body can push itself to move persistently forward to break the kinematic time-reversal symmetry through coupling the specially-appointed rotation with the corresponding cyclic shift of the internal mass, and some typical self-motion patterns such as trochoids in two dimensions and unidirectional spatial helical motions are identified. The study aims to provide a potential swimming manner of underwater vehicles.
研究了具有可控旋转的长形球体配合物在理想流体中无涡脱落的运动特性,探讨了非球形游泳体通过自我控制旋转和内部质量漂移实现游动的机理。在此基础上,由Kirchhoff方程导出了复体的速度矢量代数方程。几个简单的例子表明,单个非球面体可以通过耦合指定的旋转和相应的内部质量的周期位移来推动自身持续向前运动,从而打破运动学时间反转对称性,并确定了一些典型的自运动模式,如二维tro仿体和单向空间螺旋运动。本研究旨在为水下航行器提供一种潜在的游泳方式。
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引用次数: 0
A numerical model for the simulation of wave-induced erosion of floating icebergs: Implementation and validation against wave flume data 浮冰波浪侵蚀模拟的数值模型:对波浪水槽数据的实现和验证
IF 11.8 1区 工程技术 Q1 ENGINEERING, MARINE Pub Date : 2025-05-17 DOI: 10.1016/j.joes.2025.05.004
Behzad Forouzi Feshalami , Sveinung Løset , Raed Lubbad , Wenjun Lu , Henriette Skourup , Marat Kashafutdinov
An innovative approach is proposed in this paper to develop a three-dimensional numerical model to simulate the wave-induced erosion of a floating iceberg. The simulation domain is divided into three zones, i.e., inside the iceberg, outside the iceberg, and the interface between the two zones. While computational fluid dynamics is used to model heat conduction inside the iceberg, a hydrodynamic analysis based on linear wave theory and potential flow theory is performed to account for wave effects. The main objective of this paper is to implement the developed numerical model and validate it against experimental data obtained from a wave flume. Three case studies are designed to compare the results of numerical simulations against experimental data: Case #1: the melting rate and mass loss rate of a bottom-fixed ice cylinder is studied under wave erosion; Case #2: focusing on the hydrodynamic part: the response amplitude operator of a free-heaving ice cylinder is analyzed; and Case #3: coupling both the hydrodynamic and thermodynamic processes, the mass loss rate of a heaving ice cylinder is investigated in different wave periods. Results indicate that the model can predict melting rates in the first case study near the still water level where wave-induced erosion is the dominant mechanism. In addition, the outputs of numerical modeling in terms of the mass loss rate of a heaving ice cylinder closely follow those of experimental data, particularly around the critical wave period where the mass loss rate significantly increases due to dramatic ice cylinder heave motion (resonance).
本文提出了一种创新的方法来建立一个三维数值模型来模拟浮冰的波浪侵蚀。将模拟域划分为冰山内部、冰山外部以及冰山与冰山之间的界面三个区域。计算流体力学用于模拟冰山内部的热传导,而基于线性波动理论和势流理论的流体力学分析则用于解释波浪效应。本文的主要目的是实现所建立的数值模型,并与波浪水槽的实验数据进行验证。设计了三个实例,将数值模拟结果与实验数据进行比较:案例1:研究了波浪侵蚀作用下底部固定冰筒的融化速率和质量损失率;案例#2:以水动力部分为重点,分析了自由起伏冰筒的响应幅值算子;和案例#3:耦合流体动力和热力学过程,研究了不同波浪周期下升沉冰筒的质量损失率。结果表明,该模型可以预测静水位附近的融化速度,其中波浪侵蚀是主要机制。此外,数值模拟的振荡冰柱质量损失率与实验数据非常接近,特别是在振荡冰柱剧烈振荡(共振)导致质量损失率显著增加的临界波周期附近。
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引用次数: 0
Passive flow control technique for enhancing power efficiency of vertical-axis wind turbines: Leading-edge slot structure 提高垂直轴风力机功率效率的被动流控技术:前缘槽结构
IF 11.8 1区 工程技术 Q1 ENGINEERING, MARINE Pub Date : 2025-05-14 DOI: 10.1016/j.joes.2025.05.002
Rui Zhang , Lingyu Zhan , Limin Kuang , Redili Yushan , Yu Tu , Hongbo Zhu , Jie Su , Zhaolong Han , Dai Zhou
