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Effective energy density in small vessels: a comparative study of diesel engines and battery electric propulsion systems 小型船舶的有效能量密度:柴油发动机和电池电力推进系统的比较研究
IF 3.9 3区 工程技术 Q2 ENGINEERING, MARINE Pub Date : 2025-01-01 DOI: 10.1016/j.ijnaoe.2025.100681
Haiyang Zhang , Maydison , Heejin Kang , Yun-Ho Kim , Jaewon Jang , Zhiqiang Han , Daekyun Oh
The electric propulsion system has recently attracted considerable interest due to its advantages in reducing emissions. Nevertheless, the deployment of electric propulsion systems in small vessels necessitates rigorous examination and validation. Rather than adopting electric propulsion systems without due consideration, it is preferable to conduct a comprehensive evaluation of their feasibility at the design stage. This study proposes an evaluation method for propulsion systems suitable for small vessels based on effective energy density. The objective is to consider propulsion system equipment factors from the design stage and assess their applicability to small vessels. A reverse design of a battery electric propulsion system for a GT 9.77 fishing boat was conducted, and its effective energy density was compared with that of the original diesel engine propulsion system. The findings demonstrate that under identical weekly sailing design requirements, the effective gravimetric energy density and effective volumetric energy density of the diesel engine propulsion system are 11.95 times and 13.14 times greater, respectively, than those of the battery electric propulsion system. This finding indicates that, given the limitations of current battery technology, battery electric propulsion systems are not a viable option for long-duration sailing fishing boats. Further analysis indicates that the effective energy density of the battery electric propulsion system is superior to that of the diesel engine propulsion system under low-speed, short-duration operating conditions. The findings of this study indicate that the evaluation method based on effective energy density at the design stage is an effective means of determining the suitability of a chosen propulsion system for specific application needs of small vessels. This approach facilitates the design and selection of appropriate propulsion systems.
由于电力推进系统在减少排放方面的优势,最近引起了相当大的兴趣。然而,在小型船舶上部署电力推进系统需要严格的检查和验证。与其不经考虑就采用电力推进系统,不如在设计阶段对其可行性进行全面评估。提出了一种基于有效能量密度的小型船舶推进系统评价方法。目标是从设计阶段就考虑推进系统设备因素,并评估其对小型船舶的适用性。对gt9.77型渔船蓄电池电力推进系统进行了反设计,并与原柴油机推进系统的有效能量密度进行了比较。研究结果表明,在相同的周航行设计要求下,柴油机推进系统的有效重力能量密度和有效体积能量密度分别是电池电力推进系统的11.95倍和13.14倍。这一发现表明,鉴于当前电池技术的局限性,电池电力推进系统对于长时间航行的渔船来说并不是一个可行的选择。进一步分析表明,在低速、短时工况下,电池电力推进系统的有效能量密度优于柴油机推进系统。研究结果表明,设计阶段基于有效能量密度的评估方法是确定所选推进系统是否适合小型船舶特定应用需求的有效手段。这种方法有助于设计和选择合适的推进系统。
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引用次数: 0
Development of flaw acceptance criteria and quality control measures for highly skewed propeller blades 大倾斜螺旋桨叶片缺陷验收标准及质量控制措施的制定
IF 3.9 3区 工程技术 Q2 ENGINEERING, MARINE Pub Date : 2025-01-01 DOI: 10.1016/j.ijnaoe.2025.100685
Hyeon-Su Kim , Dong-Hyun Moon , Dong-Ju Lee , Myung-Hyun Kim
Highly skewed propellers (HSPs), with skew angles over 25 degrees, are widely used to improve propulsion efficiency and reduce noise. However, their unique geometry can negatively impact fatigue performance, especially in nickel-aluminum-bronze (NAB) blades prone to casting flaws. This study re-evaluated current quality control standards, focusing on the risk of thermal embrittlement from post-weld heat treatment (PWHT), which may lower fatigue resistance in repair welds. As an alternative, shot peening was proposed and optimized to enhance fatigue life while meeting quality standards. Additionally, a new flaw evaluation algorithm was developed to visualize the stress intensity factor range (ΔK) and identify severity zones based on the fatigue crack growth threshold (ΔKth). Flaws inside the severity zone undergo fatigue crack growth analysis, while those outside may not require repair. This method enables a more efficient, quantitative assessment of flaw acceptability, improving both the reliability and quality control of HSP blades.
