Pub Date : 2025-01-01Epub Date: 2025-04-21DOI: 10.1016/j.ijnaoe.2025.100660
Ji-Hoon Kim , Won-Chan Jeong , Insung Choi , Kwang-Hyeon Lee , Myung-Hyun Kim
The increasing demand for eco-friendly energy has led to a rise in the use of liquefied natural gas (LNG) ships, necessitating materials with superior mechanical and fatigue performance at cryogenic temperatures. High manganese steel has emerged as a promising alternative to conventional cryogenic steels due to its excellent mechanical properties. However, research on its fatigue performance, particularly in hybrid laser arc welding (HLAW), remains limited. This study evaluates the fatigue performance of HLAW joints in high manganese steel and compares the results with those from other welding processes. Comprehensive fatigue tests, including fatigue crack propagation analysis, were conducted to assess the fatigue resistance of the weldments. The results demonstrate that HLAW weldments exhibit superior fatigue resistance and mechanical properties compared to conventional arc-welded joints. These findings confirm the suitability of HLAW for LNG applications with high manganese steel, offering improved weld quality and increased productivity.
{"title":"Fatigue performance of hybrid laser arc welded joints with high manganese steel","authors":"Ji-Hoon Kim , Won-Chan Jeong , Insung Choi , Kwang-Hyeon Lee , Myung-Hyun Kim","doi":"10.1016/j.ijnaoe.2025.100660","DOIUrl":"10.1016/j.ijnaoe.2025.100660","url":null,"abstract":"<div><div>The increasing demand for eco-friendly energy has led to a rise in the use of liquefied natural gas (LNG) ships, necessitating materials with superior mechanical and fatigue performance at cryogenic temperatures. High manganese steel has emerged as a promising alternative to conventional cryogenic steels due to its excellent mechanical properties. However, research on its fatigue performance, particularly in hybrid laser arc welding (HLAW), remains limited. This study evaluates the fatigue performance of HLAW joints in high manganese steel and compares the results with those from other welding processes. Comprehensive fatigue tests, including fatigue crack propagation analysis, were conducted to assess the fatigue resistance of the weldments. The results demonstrate that HLAW weldments exhibit superior fatigue resistance and mechanical properties compared to conventional arc-welded joints. These findings confirm the suitability of HLAW for LNG applications with high manganese steel, offering improved weld quality and increased productivity.</div></div>","PeriodicalId":14160,"journal":{"name":"International Journal of Naval Architecture and Ocean Engineering","volume":"17 ","pages":"Article 100660"},"PeriodicalIF":2.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143899380","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}
Pub Date : 2025-01-01Epub Date: 2024-12-15DOI: 10.1016/j.ijnaoe.2024.100631
Yang Zhang , Se-Myong Chang , Deuk-Joon Yum
A planing craft is one of the most commonly used types for small high-performance vessels since it helps to mitigate the severe viscous friction between the ship hull and water. Therefore, it is essential to develop methods for quickly and accurately estimating the running attitude during the early design phase and in actual operational conditions. We propose the Extended Modified Logvinovich Model (EMLM) for water entry to address the flow separation problem when a wedge-shaped hull enters the free surface during motion. Utilizing a two-dimensional approximation, we analyzed the fundamental potential flow through mathematical techniques for unsteady flow. As a verification, we calculated the dynamic vertical force coefficient compared with CFD(computational fluid dynamics) based on BEM(boundary element method) and an analytic similarity solution, where the results demonstrated good agreement with experimental data for validation.
