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Scheduling optimization of hull block assembly line using constraint programming and discrete-event simulation 基于约束规划和离散事件仿真的船体分段装配线调度优化
IF 3.9 3区 工程技术 Q2 ENGINEERING, MARINE Pub Date : 2025-01-01 DOI: 10.1016/j.ijnaoe.2025.100675
Dong Hoon Kwak , Ki-Young Cho , Cheolho Ryu , Jong Hun Woo
Scheduling of a block assembly line in a shipyard is commonly known as the Permutation Flow-shop Scheduling Problem (PFSP) in Operation Research (OR), which has been extensively studied in various papers since the 1950s. However, existing solutions often involve simplifying real-world problems with certain assumptions, limiting their practical applicability. In recent times, Constraint Programming (CP) has emerged as a strong alternative to exact algorithms and has been successfully applied to various PFSP problems, addressing the limitations of exact algorithms. In light of this, our study proposes a two-step optimization process to overcome these limitations. First, a new PFSP problem, Multi-Objective PFSP with hard due date constraint (MOPFSP-hd) is introduced. The problem is solved with CP algorithm. Next, the feasibility and objective value of the optimized solution is validated using Discrete-Event Simulation (DES). Two industrial cases are conducted to evaluate the performance of our proposed framework. The experimental results from both cases demonstrated a significant improvement in makespan compared to manually planned schedule. Additionally, the solutions derived from our proposed model are reported to be feasible, while the manually planned schedules are often infeasible by not satisfying all the constraints or encountering delays. Finally, the difference between the objectives calculated from CP and DES model is analyzed quantitatively using Critical Path Method (CPM).
船厂装配线的调度问题通常被称为运筹学中的置换流水车间调度问题,自20世纪50年代以来,已有许多论文对该问题进行了广泛的研究。然而,现有的解决方案通常涉及用某些假设简化现实世界的问题,限制了它们的实际适用性。近年来,约束规划(CP)已成为精确算法的一种强有力的替代方案,并已成功地应用于各种PFSP问题,解决了精确算法的局限性。鉴于此,我们的研究提出了一个两步优化过程来克服这些限制。首先,提出了一种新的PFSP问题——带硬到期日约束的多目标PFSP (MOPFSP-hd)。用CP算法解决了这一问题。其次,利用离散事件仿真(DES)验证了优化方案的可行性和目标值。通过两个工业案例来评估我们提出的框架的性能。两种情况下的实验结果都表明,与手动计划的进度相比,最大完工时间有了显著的改进。此外,从我们提出的模型中得到的解决方案被认为是可行的,而手动计划的时间表通常由于不满足所有约束或遇到延迟而不可行。最后,利用关键路径法(Critical Path Method, CPM)定量分析了CP模型与DES模型计算的目标之间的差异。
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引用次数: 0
Study on key technologies of a nuclear-powered icebreaker 核动力破冰船关键技术研究
IF 3.9 3区 工程技术 Q2 ENGINEERING, MARINE Pub Date : 2025-01-01 DOI: 10.1016/j.ijnaoe.2025.100703
Yong Hwan Yoo , Han Koo Jeong , Jihoon Lee , Young Woo Rhee , Si Hyung Kim , Seung Youb Han , Yeongin Park , Soo Hyoung Kim , Yong Hoon Jeong , Hagtae Kim
The shipbuilding industry of the Republic of Korea considers nuclear energy as a possible candidate for complying with the IMO (International Maritime Organization) protocol, "The International Convention for the Prevention of Pollution from Ships," improving transportation efficiency, and developing the Northern Sea Route and resources. The Korea Atomic Energy Research Institute (KAERI), Hanwha Ocean, KAIST, and Kunsan National University have collaboratively researched on eight key technologies needed to merge the shipbuilding and nuclear industries into nuclear-powered ships. Through various methods, remarkable results are achieved for eight subtopics. The research focuses on the conceptual design of a nuclear reactor for a class-8 icebreaker, the uni-axial Control Rod Drive Mechanism (CRDM) design, the integrated passive residual heat removal system, high-performance neutron absorbers, and the overall design and arrangement of the icebreaker. Additionally, an analysis is conducted to assess the ship's operational performance and safety against explosions and fire accidents. The research results are expected to provide foundational data for future research and design efforts in nuclear-powered ships.