Vertical-axis wind turbines (VAWTs) are receiving growing interest in offshore wind energy exploitation. However, they often exhibit suboptimal energy conversion efficiency, particularly at low tip speed ratios (TSRs). One critical challenge is suppressing flow separation and dynamic stall on the blades. Passive flow control techniques have shown potential in improving blade aerodynamics, yet a simple and effective approach is still desired. This study proposes a novel leading-edge slot structure aimed at enhancing the power efficiency of VAWTs without additional energy input. The structure facilitates natural suction and blowing flows on the suction side of the blades. High-fidelity computational fluid dynamics simulations incorporating a transition shear stress transport model are employed to examine turbine aerodynamics. The power performance and aerodynamic loads of VAWTs with various slotted blade designs (different start locations, 0.02cxI ≤ 0.31c, and end locations, 0.1cxII ≤ 0.35c, where c denotes the blade chord length) are compared to identify the relatively optimal slot configuration. The analysis of blade boundary layer phenomena and flow state in the slot further elucidates the flow control mechanism. Results indicate that the leading-edge slot structure significantly enhances the power efficiency of the VAWT at low TSRs. The relatively optimal slot configuration (xI = 0.16c, xII = 0.2c) yields an average power increase of 38.33 % under studied operating conditions. Laminar separation bubble bursting is delayed or even eliminated for slotted blades at low and moderate TSRs. The leading-edge slot structure also delays trailing-edge separation, suppresses dynamic stall vortex formation, and reduces shedding vortex strength, thereby increasing the blade lift-to-drag ratio. This study would facilitate the blade design of VAWTs.
垂直轴风力涡轮机(VAWTs)在海上风能开发中受到越来越多的关注。然而,它们经常表现出次优的能量转换效率,特别是在低叶尖速比(tsr)下。一个关键的挑战是抑制流动分离和叶片的动态失速。被动流动控制技术在改善叶片空气动力学方面已经显示出潜力,但仍然需要一种简单有效的方法。本研究提出了一种新的前缘槽结构,旨在提高vawt的功率效率,而无需额外的能量输入。这种结构有利于叶片吸力侧的自然吸力和吹气流动。采用高保真计算流体动力学模拟,结合过渡剪应力输运模型对涡轮空气动力学进行了研究。对比不同开槽叶片设计(开始位置为0.02c≤xI≤0.31c,结束位置为0.1c≤xII≤0.35c,其中c为叶片弦长)的vawt的动力性能和气动载荷,确定相对最优的开槽构型。通过对叶片边界层现象和槽内流动状态的分析,进一步阐明了流动控制机理。结果表明,前缘槽结构显著提高了低tsr时VAWT的功率效率。在研究的工作条件下,相对最佳的槽位配置(xI = 0.16c, xII = 0.2c)的平均功率增加了38.33%。在中低tsr条件下,狭缝叶片可延迟甚至消除层流分离气泡的破裂。前缘槽结构还可以延缓尾缘分离,抑制动态失速涡的形成,降低脱落涡强度,从而提高叶片升阻比。本文的研究将为vawt叶片的设计提供参考。
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引用次数: 0
Tailor metamaterial bandgaps with bending, folding and twisting for the non-vibration ship pump base 为无振动船舶泵底座定制弯曲、折叠、扭转等超材料带隙
IF 11.8 1区 工程技术 Q1 ENGINEERING, MARINE Pub Date : 2025-05-06 DOI: 10.1016/j.joes.2025.05.001
Liming Zhang , Deqing Yang , Qing Li , Jianghai Qiu
Applying distinctive designs to mechanical metamaterials is an effective way to achieve bandgap generation, widening and movement. In this paper, the bandgaps of metamaterials are tailored through the unique design of bending, folding, and twisting units and applied to the vibration-damping design of a marine water pump base. It is found that the bending operation generates a new complete bandgap and significantly enlarges the directional bandgap in the low-frequency region; the folding operation expands the directional bandgap in the high-frequency region; and the twisting operation generates and broadens the directional bandgap in the mid-frequency region. The application of the negative Poisson's ratio star-shaped metamaterial (NPRSM) cell, with a 60° bending angle, to vibration damping in a metamaterial ship pump base is presented. The new base achieved vibration attenuation of 43.435 dB and 60.282 dB over the bandgap ranges of 517.95 Hz - 668.36 Hz and 916.98 Hz - 965.03 Hz, respectively. In addition, the weight of the new base was reduced by 36.19 % compared to the conventional pump base, which is merely capable of bearing loads. This study provides an innovative design method for broadband vibration isolation and demonstrates the promising future of mechanical metamaterials in practical engineering applications.