大倾角螺旋桨(HSPs)是一种倾角大于25度的螺旋桨,被广泛用于提高推进效率和降低噪声。然而,其独特的几何形状会对疲劳性能产生负面影响,特别是在容易产生铸造缺陷的镍铝青铜(NAB)叶片中。本研究重新评估了当前的质量控制标准,重点关注焊后热处理(PWHT)的热脆风险,这可能会降低修复焊缝的抗疲劳性。为了在满足质量标准的前提下提高疲劳寿命,提出并优化了喷丸强化方法。此外,开发了一种新的缺陷评估算法,将应力强度因子范围可视化(ΔK),并基于疲劳裂纹扩展阈值识别严重区域(ΔKth)。在严重区域内的缺陷进行疲劳裂纹扩展分析,而在严重区域外的缺陷可能不需要修复。该方法能够更有效、定量地评估缺陷可接受性,从而提高热热加热刀片的可靠性和质量控制。
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引用次数: 0
A cooperative coverage path planning method for multiple USVs with dynamic collision avoidance using heuristic fusion and deep reinforcement learning 基于启发式融合和深度强化学习的多无人驾驶汽车动态避碰协同覆盖路径规划方法
IF 3.9 3区 工程技术 Q2 ENGINEERING, MARINE Pub Date : 2025-01-01 DOI: 10.1016/j.ijnaoe.2025.100695
Shixiong Wang , Enjiao Zhao , Liang Yi
To address the inefficiency and lack of real-time dynamic obstacle avoidance in regional coverage algorithms under complex maritime conditions, this paper proposes a cooperative path planning method for multiple Unmanned Surface Vehicles (USVs) in environments with static and dynamic obstacles. This method employs electronic charts to model the environment, enhancing adaptability to actual sea areas and navigational safety through obstacle expansion and grid processing. Building upon this foundation, it integrates the following three core modules: (1) the Divide Areas Algorithm for Optimal Multi-USVs Coverage Path Planning (DASP) for task assignment, (2) an adaptive heuristic fusion A∗ algorithm for complete static coverage, and (3) an improved Dynamic Window Approach-Artificial potential field framework with Deep Q-learning optimized weights for dynamic obstacle avoidance. Simulation results demonstrate the proposed method's effectiveness in achieving full area coverage and avoiding all obstacles. It reduced the total path lengths by 12.7 %, 7.0 %, and 6.8 % across the three comparison experiments, respectively, while effectively mitigating collision risks and path deviation issues caused by improper parameter selection in complex environments.
针对复杂海上条件下区域覆盖算法效率低、缺乏实时动态避障能力的问题,提出了一种多无人水面车辆在静态和动态障碍物环境下的协同路径规划方法。该方法采用电子海图模拟环境,通过障碍物扩展和网格处理,增强对实际海域的适应性和航行安全性。在此基础上,它集成了以下三个核心模块:(1)用于任务分配的最优多usv覆盖路径规划的划分区域算法(DASP),(2)用于完全静态覆盖的自适应启发式融合A∗算法,以及(3)用于动态避障的改进动态窗口方法-具有深度q学习优化权重的人工势场框架。仿真结果表明,该方法可以有效地实现全区域覆盖和避开所有障碍物。在三个对比实验中,该方法分别减少了12.7%、7.0%和6.8%的总路径长度,同时有效地降低了复杂环境中由于参数选择不当而导致的碰撞风险和路径偏差问题。
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引用次数: 0
Analysis of sortie generation on an aircraft carrier with discrete event simulation 基于离散事件仿真的航空母舰架次生成分析
IF 3.9 3区 工程技术 Q2 ENGINEERING, MARINE Pub Date : 2025-01-01 DOI: 10.1016/j.ijnaoe.2025.100697
Hee-Chang Yoon , Seung-Heon Oh , Jong Hun Woo , Jung-Hoon Chung , Hyuk Lee , Sun-Ah Jung
The sortie generation rate (SGR), defined as the number of sorties an aircraft carrier can launch and recover within a specified time, is a key metric for evaluating operational capacity. However, accurately predicting SGR is challenging due to complex deck constraints, bottlenecks, and maritime conditions. This study proposes a discrete event simulation framework incorporating a graph-based deck layout, dynamic flight program, and detailed sortie generation process model. Three experimental scenarios were tested: evaluating the effects of deck layouts and fighter capacities on sortie performance, optimizing flight program to maximize mission success rate (MSR), and conducting sensitivity analysis to identify critical bottlenecks. Results revealed optimal deck configurations, while flight program optimization improved MSR from 50 % to 100 % and reduced mission delays by 64 %. Sensitivity analysis identified ‘man aircraft’ in pre-flight as critical for SGR performance, highlighting efficiency targets. The proposed framework provides quantitative insights for optimizing carrier operations under realistic constraints.