韩国造船业认为,核能是符合IMO(国际海事组织)议定书“防止船舶污染国际公约”、提高运输效率、开发北方航道和资源的可能候选能源。韩国原子能研究院(KAERI)、韩华海洋、KAIST、群山大学共同研究了将造船和核工业融合为核动力船舶所需的8项关键技术。通过各种方法,对八个子主题取得了显著的效果。研究重点是8级破冰船核反应堆的概念设计、单轴控制棒驱动机构(CRDM)设计、集成被动余热排出系统、高性能中子吸收器以及破冰船的总体设计与布置。此外,还进行了分析,以评估船舶的操作性能和对爆炸和火灾事故的安全性。研究结果有望为未来核动力船舶的研究和设计工作提供基础数据。
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引用次数: 0
Influence of shaft motor/generator on dynamic behavior of natural gas/diesel dual-fuel engine in ship hybrid propulsion system under various operating conditions 轴向电机/发电机对船舶混合推进系统中天然气/柴油双燃料发动机在不同工况下动力特性的影响
IF 3.9 3区 工程技术 Q2 ENGINEERING, MARINE Pub Date : 2025-01-01 DOI: 10.1016/j.ijnaoe.2025.100700
Rui Wang, Yu Ding, Congbiao Sui, La Xiang
To reduce shipping emissions, natural gas is a viable alternative fuel for marine engines. However, natural gas (or natural gas/diesel dual-fuel) engines exhibit poor dynamic performance, potentially compromising ship safety in adverse conditions. The hybrid propulsion system, which consists of the main engine and shaft motor/generator (MG), can enhance the operational safety of ocean-going cargo ships. This study integrates a mean - value dual-fuel engine model into a hybrid system for a chemical tanker, analyzing dual-fuel engine's dynamic operating range limited by thermal load, surge, knocking, and misfire. The dynamic behavior of dual-fuel engine assisted by shaft MG in different dynamic operating conditions is also investigated. Results show the shaft MG helps smooth load fluctuations, mitigates thermal load and other adverse effects, and improves engine performance. However, the MG's effectiveness does not scale linearly with power output; it should be controlled to make the load change acceptable for the main engine.
为了减少船舶排放,天然气是船舶发动机可行的替代燃料。然而,天然气(或天然气/柴油双燃料)发动机表现出较差的动态性能,在不利条件下可能危及船舶安全。由主机和轴电机/发电机(MG)组成的混合动力推进系统可以提高远洋货船的运行安全性。本研究将均值双燃料发动机模型集成到某化工船的混合动力系统中,分析了双燃料发动机在热负荷、喘振、爆震和失火的限制下的动态工作范围。研究了双燃料发动机在不同动态工况下的动态特性。结果表明,轴系MG有助于平稳负荷波动,减轻热负荷和其他不利影响,提高发动机性能。然而,MG的有效性并不与功率输出成线性比例;应加以控制,使负荷变化为主机所能接受。
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引用次数: 0
E2E neural predictive control for vessel: Autonomous berthing via DRL and PIM-MPC 船舶E2E神经预测控制:基于DRL和PIM-MPC的自主靠泊
IF 3.9 3区 工程技术 Q2 ENGINEERING, MARINE Pub Date : 2025-01-01 DOI: 10.1016/j.ijnaoe.2025.100692
Yong Xiong, Yuliang Sun
In complex marine environments, vessel berthing operations face challenges including nonlinear dynamic effects, strong coupling issues, environmental uncertainties, underactuated characteristics, and multiple constraints. This study proposes a fully data-driven end-to-end vessel berthing control strategy based on Deep Reinforcement Learning (DRL). The study trained a Long Short-Term Memory (LSTM) neural network predictive model using historical vessel input–output data and designed a Model Predictive Controller (MPC) to achieve precise berthing operations. Furthermore, the study introduced a Random Forest model to enhance berthing accuracy and reduce control input fluctuations. To further improve berthing safety and real-time performance, the study developed a Refined Integration Method (RIM), proposing the PIM-MPC approach to optimize berthing maneuvers, with comparative analysis against the Random Forest model. Simulation results confirm the proposed method achieves high-precision berthing under complex environmental disturbances without requiring accurate vessel dynamics models. This approach enhances real-time performance and significantly reduces control input fluctuations compared to Random Forest methods, while simultaneously improving berthing safety despite requiring no prior berthing control input data. This method demonstrated its capability to achieve highly precise berthing of large vessels within confined port environments. Comprehensive full-scale vessel experiments rigorously validated its feasibility and effectiveness.