{"title":"The extended modified Logvinovich model: Application to the water entry of two-dimensional wedges","authors":"Yang Zhang , Se-Myong Chang , Deuk-Joon Yum","doi":"10.1016/j.ijnaoe.2024.100631","DOIUrl":"10.1016/j.ijnaoe.2024.100631","url":null,"abstract":"<div><div>A planing craft is one of the most commonly used types for small high-performance vessels since it helps to mitigate the severe viscous friction between the ship hull and water. Therefore, it is essential to develop methods for quickly and accurately estimating the running attitude during the early design phase and in actual operational conditions. We propose the Extended Modified Logvinovich Model (EMLM) for water entry to address the flow separation problem when a wedge-shaped hull enters the free surface during motion. Utilizing a two-dimensional approximation, we analyzed the fundamental potential flow through mathematical techniques for unsteady flow. As a verification, we calculated the dynamic vertical force coefficient compared with CFD(computational fluid dynamics) based on BEM(boundary element method) and an analytic similarity solution, where the results demonstrated good agreement with experimental data for validation.</div></div>","PeriodicalId":14160,"journal":{"name":"International Journal of Naval Architecture and Ocean Engineering","volume":"17 ","pages":"Article 100631"},"PeriodicalIF":2.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143164719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01Epub Date: 2025-08-07DOI: 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.
{"title":"Effective energy density in small vessels: a comparative study of diesel engines and battery electric propulsion systems","authors":"Haiyang Zhang , Maydison , Heejin Kang , Yun-Ho Kim , Jaewon Jang , Zhiqiang Han , Daekyun Oh","doi":"10.1016/j.ijnaoe.2025.100681","DOIUrl":"10.1016/j.ijnaoe.2025.100681","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":14160,"journal":{"name":"International Journal of Naval Architecture and Ocean Engineering","volume":"17 ","pages":"Article 100681"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144842351","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}
Pub Date : 2025-01-01Epub Date: 2025-10-15DOI: 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.
{"title":"A cooperative coverage path planning method for multiple USVs with dynamic collision avoidance using heuristic fusion and deep reinforcement learning","authors":"Shixiong Wang , Enjiao Zhao , Liang Yi","doi":"10.1016/j.ijnaoe.2025.100695","DOIUrl":"10.1016/j.ijnaoe.2025.100695","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":14160,"journal":{"name":"International Journal of Naval Architecture and Ocean Engineering","volume":"17 ","pages":"Article 100695"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145516408","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}
Pub Date : 2025-01-01Epub Date: 2025-10-28DOI: 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.
{"title":"Multi-system condition monitoring of marine engines: A unified deep learning framework introducing physical prior knowledge","authors":"Bo Wang , Zirui Wang , Chong Yao , Jinshui Chen , Lili Lu , Enzhe Song","doi":"10.1016/j.ijnaoe.2025.100698","DOIUrl":"10.1016/j.ijnaoe.2025.100698","url":null,"abstract":"<div><div>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 R<sup>2</sup> values exceeding 0.99, with tightly clustered residual distributions and low prediction volatility.</div></div>","PeriodicalId":14160,"journal":{"name":"International Journal of Naval Architecture and Ocean Engineering","volume":"17 ","pages":"Article 100698"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145516409","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}
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.
{"title":"Wing shape optimization for an air-launched underwater glider considering impact loads and gliding performance","authors":"Qiang Wang , Xiangcheng Wu , Tianxiang Zhang , 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}
Pub Date : 2025-01-01Epub Date: 2025-08-18DOI: 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, ChangSeop Kwon, 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}
Pub Date : 2025-01-01Epub Date: 2025-10-17DOI: 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.
{"title":"Analysis of sortie generation on an aircraft carrier with discrete event simulation","authors":"Hee-Chang Yoon , Seung-Heon Oh , Jong Hun Woo , Jung-Hoon Chung , Hyuk Lee , Sun-Ah Jung","doi":"10.1016/j.ijnaoe.2025.100697","DOIUrl":"10.1016/j.ijnaoe.2025.100697","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":14160,"journal":{"name":"International Journal of Naval Architecture and Ocean Engineering","volume":"17 ","pages":"Article 100697"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145463082","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}
Pub Date : 2025-01-01Epub Date: 2025-06-03DOI: 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.
{"title":"Finite time trajectory tracking control of underwater salvage robot under full-state constraints","authors":"Xue Bai, Yan Zhang, Wenyi Tan, Yang Liu, Baihui Jiang, 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}
Pub Date : 2025-01-01Epub Date: 2025-06-20DOI: 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.
{"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 , Jinkwang Lee , 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}