出动架次生成率(SGR)是衡量航母作战能力的关键指标,指的是航母在规定时间内能够起飞和恢复的架次数量。然而,由于复杂的甲板约束、瓶颈和海上条件,准确预测SGR具有挑战性。本研究提出了一个离散事件仿真框架,包括基于图形的甲板布局、动态飞行计划和详细的架次生成过程模型。测试了三种实验场景:评估甲板布局和战斗机能力对出动性能的影响,优化飞行计划以最大化任务成功率(MSR),以及进行灵敏度分析以识别关键瓶颈。结果显示,优化后的甲板配置将MSR从50%提高到100%,并将任务延误减少了64%。敏感性分析确定飞行前的“人飞机”对SGR性能至关重要,突出了效率目标。所提出的框架为在现实约束下优化航母操作提供了定量的见解。
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引用次数: 0
Multi-system condition monitoring of marine engines: A unified deep learning framework introducing physical prior knowledge 船舶发动机多系统状态监测:引入物理先验知识的统一深度学习框架
IF 3.9 3区 工程技术 Q2 ENGINEERING, MARINE Pub Date : 2025-01-01 DOI: 10.1016/j.ijnaoe.2025.100698
Bo Wang , Zirui Wang , Chong Yao , Jinshui Chen , Lili Lu , Enzhe Song
Marine engines serve as the core components of marine propulsion system. However, in actual operation, it is impossible to accurately capture the internal operating state of the engine. This often results in delayed detection of combustion anomalies and subsystem degradation. To address this challenge, this study proposes a unified deep learning framework that incorporates physics-informed priors for multi-subsystem condition monitoring of marine engines. The goal is to enable accurate and physically consistent predictions of key performance parameters—such as peak firing pressure, peak firing temperature, air–fuel ratio (AFR), compressor work, turbine work, and others—based on limited but commonly available measurements under long-term operating conditions. The proposed Denoising Autoencoder-Physics-informed Multi-Layer Perceptron (DAE-PMLP) model demonstrates superior performance across cylinder, turbocharging, and overall engine power prediction tasks. All predicted tasks achieve R2 values exceeding 0.99, with tightly clustered residual distributions and low prediction volatility.
船用发动机是船舶推进系统的核心部件。然而,在实际运行中,不可能准确地捕捉到发动机的内部运行状态。这通常会导致燃烧异常和子系统退化的延迟检测。为了应对这一挑战,本研究提出了一个统一的深度学习框架,该框架结合了物理信息先验,用于船用发动机的多子系统状态监测。目标是在长期运行条件下,基于有限但常用的测量数据,实现对关键性能参数的准确和物理一致的预测,如峰值点火压力、峰值点火温度、空燃比(AFR)、压缩机工作、涡轮工作等。提出的去噪自编码器-物理信息多层感知器(DAE-PMLP)模型在气缸、涡轮增压和整体发动机功率预测任务中表现出卓越的性能。所有预测任务的R2值均超过0.99,残差分布聚类紧密,预测波动率低。
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引用次数: 0
Finite time trajectory tracking control of underwater salvage robot under full-state constraints 全状态约束下水下打捞机器人的有限时间轨迹跟踪控制
IF 2.3 3区 工程技术 Q2 ENGINEERING, MARINE Pub Date : 2025-01-01 DOI: 10.1016/j.ijnaoe.2025.100663
Xue Bai, Yan Zhang, Wenyi Tan, Yang Liu, Baihui Jiang, Jiawei Wang
Aiming at the problem that the trajectory tracking of underwater salvage robots is subject to model uncertainty and complex unknown interference when working in the marine environment, a finite time trajectory tracking control scheme based on command filtering and full-state constraint is proposed. The scheme uses the super-twisting algorithm to design the observer to accurately estimate the composite disturbance composed of model uncertainty and unknown complex time-varying disturbance in the system. Secondly, the finite-time command filter based on the first-order Levant differentiator is introduced to solve the problem of ”differential explosion” in deriving the virtual control law concerning time. The barrier Lyapunov function, backstepping control method, and finite-time control theory are combined to achieve finite time full-state constraints. Then, the control scheme is verified by Lyapunov stability, which can make the position error and velocity error of the system converge to the stable region in a finite time.