在复杂的海洋环境中,船舶靠泊作业面临着非线性动力效应、强耦合问题、环境不确定性、欠驱动特性和多重约束等挑战。本研究提出了一种基于深度强化学习(DRL)的完全数据驱动的端到端船舶靠泊控制策略。该研究利用船舶历史输入输出数据训练了一个长短期记忆(LSTM)神经网络预测模型,并设计了一个模型预测控制器(MPC)来实现精确的靠泊操作。此外,研究还引入了随机森林模型,以提高靠泊精度,减少控制输入的波动。为了进一步提高靠泊的安全性和实时性,本研究提出了一种精细集成方法(RIM),提出了PIM-MPC方法来优化靠泊操作,并与随机森林模型进行了对比分析。仿真结果表明,该方法无需精确的船舶动力学模型,即可实现复杂环境下的高精度靠泊。与随机森林方法相比,该方法提高了实时性,显著减少了控制输入的波动,同时提高了靠泊安全性,尽管不需要事先的靠泊控制输入数据。结果表明,该方法具有在密闭港口环境下实现大型船舶高精度靠泊的能力。全面的全尺寸船舶实验严格验证了该方法的可行性和有效性。
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引用次数: 0
Automated design parameter extraction and restoration from 2D propeller drawings 从2D螺旋桨图纸中自动提取和恢复设计参数
IF 3.9 3区 工程技术 Q2 ENGINEERING, MARINE Pub Date : 2025-01-01 DOI: 10.1016/j.ijnaoe.2025.100689
Jun-Su Park, Seung-Ho Ham
The shipbuilding industry increasingly needs 3D propeller models from 2D drawings for repair, retrofitting, and energy-saving device (ESD) analysis. However, clients often provide only 2D drawings due to security, making manual information extraction for propeller models time-consuming, labor-intensive, and prone to errors. This highlights the need for automated, accurate extraction techniques. This study proposes a line detection and information extraction method to obtain design parameters from 2D propeller drawings. The method converts PDF drawings to images, preprocesses them, and then uses a path-finding algorithm to detect lines and extract information. This extracted data is converted into design parameters like rake, skew, chord length, camber, and thickness through offset data acquisition. Applying this method to propeller drawings significantly reduces time and effort compared to manual work, greatly improving efficiency and restoration accuracy. The method effectively detects complex and overlapping lines, and the quantitative accuracy of the extracted design parameters has been validated, with most parameters showing less than 1 % error.
造船业越来越需要2D图纸中的3D螺旋桨模型,用于维修、改造和节能装置(ESD)分析。但出于安全考虑,客户通常只提供2D图纸,手动提取螺旋桨模型信息耗时费力,且容易出错。这凸显了对自动化、精确提取技术的需求。本文提出了一种从螺旋桨二维图纸中获取设计参数的直线检测和信息提取方法。该方法将PDF图纸转换为图像,对其进行预处理,然后使用寻路算法检测线条并提取信息。这些提取的数据通过偏移数据采集转换为设计参数,如前倾角、斜度、弦长、弧度和厚度。将该方法应用于螺旋桨图纸,与手工工作相比,大大减少了时间和精力,大大提高了效率和恢复精度。该方法有效地检测了复杂和重叠的线条,并验证了提取的设计参数的定量准确性,大多数参数的误差小于1%。
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引用次数: 0
Analysis of object detection accuracy based on the density of 3D point clouds for deep learning-based shipyard datasets 基于深度学习船厂数据集三维点云密度的目标检测精度分析
IF 2.3 3区 工程技术 Q2 ENGINEERING, MARINE Pub Date : 2025-01-01 DOI: 10.1016/j.ijnaoe.2025.100648
Ki-Seok Jung , Dong-Kun Lee
3D point clouds are a crucial data format for accurately capturing geometric information in large-scale industrial environments such as shipyards. Deep learning-based object detection technology using 3D point clouds enables automated production management and process optimization. However, the large volume characteristic of 3D point clouds remains a challenge due to the resources and time required for data processing and dataset construction. The large volume of 3D point clouds leads to excessive computational costs, storage demands, and time consumption during dataset construction and training. Therefore, it is necessary to appropriately reduce the dataset size for efficient utilization while ensuring object detection performance. This necessitates a study on dataset downsampling strategies that maintain optimal density and detection accuracy. In this study, an experimental dataset similar to the S3DIS (Stanford Large-Scale 3D Indoor Spaces) dataset was constructed. The density of the 3D point clouds was adjusted in five levels by reducing points per unit area by 20% increments. These datasets were applied to a deep learning architecture to analyze object detection accuracy. Subsequently, the findings were applied to a shipyard dataset to streamline large volume point clouds and evaluate detection performance, thereby