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Experimental and Numerical Analyses of the Dynamic Mechanical Properties of Hull Plate-Frame Structures Under Drop Weight Impacted Load

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China ocean engineering 2025年第1期39卷 27-42页

作者： ZONG Shuai LIU Kun LU Yue HUANG Tian-bo LIU He-wei QIU Wei-jian School of Naval Architecture and Ocean Engineering Jiangsu University of Science and TechnologyZhenjiang 212100China School of Naval Architecture and Ocean Engineering Huazhong University of Science and TechnologyWuhan 430074China

Experimental studies were conducted on two high-strength steel plate-frame structures with different truss spacings under various impact velocities to investigate the dynamic mechanical properties of hull plate-frame structures under drop weight *** results showed that decreasing the main beam spacing can effectively increase the structural stiffness,reduce the maximum deformation,and increase the damage ***,to simulate the impact tests accurately,static and dynamic tensile tests at different strain rates were carried out,and the Cowper-Symonds model parameters were fitted via experimental *** material properties obtained from the tensile tests were used as inputs for numerical simulations with the numerical results coincide with the experimental results.A systematic analysis and discussion were conducted on the effects of truss spacing and truss width on the dynamic response of the reinforced plates,and an optimal range for the ratio of truss spacing to truss width was *** addition,a mesh size sensitivity analysis for ship hull plate frame collision simulations was *** applicability of the EPS,MMC,and RTCL failure criteria in the simulation of plate-frame structures was investigated via finite element simulations of falling weight impact *** research findings provide a reference for ship hull structure design and resilience assessment.

关键词： ship collision hull plate-frame structure dynamic mechanical property collision model test numerical simulation

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Dual-phase enhancement strategy for Li_(4)Ti_(5)O_(12)-TiO_(2) and other anodes in Li/Mg ion batteries

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Nano Research 2025年第2期18卷 298-316页

作者： Meijia Song Lefei Li Xiuzhen Wang School of Energy and Power Jiangsu University of Science and TechnologyZhenjiang 212000China School of Naval Architecture and Ocean Engineering Jiangsu University of Science and TechnologyZhenjiang 212000China

The *** for portable and environmentally sustainableenergyfor use in the electronic/electrical equipment,automobile,and so on has resulted in an ever-increasing development in the rechargeable metal-ion-battery *** anode is a crucial component of the battery system,influencing both the cost and overall performance of the *** optimize the electrochemical properties of anode materials,constructing the dual-phase structure has been identified as an effective *** mutual buffering between phases helps alleviate dramatic volume changes,while the abundant interfaces increase active sites and enhance the ion *** this review,the research and development of main anode materials with dual-phase configurations in Li/Mg ion batteries are summarized and *** fabrication methods,regulation strategy,electrochemical performance,as well as enhancement mechanisms of dual-phase Li_(4)Ti_(5)O_(12)-TiO_(2) composites,TiO_(2)-based composites,alloy-type materials,and other types of dual-phase anodes are reviewed and compared in ***,some perspectives about the future progress of dual-phase anode materials for metal-ion batteries are proposed.

关键词： anode materials Li_(4)Ti_(5)O_(12)-TiO_(2)anodes dual-phase configuration progress and development

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Effect of Laser Energy Density on Microstructures and Properties of Additively Manufactured AlCoCrFeNi_(2.1)Eutectic High-Entropy Alloy

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Acta Metallurgica Sinica(English Letters) 2025年第2期38卷 233-244页

作者： Lingxiao Du Hang Ding Yun Xie Li Ji Wanbin Chen Yunze Xu School of Materials Science and Engineering Nanchang Hangkong UniversityNanchang 330063China School of Naval Architecture and Ocean Engineering Dalian University of TechnologyDalian 116024China