针对水下打捞机器人在海洋环境中工作时轨迹跟踪存在模型不确定性和复杂未知干扰的问题,提出了一种基于命令滤波和全状态约束的有限时间轨迹跟踪控制方案。该方案采用超扭转算法设计观测器,以准确估计系统中由模型不确定性和未知复杂时变扰动组成的复合扰动。其次,引入基于一阶黎凡特微分器的有限时间命令滤波器,解决了在推导含时虚拟控制律时的“差分爆炸”问题;将势垒Lyapunov函数、反演控制方法和有限时间控制理论相结合,实现有限时间全状态约束。然后,通过Lyapunov稳定性对控制方案进行验证,该控制方案能使系统的位置误差和速度误差在有限时间内收敛到稳定区域。
{"title":"Finite time trajectory tracking control of underwater salvage robot under full-state constraints","authors":"Xue Bai,&nbsp;Yan Zhang,&nbsp;Wenyi Tan,&nbsp;Yang Liu,&nbsp;Baihui Jiang,&nbsp;Jiawei Wang","doi":"10.1016/j.ijnaoe.2025.100663","DOIUrl":"10.1016/j.ijnaoe.2025.100663","url":null,"abstract":"<div><div>Aiming at the problem that the trajectory tracking of underwater salvage robots is subject to model uncertainty and complex unknown interference when working in the marine environment, a finite time trajectory tracking control scheme based on command filtering and full-state constraint is proposed. The scheme uses the super-twisting algorithm to design the observer to accurately estimate the composite disturbance composed of model uncertainty and unknown complex time-varying disturbance in the system. Secondly, the finite-time command filter based on the first-order Levant differentiator is introduced to solve the problem of ”differential explosion” in deriving the virtual control law concerning time. The barrier Lyapunov function, backstepping control method, and finite-time control theory are combined to achieve finite time full-state constraints. Then, the control scheme is verified by Lyapunov stability, which can make the position error and velocity error of the system converge to the stable region in a finite time.</div></div>","PeriodicalId":14160,"journal":{"name":"International Journal of Naval Architecture and Ocean Engineering","volume":"17 ","pages":"Article 100663"},"PeriodicalIF":2.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144221254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Wing shape optimization for an air-launched underwater glider considering impact loads and gliding performance 考虑冲击载荷和滑翔性能的空射水下滑翔机翼形优化
IF 3.9 3区 工程技术 Q2 ENGINEERING, MARINE Pub Date : 2025-01-01 DOI: 10.1016/j.ijnaoe.2025.100683
Qiang Wang , Xiangcheng Wu , Tianxiang Zhang , Yuxin Xu
The air-launched underwater glider has two typical scenarios that need to be specially considered in its design: the water impact stage after air-launched deployment and the gliding stage of the glider in the water. The wing shape of the underwater glider has a significant impact on the hydrodynamic performance in both scenarios. This study proposes a multi-objective optimization method for the wing shape optimization of air-launched gliders, comprehensively considering the gliding motion performance and impact load performance during water entry. An Artificial Neural Network (ANN) and Polynomial Response Surface (PRS) method were used to establish surrogate models for the gliding motion and impact load, respectively, and the accuracy of these surrogate models was verified. The sensitivities of the different design variables to the output parameters were analyzed. An optimized wing shape can improve the gliding range and reduce the impact load. Considering the uncertainties in the net buoyancy and energy consumption in practical applications, an interval optimization algorithm for wing shape optimization was proposed. The interval optimization results provided a more reasonable wing-shape design scheme.