assessing their practical applicability. The results demonstrated that reducing the experimental dataset density to approximately 20% still maintained object detection accuracy of around 95% IoU for key objects. This indicates that lightweight datasets can reduce processing resources and costs while preserving detection performance. Additionally, applying the approach to real shipyard datasets revealed that object detection was feasible with reduced data (approximately 4.6% of the raw data). This study provides a practical framework for constructing efficient deep learning models for object detection by downsampling datasets in large-scale industrial environments like shipyards. It is expected to contribute to the establishment of automated data management systems for production management and process efficiency enhancement. Further analysis is required to evaluate performance at extreme low densities (below 20%). Moreover, while this study employed simple downsampling techniques, future work should explore the performance of various downsampling methods to optimize detection accuracy.
三维点云是在造船厂等大型工业环境中准确捕获几何信息的关键数据格式。使用3D点云的基于深度学习的目标检测技术可实现自动化生产管理和流程优化。然而,由于数据处理和数据集构建所需的资源和时间,三维点云的大体积特征仍然是一个挑战。大量的三维点云导致数据集构建和训练过程中计算成本、存储需求和时间消耗过大。因此,在保证目标检测性能的同时,适当减小数据集的大小是很有必要的。这就需要研究保持最佳密度和检测精度的数据集降采样策略。本研究构建了一个类似于S3DIS (Stanford Large-Scale 3D Indoor Spaces)数据集的实验数据集。通过将单位面积上的点减少20%的增量,对三维点云的密度进行了五个级别的调整。这些数据集被应用于一个深度学习架构来分析目标检测的准确性。随后,将研究结果应用于造船厂数据集,以简化大体积点云并评估检测性能,从而评估其实际适用性。结果表明,将实验数据集密度降低到20%左右,对于关键目标仍然保持95% IoU左右的目标检测精度。这表明轻量级数据集可以在保持检测性能的同时减少处理资源和成本。此外,将该方法应用于真实造船厂数据集表明,减少数据(约为原始数据的4.6%)的目标检测是可行的。该研究为构建高效的深度学习模型提供了一个实用框架,该模型通过对造船厂等大型工业环境中的数据集进行下采样来进行目标检测。预期它将有助于建立自动化数据管理系统,以促进生产管理和提高过程效率。需要进一步分析以评估极低密度(低于20%)下的性能。此外,虽然本研究采用了简单的下采样技术,但未来的工作应该探索各种下采样方法的性能,以优化检测精度。
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引用次数: 0
Mitigation of the residual stress and deformation in seam pipe with girth welding and cutting 采用环焊和切缝法缓解焊缝管残余应力和变形
IF 2.3 3区 工程技术 Q2 ENGINEERING, MARINE Pub Date : 2025-01-01 DOI: 10.1016/j.ijnaoe.2025.100657
Ji-Sun Roh, Myung-Hyun Kim
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引用次数: 0
An advanced technique to adjust hull girder load: Part 1 = generalisation 一种调整船体梁载的先进技术:第1部分:概述
IF 2.3 3区 工程技术 Q2 ENGINEERING, MARINE Pub Date : 2025-01-01 DOI: 10.1016/j.ijnaoe.2025.100645
Chang Hwan Jang , Do Kyun Kim
In this study (Part 1), a method is proposed to adjust the loads to achieve the target hull girder load with or without local loads on ships and ship-like structures. Each force or pressure load is referred to as a local load and the sum of forces and moments integrated with respect to the station is referred to as the hull girder load or global load. The hull girder load is composed of axial force (AF), vertical shear force (VSF), horizontal shear force (HSF), torsional moment (TM), vertical bending moment (VBM) and horizontal bending moment (HBM), each of which is related to each other by forces in the x, y and z directions. The adjustment of hull girder loads is required in hull structural analyses with various model extents and boundary conditions. In the whole ship model, it is necessary to implement more accurate hull girder loads and in the cargo hold, fore and aft body model, it is necessary to adjust the hull girder loads calculated from local loads to the target value. In the adjustment of the hull girder load, it is not only important to adjust it more accurately to the target value, but also the distribution of the added load is very important. In general, the hull girder load is adjusted to the target value by adding forces in the x, y and z directions to nodes in the cross section of the hull. If the forces are placed by considering only the position of the nodes, the loads may be concentrated or applied in a different direction from the placement of