在机械超材料中应用独特的设计是实现带隙产生、加宽和移动的有效途径。本文通过独特的弯曲、折叠和扭转单元设计来定制超材料的带隙,并将其应用于船用水泵基座的减振设计中。研究发现,弯曲操作产生了一个新的完整带隙,并显著扩大了低频区域的定向带隙;折叠操作扩大了高频区域的定向带隙;扭转操作在中频区域产生并加宽了定向带隙。介绍了弯曲角为60°的负泊松比星形超材料(NPRSM)电池在船舶超材料泵基座减振中的应用。在517.95 Hz ~ 668.36 Hz和916.98 Hz ~ 965.03 Hz的带隙范围内,新底座的振动衰减分别为43.435 dB和60.282 dB。此外,与仅能承受载荷的传统泵基座相比,新基座的重量减少了36.19%。该研究提供了一种创新的宽带隔振设计方法,展示了机械超材料在实际工程应用中的广阔前景。
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引用次数: 0
Experimental study on dynamic characteristics of nodule particles in multi-field coupling during the Coandă-effect-based hydraulic collection 基于协同效应的水力集流过程中多场耦合中结核颗粒动态特性的实验研究
IF 11.8 1区 工程技术 Q1 ENGINEERING, MARINE Pub Date : 2025-04-26 DOI: 10.1016/j.joes.2025.04.003
Zihan Liu , Yong Yang , Guocheng Zhao , Longfei Xiao
The Coandă-effect-based hydraulic collection, celebrated for its high pick-up efficiency, has become a focus in deep-sea mining. However, prevailing research mainly focused on the performance in clear water environments, overlooking the impact of seabed sediments. This experimental study aims to examine the dynamic characteristics of nodule particles within the "fluid-solid-soil" multi-field under Coandă-effect-based hydraulic collection. The sediments were simulated in the laboratory by mixing the bentonite and water in specific proportions to replicate the physical and mechanical properties of in-situ sediments. A detailed analysis was conducted on the mechanical and motion characteristics of particles under various jet parameters and sediment shear strengths. The results illuminated that the shear strength of the sediment predominantly influenced the soil adhesion force, exhibiting an approximately linear correlation. Subsequent to assessing the collection performance, a criterion for particle incipient motion was proposed, and an empirical formula was established for predicting the maximum lifting force and experimentally confirmed to possess a maximum error below 20%. The pick-up efficiency experiments further demonstrated that when the jet parameters aligned with the critical conditions delineated by using the empirical formula, there was a significant increase to nearly 100% in pick-up efficiency, underscoring the practicality and accuracy of the predictive model. The results can offer theoretical guidance for selecting optimal jet parameters, to ensure efficient collection while minimizing potential environmental impacts due to excessive hydrodynamic forces and sediment erosion.