空射式水下滑翔机在设计时需要特别考虑两种典型场景:空射展开后的水冲击阶段和滑翔机在水中的滑行阶段。在这两种情况下,水下滑翔机的翼形对其水动力性能都有显著影响。本文提出了一种综合考虑滑翔运动性能和入水冲击载荷性能的多目标翼形优化方法。采用人工神经网络(ANN)和多项式响应面(PRS)方法分别建立了滑翔运动和冲击载荷的代理模型,并验证了代理模型的准确性。分析了不同设计变量对输出参数的敏感性。优化后的翼型可以提高滑翔距离,减小冲击载荷。考虑到实际应用中净浮力和能耗的不确定性,提出了一种用于机翼外形优化的区间优化算法。区间优化结果提供了更为合理的翼型设计方案。
{"title":"Wing shape optimization for an air-launched underwater glider considering impact loads and gliding performance","authors":"Qiang Wang ,&nbsp;Xiangcheng Wu ,&nbsp;Tianxiang Zhang ,&nbsp;Yuxin Xu","doi":"10.1016/j.ijnaoe.2025.100683","DOIUrl":"10.1016/j.ijnaoe.2025.100683","url":null,"abstract":"<div><div>The air-launched underwater glider has two typical scenarios that need to be specially considered in its design: the water impact stage after air-launched deployment and the gliding stage of the glider in the water. The wing shape of the underwater glider has a significant impact on the hydrodynamic performance in both scenarios. This study proposes a multi-objective optimization method for the wing shape optimization of air-launched gliders, comprehensively considering the gliding motion performance and impact load performance during water entry. An Artificial Neural Network (ANN) and Polynomial Response Surface (PRS) method were used to establish surrogate models for the gliding motion and impact load, respectively, and the accuracy of these surrogate models was verified. The sensitivities of the different design variables to the output parameters were analyzed. An optimized wing shape can improve the gliding range and reduce the impact load. Considering the uncertainties in the net buoyancy and energy consumption in practical applications, an interval optimization algorithm for wing shape optimization was proposed. The interval optimization results provided a more reasonable wing-shape design scheme.</div></div>","PeriodicalId":14160,"journal":{"name":"International Journal of Naval Architecture and Ocean Engineering","volume":"17 ","pages":"Article 100683"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144917800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Corrigendum to ‘A conceptual study of 15,000 TEU SMR-powered containerships’ [Int. J. Nav. Archit. Ocean Eng. 17 (2025) 100662] “15,000 TEU smr动力集装箱船的概念研究”的勘误表[Int.]j . Nav。Archit。海洋工程17 (2025)100662]
IF 3.9 3区 工程技术 Q2 ENGINEERING, MARINE Pub Date : 2025-01-01 DOI: 10.1016/j.ijnaoe.2025.100686
Kyeongho Kim, ChangSeop Kwon, Sanghwan Kim
{"title":"Corrigendum to ‘A conceptual study of 15,000 TEU SMR-powered containerships’ [Int. J. Nav. Archit. Ocean Eng. 17 (2025) 100662]","authors":"Kyeongho Kim,&nbsp;ChangSeop Kwon,&nbsp;Sanghwan Kim","doi":"10.1016/j.ijnaoe.2025.100686","DOIUrl":"10.1016/j.ijnaoe.2025.100686","url":null,"abstract":"","PeriodicalId":14160,"journal":{"name":"International Journal of Naval Architecture and Ocean Engineering","volume":"17 ","pages":"Article 100686"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144996397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comparative study of vapor pressure requirements for rule-based design of IMO Type C tanks for LCO2: Guidelines for optimizing pressure conditions IMO C型LCO2储罐基于规则设计蒸汽压力要求的比较研究:优化压力条件指南
IF 2.3 3区 工程技术 Q2 ENGINEERING, MARINE Pub Date : 2025-01-01 DOI: 10.1016/j.ijnaoe.2025.100668
Younseok Choi , Jinkwang Lee , Jae Min Lee
The safe and efficient design of liquefied carbon dioxide (LCO2) storage tanks is essential for carbon capture, utilization, and storage (CCUS), particularly in maritime transport. IMO Type C pressure vessels are widely used, with minimum design vapor pressure determined by rule-based criteria. These regulations, based on fracture mechanics principles, prevent crack propagation-induced leaks. However, discrepancies between regulatory and operational pressures increase design complexity and iterative modifications. This study presents a thermodynamic framework to assess the gap between rule-based and actual vapor pressures and identifies volume-dependent implications for pressure control and insulation design. Simulations for 1000–5000 m3 tanks show that small tanks (1000–2000 m3) may exceed regulatory pressure limits, requiring enhanced insulation or pressure control. In contrast, large tanks (3000–5000 m3) are governed by conservative rule-based limits, suggesting potential for operational adjustments. The results offer an early-stage design guide balancing efficiency and regulatory compliance, supporting safe, economical marine LCO2 transport system development.