the elements, resulting in unexpected stresses or deformations in the structural analysis. It is necessary to consider not only the node position but also the size and orientation of the element for force distribution. In this paper, the load distribution at each node is obtained from the product of the directional effective area of the element and the stress field of the beam. The proposed method is validated by adjusting the hull girder loads to the target value for a beam structure with idealised hull. The method proposed in this study will be applied to actual ships in Part 2 (Jang and Kim, 2025a), and its applicability and extendibility are to be verified. This is considered to be beneficial for ship and offshore structural designers including oil/gas and ocean mobilities.
在本研究(第1部分)中,提出了一种船舶及类船结构在有无局部荷载的情况下,通过调整荷载达到船体梁目标荷载的方法。每个力或压力荷载被称为局部荷载,力和力矩的总和被称为船体梁荷载或整体荷载。船体梁荷载由轴向力(AF)、垂直剪力(VSF)、水平剪力(HSF)、扭转力矩(TM)、垂直弯矩(VBM)和水平弯矩(HBM)组成,各弯矩之间通过x、y、z方向的力相互关联。在不同模型范围和边界条件下的船体结构分析中,需要对船体梁荷载进行调整。在全船模型中,需要实现更精确的船体梁载荷,在货舱、前后船体模型中,需要将计算的船体梁载荷从局部载荷调整到目标值。在船体梁荷载的调整中,不仅要将其更准确地调整到目标值,而且附加荷载的分布也很重要。一般情况下,通过在船体横截面节点上增加x、y、z方向的力,将船体梁荷载调整到目标值。如果只考虑节点的位置来施加力,则载荷可能会集中或施加在与单元位置不同的方向上,从而导致结构分析中出现意想不到的应力或变形。力的分布不仅要考虑节点的位置,还要考虑单元的大小和方向。本文通过单元的定向有效面积与梁的应力场的乘积得到各节点处的荷载分布。通过将理想船体梁结构的船体梁荷载调整到目标值,验证了该方法的有效性。本研究提出的方法将在第2部分(Jang and Kim, 2025a)中应用于实际船舶,并验证其适用性和可扩展性。这被认为是有利于船舶和海上结构设计师,包括石油/天然气和海洋移动。
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引用次数: 0
A route planning method for small ships in coastal areas based on quadtree 基于四叉树的沿海小型船舶航路规划方法
IF 2.3 3区 工程技术 Q2 ENGINEERING, MARINE Pub Date : 2025-01-01 DOI: 10.1016/j.ijnaoe.2025.100647
Dong-Guen Jeong , Myung-Il Roh , In-Chang Yeo , Ki-Su Kim , Jun-Sik Lee
Route planning for large commercial ships generally revolves around economic factors, such as fuel consumption and travel distance, which are often influenced by maritime weather conditions. In contrast, small ships navigating coastal areas, such as yachts, prioritize safety and navigational convenience. Although extensive research has been conducted on route planning for commercial ships, more studies focusing on small ships are required. This study introduces a novel route planning method for coastal areas tailored to small ships. The proposed method begins by generating quadtree charts derived from an S-57 chart. Considering the lower computational performance typically observed for small ships, a quadtree chart offers a more efficient solution than a traditional regular grid. This structure allows for high-resolution representation only where necessary, considering water depth and coastal obstacles to ensure safe navigation. The route planning process comprises two layers: high-level and low-level. The high-level layer uses lower-resolution charts to outline a general route between the departure and arrival points and to identify key entrances along the way. The low-level layer, which employs higher-resolution charts, generates a detailed route from the departure point to the entrance and from the entrance to the arrival point. The final step involves smoothing to ensure a seamless and navigationally efficient route. Adopting a hierarchical approach can significantly enhance the efficiency of route planning by utilizing a multi-level structure, thereby reducing the time required for route planning. This methodology enables more effective responses in continuous maritime environments, ensuring high efficiency even during real-time route updates and modifications. The proposed method was applied to the coastal areas of the Republic of Korea to assess its effectiveness. In this study, the proposed method was compared with conventional chart generation methods. The results demonstrate that the method provides suitable and safe route planning for small ships, offering a reliable approach for coastal area navigation.