In the present study,AlCoCrFeNi_(2.1)eutectic high-entropy alloy(EHEA)has been fabricated by laser melting deposition(LMD).The influence of laser energy density on microstructures,wear resistance and corrosion resistance of the alloy was systematically *** results indicate that the AlCoCrFeNi_(2.1)EHEA exhibited lamellar eutectic microstructures with alternating FCC and BCC *** the increase in laser energy density,the alloy grain size,interlamellar spacing,and volume fraction of the FCC phase increased,while the hardness of the alloy ***,the tribological performance of the alloy deteriorated with increasing laser energy density,and the combined effects of abrasive wear and adhesive wear gradually became *** addition,increasing laser energy density from 18.2 to 25 J/mm^(2)resulted in the increase in corrosion current density of the AlCoCrFeNi_(2.1)EHEA from 6.36×10^(−8) to 3.02×10^(−7) A/cm^(2)and the negative shift of corrosion potential from−211 to−292 mV(SCE).In summary,reducing laser energy density improved the wear and corrosion performance of the additively manufactured AlCoCrFeNi_(2.1)EHEA.

关键词： Additive manufacturing AlCoCrFeNi_(2.1)eutectic high-entropy alloy Wear resistance Corrosion resistance

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Innovative Experiments on Ship Resistance Performance in Managed Ice Floe Fields

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China ocean engineering 2025年第1期39卷 58-72页

作者： LIU Ren-wei LUO Xu-cheng BAI Xiao-long D.A.Semenov ZHANG Jian ZHANGLi-xuan School of Naval Architecture and Ocean Engineering Jiangsu University of Science and TechnologyZhenjiang 212100China Shipbuilding and Aerotechics Department Nizhny Novgorod State Technical UniversityNizhny Novgorod 603950Russia

In this work,the selected icebreaker model experiment is performed in a towing *** focus on the influence of seawater salinity on ship ice resistance in the ice floe field and the innovative ice model and ship model test technology,including the similitude rule of ship model tests,test principles,and validation with full-scale ship data.A formula for calculating the relationship between the temperature and salinity of the water is constructed,which can be used to simulate the role of seawater in freshwater ice *** this basis,the effect of salinity on the resistance of ships sailing in broken ice fields is studied.A technique in which artificial ice made of polyethylene spheres is used to simulate ice resistance is *** a series of ship model experiments in spherical and triangular ice fields,the effects of salinity and velocity on the ice resistance test of the ship model are analyzed.A relationship of the ice resistance of the ship model to the spherical ice field and the triangular ice field is *** conversion results are consistent with onsite data of the full-size ship,which verifies the method of converting the test results of the ship model to the prototype.

关键词： ice resistance ice load ship-ice interaction ship-ice experiment model ice experiment artificial ice

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Design Optimization of AUV Heading Control System Based on Reference Model and TPSO Algorithm

Design Optimization of AUV Heading Control System Based on R...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Lu, Angqi Zhang, Daiyu Zeng, Daxing Bao, Chaoming Liu, Zhenwei School of Naval Architecture and Ocean Engineering Jiangsu University of Science and Technology Zhenjiang212100 China

ISBN: (纸本)9789819639687

To address the heading control problem of Autonomous Underwater Vehicles (AUVs), a PID control parameter optimization method is proposed, which integrates Tabu Search and an improved Particle Swarm Optimization (TPSO) algorithm. Initially, an M-function is employed to construct a simulation model for the AUV. To tackle the issues of overshoot and oscillation caused by step input signals, a reference model is utilized to decompose the input signal for tracking purposes. Subsequently, a PID controller is implemented to regulate the heading angle. Considering the limited local search capability of the Particle Swarm Optimization algorithm during parameter tuning, the Tabu Search algorithm is incorporated into the PSO framework. Simulation experiments demonstrate that the designed control system exhibits excellent performance, achieving rapid and effective control of the heading. This approach holds significant reference value for the underwater motion simulation and application of AUVs. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Particle swarm optimization (PSO)

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Human–Machine Collaborative Health Evaluation for Wind Turbine Gearbox via Versatile Parallel Network and Group Confidence Decision

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IEEE Sensors Journal 2025年第10期25卷 17456-17466页