安全高效的液化二氧化碳(LCO2)储罐设计对于碳捕获、利用和储存(CCUS)至关重要,特别是在海上运输中。IMO C型压力容器广泛使用,其最小设计蒸汽压力由基于规则的标准确定。这些规则基于断裂力学原理,防止裂纹扩展引起的泄漏。然而,监管压力和操作压力之间的差异增加了设计的复杂性和迭代修改。本研究提出了一个热力学框架来评估基于规则的蒸汽压力和实际蒸汽压力之间的差距,并确定了压力控制和绝缘设计中与体积相关的含义。对1000-5000立方米储罐的模拟表明,小型储罐(1000-2000立方米)可能超过监管压力限制,需要加强绝缘或压力控制。相比之下,大型储罐(3000-5000立方米)受保守的基于规则的限制,这表明操作调整的潜力。研究结果为平衡效率和法规遵从性提供了早期设计指导,支持安全、经济的海上LCO2运输系统开发。
{"title":"Comparative study of vapor pressure requirements for rule-based design of IMO Type C tanks for LCO2: Guidelines for optimizing pressure conditions","authors":"Younseok Choi ,&nbsp;Jinkwang Lee ,&nbsp;Jae Min Lee","doi":"10.1016/j.ijnaoe.2025.100668","DOIUrl":"10.1016/j.ijnaoe.2025.100668","url":null,"abstract":"<div><div>The safe and efficient design of liquefied carbon dioxide (LCO<sub>2</sub>) storage tanks is essential for carbon capture, utilization, and storage (CCUS), particularly in maritime transport. IMO Type C pressure vessels are widely used, with minimum design vapor pressure determined by rule-based criteria. These regulations, based on fracture mechanics principles, prevent crack propagation-induced leaks. However, discrepancies between regulatory and operational pressures increase design complexity and iterative modifications. This study presents a thermodynamic framework to assess the gap between rule-based and actual vapor pressures and identifies volume-dependent implications for pressure control and insulation design. Simulations for 1000–5000 m<sup>3</sup> tanks show that small tanks (1000–2000 m<sup>3</sup>) may exceed regulatory pressure limits, requiring enhanced insulation or pressure control. In contrast, large tanks (3000–5000 m<sup>3</sup>) are governed by conservative rule-based limits, suggesting potential for operational adjustments. The results offer an early-stage design guide balancing efficiency and regulatory compliance, supporting safe, economical marine LCO<sub>2</sub> transport system development.</div></div>","PeriodicalId":14160,"journal":{"name":"International Journal of Naval Architecture and Ocean Engineering","volume":"17 ","pages":"Article 100668"},"PeriodicalIF":2.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144604145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A U-net based reconstruction of high-fidelity simulation results for flow around a ship hull based on low-fidelity inviscid flow simulation 在低保真无粘流模拟的基础上,基于U-net的船体绕流高保真模拟结果重建
IF 2.3 3区 工程技术 Q2 ENGINEERING, MARINE Pub Date : 2025-01-01 DOI: 10.1016/j.ijnaoe.2025.100676
Dayeon Kim , Jeongbeom Seo , Inwon Lee
In this study, neural networks are trained to transform inviscid simulation data for flow around a ship hull into data representative of viscous flow simulations. The objective is to provide high-fidelity viscous flow simulation data using machine learning in conjunction with inviscid flow simulation results, which are significantly less time-consuming to generate. This approach has the potential to accelerate high-fidelity flow simulations by a factor of more than 100, enabling simulation-based design for ship hulls with numerous repetitive cases. To create the training dataset, a variety of hull forms are generated from six baseline hull forms using parametric modification function techniques. Inviscid and viscous flow data for each hull are obtained through potential flow analysis and computational fluid dynamics - simulations, respectively. The neural network structure and hyperparameters are subsequently optimized through parametric studies. The trained neural networks are then employed to predict viscous flow simulation data based on inputs comprising inviscid flow data and hull form geometry. The results demonstrate that the neural networks successfully predicted both the pressure distribution around the hull and the free surface elevation. Notably, the ability to predict the free surface elevation is significant, given that inviscid flow simulations inherently lack this capability. Additionally, the neural network's dimensionality reduction feature is utilized to visualize how the flow and hull form data were clustered within the latent space based on baseline hull forms and ship speed.