大型商船的航线规划通常围绕着燃油消耗和航行距离等经济因素,而这些因素往往受到海上天气条件的影响。相比之下,在沿海航行的小型船只,如游艇,优先考虑的是安全和航行便利。虽然对商业船舶航线规划进行了广泛的研究,但对小型船舶的航线规划还需要更多的研究。提出了一种适合小型船舶的沿海航线规划新方法。该方法首先从S-57图中生成四叉树图。考虑到小型船舶通常观察到的较低的计算性能,四叉树图提供了比传统规则网格更有效的解决方案。这种结构只在必要时才考虑到水深和海岸障碍,以确保安全航行。路由规划过程包括两层:高层和低层。高层使用低分辨率的图表勾勒出出发点和到达点之间的一般路线,并确定沿途的关键入口。低层采用更高分辨率的图表,生成从出发点到入口和从入口到到达点的详细路线。最后一步涉及平滑,以确保无缝和导航效率的路线。采用分层方法可以利用多层次的结构,大大提高路由规划的效率,从而减少路由规划所需的时间。这种方法可以在连续的海上环境中做出更有效的响应,即使在实时路线更新和修改期间也能确保高效率。提议的方法已应用于大韩民国沿海地区,以评估其有效性。在本研究中,将该方法与传统的图表生成方法进行了比较。结果表明,该方法为小型船舶提供了合适、安全的航路规划,为沿海地区航行提供了可靠的途径。
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引用次数: 0
Research on sound radiation mechanism of rectangular cross-section shell based on noise source identification method 基于噪声源识别方法的矩形截面壳体声辐射机理研究
IF 2.3 3区 工程技术 Q2 ENGINEERING, MARINE Pub Date : 2025-01-01 DOI: 10.1016/j.ijnaoe.2025.100650
Lu Tan , Han Xiao , Xiao-Jun Lv , Zhi-Yong Xie
To reveal the acoustic radiation mechanism of rectangular cross-section shells, a noise source identification method for irregular shells is proposed. This method decouples the fluid-structure interaction vibration by using the method of structural-finite-element coupled with fluid-boundary-element, and obtains the vibration and pressure of the shell. Subsequently, using these results as input, the noise source identification of the shell is accomplished by solving the acoustic radiation mode decomposition problem of non-uniform discrete models. Specifically, by designing a decoupling approach for the fluid-structure interaction vibration, the subsequent acoustic radiation mode decompositions can utilize the same acoustic radiation impedance matrix, thereby enhancing the computational efficiency. Utilizing this method, the main acoustic radiation forms rectangular cross-section shell and their related laws were analyzed, and the general acoustic radiation mechanism of the shell was revealed. This provides essential theoretical and technical support for the precise noise reduction of the rectangular cross-section shell.
为了揭示矩形截面壳体的声辐射机理,提出了一种不规则壳体的噪声源识别方法。该方法采用结构-有限元与流体-边界元耦合的方法对流固耦合振动进行解耦,得到了壳体的振动和压力。随后,以这些结果为输入,通过求解非均匀离散模型的声辐射模态分解问题,实现了壳体噪声源识别。具体而言,通过设计流固耦合振动解耦方法,使得后续声辐射模态分解可以利用相同的声辐射阻抗矩阵,从而提高计算效率。利用该方法分析了矩形截面壳体的主要声辐射形式及其相关规律,揭示了壳体的一般声辐射机理。这为矩形截面壳体的精确降噪提供了必要的理论和技术支持。
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引用次数: 0
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International Journal of Naval Architecture and Ocean Engineering
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