基于协同效应的液压采集技术以其高采集效率而闻名,已成为深海采矿领域的研究热点。然而,目前的研究主要集中在清水环境下的性能,忽视了海底沉积物的影响。本实验旨在研究基于协同效应的水力收集下“流-固-土”多场中结核颗粒的动态特性。在实验室中,通过将膨润土与水按特定比例混合来模拟沉积物,以复制原位沉积物的物理力学特性。详细分析了不同射流参数和泥沙抗剪强度下颗粒的力学和运动特性。结果表明,泥沙的抗剪强度对土体黏附力的影响最大,表现为近似线性相关关系。在对收集性能进行评价的基础上,提出了颗粒初始运动判据,建立了预测最大举升力的经验公式,实验证实最大误差在20%以下。实验结果进一步表明,当射流参数与经验公式所描述的临界条件一致时,提取效率显著提高至接近100%,表明了预测模型的实用性和准确性。研究结果可以为选择最佳射流参数提供理论指导,以确保高效收集,同时最大限度地减少由于过大的水动力和泥沙侵蚀造成的潜在环境影响。
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引用次数: 0
Experimental and analytical investigation on cryogenic fatigue and fracture behavior of 5% Ni steel welded joints for LEG type B cargo tank LEG B型货舱5% Ni钢焊接接头低温疲劳及断裂行为的实验与分析研究
IF 11.8 1区 工程技术 Q1 ENGINEERING, MARINE Pub Date : 2025-04-15 DOI: 10.1016/j.joes.2025.04.001
Qing-Hua Zhou , Hong-Xiang Xue , Ke-Yi Hu , Hong-Rui Liu , Wen-Ling Tu
Type B cargo tanks in Very Large Ethane Carriers (VLECs), constructed with 5 % Ni steel, exhibit non-negligible probability of cryogenic liquid leakage due to fatigue failure in welded joints under cyclic loads and the presence of pre-existing surface cracks. This study systematically investigates the fatigue and fracture behavior of 5 % Ni steel submerged arc welded (SAW) joints through tensile, fracture toughness, and fatigue crack propagation (FCP) tests at 23 °C and -110 °C. Results demonstrate the SAW joints exhibited superior cryogenic mechanical properties compared to those under ambient condition. A novel methodology integrating critical fatigue fracture location identification and FCP life analysis was developed, utilizing a Weibull-distributed random wave-induced load spectrum generated via Python to simulate operational stresses. FCP analysis using failure assessment diagram (FAD) and the Paris law model revealed critical crack sizes and remaining life at tank vertical support toes. Additionally, the influence of material properties and temperatures on FCP life was quantitatively evaluated. This study addresses the lack of fracture toughness and Paris parameters for 5 % Ni steel SAW joints, providing essential reference for damage tolerance design and safe operation of VLEC type B tanks under cryogenic conditions.
超大型乙烷运输船(VLECs)中的B型货舱由5%镍钢建造,由于在循环载荷下焊接接头的疲劳失效和存在预先存在的表面裂纹,表现出不可忽略的低温液体泄漏概率。本研究通过23°C和-110°C的拉伸、断裂韧性和疲劳裂纹扩展(FCP)测试,系统地研究了5% Ni钢埋弧焊(SAW)接头的疲劳和断裂行为。结果表明,与常温下相比,SAW接头具有更好的低温力学性能。开发了一种集成临界疲劳断裂位置识别和FCP寿命分析的新方法,利用Python生成的weibull分布随机波致载荷谱来模拟运行应力。利用失效评估图(FAD)和Paris定律模型进行FCP分析,揭示了储罐垂直支撑趾的临界裂纹尺寸和剩余寿命。此外,定量评价了材料性能和温度对FCP寿命的影响。该研究解决了5% Ni钢SAW接头断裂韧性和Paris参数不足的问题,为VLEC B型储罐在低温条件下的损伤容限设计和安全运行提供了重要参考。
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引用次数: 0
Sea trials vs prediction by numerical models—Uncertainties in the measurements and prediction of WASP performance 海上试验与数字模型预测--WASP 性能测量和预测的不确定性
IF 13 1区 工程技术 Q1 ENGINEERING, MARINE Pub Date : 2025-04-01 DOI: 10.1016/j.joes.2024.05.001
Fabian Thies, Jonas W. Ringsberg
Accurately predicting the power saving from wind-assisted ship propulsion is one of the most discussed topics in alternative and complementary propulsion methods. Aero- and hydrodynamic interactions between the sails and the ship increase the difficulty of modelling the propulsion contribution theoretically, but the sensibility of sail performance on the wind conditions increases the demands on measurement accuracy if the performance is to be measured in sea trials. This paper analyses and compares the uncertainties of sea trial tests and model predictions by means of parameter variation and Monte Carlo simulations. The results show that sea trials have an uncertainty of 23 %, well above 100 % of the measured savings, if performed using normal onboard equipment. Model uncertainties were found to be between 6 % and 17 % of the predicted savings.