在本研究中,训练神经网络将船体周围流动的无粘模拟数据转换为具有代表性的粘性流动模拟数据。目标是使用机器学习结合无粘流动模拟结果提供高保真的粘性流动模拟数据,这大大减少了生成时间。这种方法有可能将高保真流动模拟的速度提高100倍以上,从而实现具有许多重复情况的船体的基于仿真的设计。为了创建训练数据集,使用参数修改函数技术从六个基线船体形状生成各种船体形状。通过势流分析和计算流体力学模拟,分别获得了船体的无粘流和粘性流数据。随后通过参数化研究对神经网络结构和超参数进行优化。然后使用训练好的神经网络来预测基于非粘性流动数据和船体形状几何的粘性流动模拟数据。结果表明,该神经网络成功地预测了船体周围的压力分布和自由水面高度。值得注意的是,考虑到无粘流模拟本身缺乏这种能力,预测自由表面高程的能力是非常重要的。此外,利用神经网络的降维特征来可视化基于基线船体形状和船舶速度的潜在空间内的流量和船体形状数据的聚类情况。
{"title":"A U-net based reconstruction of high-fidelity simulation results for flow around a ship hull based on low-fidelity inviscid flow simulation","authors":"Dayeon Kim ,&nbsp;Jeongbeom Seo ,&nbsp;Inwon Lee","doi":"10.1016/j.ijnaoe.2025.100676","DOIUrl":"10.1016/j.ijnaoe.2025.100676","url":null,"abstract":"<div><div>In this study, neural networks are trained to transform inviscid simulation data for flow around a ship hull into data representative of viscous flow simulations. The objective is to provide high-fidelity viscous flow simulation data using machine learning in conjunction with inviscid flow simulation results, which are significantly less time-consuming to generate. This approach has the potential to accelerate high-fidelity flow simulations by a factor of more than 100, enabling simulation-based design for ship hulls with numerous repetitive cases. To create the training dataset, a variety of hull forms are generated from six baseline hull forms using parametric modification function techniques. Inviscid and viscous flow data for each hull are obtained through potential flow analysis and computational fluid dynamics - simulations, respectively. The neural network structure and hyperparameters are subsequently optimized through parametric studies. The trained neural networks are then employed to predict viscous flow simulation data based on inputs comprising inviscid flow data and hull form geometry. The results demonstrate that the neural networks successfully predicted both the pressure distribution around the hull and the free surface elevation. Notably, the ability to predict the free surface elevation is significant, given that inviscid flow simulations inherently lack this capability. Additionally, the neural network's dimensionality reduction feature is utilized to visualize how the flow and hull form data were clustered within the latent space based on baseline hull forms and ship speed.</div></div>","PeriodicalId":14160,"journal":{"name":"International Journal of Naval Architecture and Ocean Engineering","volume":"17 ","pages":"Article 100676"},"PeriodicalIF":2.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144702179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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International Journal of Naval Architecture and Ocean Engineering
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