作者： Jiang, Weixiong Wu, Jun Gao, Zhan Dai, Tianjiao Zhu, Haiping Huazhong University of Science and Technology School of Naval Architecture and Ocean Engineering Wuhan430074 China Huazhong University of Science and Technology School of Mechanical Science and Engineering Wuhan430074 China

The health evaluation of wind turbine gearbox (WTG) is crucial to ensure its operation efficiency and safety. Herein, a novel human-machine collaborative health evaluation framework is proposed based on versatile parallel network (VPN) and group confidence decision (GCD). First, the VPN is established for the gearbox compound fault diagnosis, and the fault probability distribution is derived and translated into the status membership function to quantify the fault statue membership. Then, a group decision-making method named GCD is designed to estimate the impact of different fault types on the gearbox behavior, and it can make a tradeoff among multiple expert perspectives to output optimal estimation results for the fault risk weights. Meanwhile, a health index is defined by the extend ratio system to reflect the overall health condition of WTG. Finally, a WTG compound fault simulation platform is built to validate the method effectiveness, and results indicate that the proposed framework can make full use of plentiful monitoring data and expert perspectives for the precise and comprehensive health evaluation. © 2001-2012 IEEE.

关键词： Risk assessment

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An efficient and accurate numerical method for simulating close-range blast loads of cylindrical charges based on neural network

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Defence technology(防务技术) 2025年第2期44卷 257-271页

作者： Ting Liu Changhai Chen Han Li Yaowen Yu Yuansheng Cheng School of Naval Architecture and Ocean Engineering Huazhong University of Science and TechnologyWuhan 430074China Hubei Key Laboratory of Naval Architecture and Ocean Engineering Hydrodynamics Wuhan 430074China Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration Shanghai 200240China

To address the problems of low accuracy by the CONWEP model and poor efficiency by the Coupled Eulerian-Lagrangian(CEL)method in predicting close-range air blast loads of cylindrical charges,a neural network-based simulation(NNS)method with higher accuracy and better efficiency was *** NNS method consisted of three main ***,the parameters of blast loads,including the peak pressures and impulses of cylindrical charges with different aspect ratios(L/D)at different stand-off distances and incident angles were obtained by two-dimensional numerical ***,incident shape factors of cylindrical charges with arbitrary aspect ratios were predicted by a neural ***,reflected shape factors were derived and implemented into the subroutine of the ABAQUS code to modify the CONWEP model,including modifications of impulse and *** reliability of the proposed NNS method was verified by related experimental *** accuracy improvement was acquired by the proposed NNS method compared with the unmodified CONWEP ***,huge efficiency superiority was obtained by the proposed NNS method compared with the CEL *** proposed NNS method showed good accuracy when the scaled distance was greater than 0.2 m/kg^(1/3).It should be noted that there is no need to generate a new dataset again since the blast loads satisfy the similarity law,and the proposed NNS method can be directly used to simulate the blast loads generated by different cylindrical *** proposed NNS method with high efficiency and accuracy can be used as an effective method to analyze the dynamic response of structures under blast loads,and it has significant application prospects in designing protective structures.

关键词： Close-range air blast load Cylindrical charge Numerical method Neural network CEL method CONWEP model

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Location-Allocation of a Biorefinery Based on Linguistic Mixed Integer Nonlinear Mathematical Modeling

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IEEE Access 2025年 13卷 83373-83393页

作者： Fan, Lei Karimi, Negar Reza Feylizadeh, Mohammad Khorshidnia, Mohsen Li, Yongzheng Jiangsu University of Science and Technology School of Economics and Management Jiangsu Zhenjiang212100 China Isfahan University of Technology Department of Industrial and Systems Engineering Isfahan*** Iran Islamic Azad University Shiraz Branch Department of Industrial Engineering Shiraz*** Iran Islamic Azad University Najafabad Branch Department of Industrial Engineering Najafabad*** Iran Jiangsu University of Science of Technology School of Naval Architecture and Ocean Engineering Jiangsu Zhenjiang212100 China