准确预测船舶风助推进的节能效果是替代和互补推进方法研究的热点之一。风帆与船舶之间的气动力和水动力相互作用增加了理论模拟推进力贡献的难度,但风帆性能对风况的敏感性增加了在海上试验中测量性能的精度要求。本文采用参数变分和蒙特卡罗模拟的方法,对海试试验和模型预测的不确定性进行了分析和比较。结果表明,海上试验的不确定性为23%,远高于使用普通船上设备所测得的100%的节省量。模型的不确定性在预测节约的6%到17%之间。
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引用次数: 0
Vessel trajectory prediction with recurrent neural networks: An evaluation of datasets, features, and architectures 利用递归神经网络进行船舶轨迹预测:对数据集、特征和架构的评估
IF 13 1区 工程技术 Q1 ENGINEERING, MARINE Pub Date : 2025-04-01 DOI: 10.1016/j.joes.2024.01.002
Isaac Slaughter , Jagir Laxmichand Charla , Martin Siderius , John Lipor
Maritime situational awareness tasks such as port management, collision avoidance, and search-and-rescue missions rely on accurate knowledge of vessel locations. The availability of historical vessel trajectory data through the Automatic Identification System (AIS) has enabled the development of prediction methods, with a recent focus on trajectory prediction via recurrent neural networks (RNNs) and other deep learning architectures. While these methods have shown promising performance benefits over kinematic and clustering-based models, comparing among RNN-based models remains difficult due to variations in evaluation datasets, region sizes, vessel types, and numerous other design choices. As a result, it is not clear whether recent methods based on highly-sophisticated network architectures are necessary to achieve strong prediction performance. In this work, we present a simple fusion-based RNN approach to vessel trajectory prediction that allows for easy incorporation of exogenous variables. We perform an extensive ablation study to measure the impact of various modeling choices, including preprocessing, loss functions, and the choice of features, as well as the first usage of surface current information in vessel trajectory prediction. We demonstrate that our approach achieves state-of-the-art performance on three large regions off the United States coast, obtaining an improvement of up to 0.88 km over competing methods when predicting three hours into the future. We conclude that our simple architecture can outperform more complicated architectures while incurring a lower memory cost. Further, we show that the choice of loss function and the inclusion of surface current information both have significant impact on prediction performance.
海上态势感知任务,如港口管理、避碰和搜救任务,依赖于对船只位置的准确了解。通过自动识别系统(AIS)获得历史船舶轨迹数据,促进了预测方法的发展,最近的重点是通过循环神经网络(rnn)和其他深度学习架构进行轨迹预测。虽然这些方法与基于运动学和聚类的模型相比表现出了良好的性能优势,但由于评估数据集、区域大小、船舶类型和许多其他设计选择的差异,在基于rnn的模型之间进行比较仍然很困难。因此,目前尚不清楚基于高度复杂的网络架构的最新方法是否有必要实现强大的预测性能。在这项工作中,我们提出了一种简单的基于融合的RNN方法来预测血管轨迹,这种方法可以很容易地结合外生变量。我们进行了广泛的烧蚀研究,以测量各种建模选择的影响,包括预处理、损失函数和特征的选择,以及在船舶轨迹预测中首次使用表面电流信息。我们证明,我们的方法在美国沿海的三个大区域实现了最先进的性能,在预测未来三小时时,与竞争方法相比,提高了0.88公里。我们得出的结论是,我们的简单架构可以在产生更低内存成本的同时胜过更复杂的架构。此外,我们表明损失函数的选择和表面电流信息的包含都对预测性能有显著影响。
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引用次数: 0
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Journal of Ocean Engineering and Science
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