Significant research is currently being conducted to explore renewable energy sources, such as biomass fuel, in response to recent fluctuations in fossil fuel prices and environmental concerns. However, utilizing biomass energy poses challenges due to the widespread distribution of feedstock and the need to transport multiple low-energy-density materials to conversion facilities. In this investigation, a Linguistics Mixed Integer Nonlinear Programming (LMINLP) approach with Z-number computations was employed to analyze the optimal allocation of locations for a bio-refinery supply chain network. This proposed method significantly impacted the product process, time value for plutocrats, installation investment costs, and transportation network. This research aims to construct an LMINLP model to determine the optimal position of a single installation within a bio-refinery. The primary goal was to make well-informed investment decisions regarding technologies, facilities, capacities, and site selections. A firefly algorithm incorporating a piecewise linearization approach was utilized to solve the model and achieve global optimality. The model’s effectiveness was demonstrated through numerical examples, including those from the ethanol industry. © 2013 IEEE.

关键词： Mixed-integer linear programming

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Detailed Analysis of Friction in Water-Lubricated Bearings under Boundary Lubrication: Model Development and Experimental Validation

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Journal of Tribology 2025年第10期147卷 104101页

作者： Yang, Chaozhen Liu, Xueshen Huang, Zhangkai Wang, Ting Chen, Meixia School of Naval Architecture and Ocean Engineering Huazhong University of Science and Technology Wuhan HUBEI430063 China School of Mechanical Engineering Zhengzhou University of Aeronautics Zhengzhou HENAN430063 China

A novel friction model for water-lubricated bearings under boundary lubrication conditions is proposed. The effects of speed, load, surface roughness, and material properties on the friction coefficient are examined. The model is validated through experimental tests using nitrile-butadiene rubber (NBR) and ultrahigh molecular weight polyethylene (UHMWPE) materials, demonstrating reliability and applicability. The impact of varying speed and load on lubrication regimes is analyzed, with a focus on the behavior of micro-convex contact friction under boundary lubrication conditions. Based on the verified friction model, the influence of surface roughness and texture direction on bearing performance is also explored, offering actionable insights for optimizing bearing design. This model provides critical insights for enhancing friction management and noise reduction in water-lubricated bearings, offering valuable guidance for their design and manufacturing. Copyright © 2025 by ASME.

关键词： Tribology

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Research on Underwater Target Attitude Estimation Model Based on Multilayer Neural Networks

Research on Underwater Target Attitude Estimation Model Base...

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2025 IEEE Underwater technology, UT 2025

作者： Yang, Jikai Huazhong University Of Science And Technology School of Naval Architecture and Ocean Engineering Wuhan China

ISBN: (纸本)9798331534189

In marine operations and equipment deployment, the attitude measurement of underwater targets is a critical factor in ensuring precision and stability. However, traditional methods are constrained by limitations in real-time performance and adaptability in complex ocean environments, failing to meet the demands for high accuracy. To address these challenges, this study proposes a deep learning model based on multilayer neural networks for classifying and predicting the angles of underwater target attitudes. MATLAB simulations were used to generate sonar echo data for rigid ellipsoid targets, extracting frequency response features under varying aspect ratios and attitude angles to construct a high-quality training dataset. The model architecture comprises an input layer, multiple hidden layers, and classification and regression output layers, enabling simultaneous classification of aspect ratios and prediction of attitude angles. During training, the model's performance was optimized by adjusting hyperparameters such as the number of layers, neurons per layer, activation functions, and learning rates, significantly enhancing prediction accuracy and efficiency. Experimental results demonstrate that the model achieves 100% accuracy in classification tasks and minimal error in regression tasks, reflecting excellent generalization and robustness. This research provides an efficient and reliable technical solution for underwater target monitoring and attitude estimation in complex marine environments, laying a solid foundation for further studies in related fields. © 2025 IEEE.

关键词： MATLAB

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