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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Bao, Chaoming Ren, Kang Guo, Fei Zhang, Daiyu Li, Jiyang School of Naval Architecture and Ocean Engineering Jiangsu University of Science and Technology Jiangsu Zhenjiang212003 China 2633 Zuchongzhi Road Pudong Shanghai201203 China

ISBN: (纸本)9789819639724

The study of the effect of free surface on the propulsion efficiency enhancement in fish body motion and its significance in biomimetic fish design is of great importance. This research establishes a numerical model of fish-shaped bodies and their oscillating tail models based on the NACA0012 airfoil. The motion of the fish body is controlled using field functions and dynamic mesh technology, and numerical analyses of the propulsion efficiency of the oscillating fish body under a free surface are conducted using the commercial software STAR-CCM. The study analyzes the impact of free surface distance on propulsion efficiency and reveals the structural distribution characteristics of the flow field under the influence of the free surface. The results indicate that oscillatory propulsion near the free surface can effectively reduce drag, with the drag decreasing as the free surface distance gets closer, although it is also influenced by the motion posture. When the fish body is very close to the free surface, the reactive effects of the free surface cause irregular variations in propulsion efficiency;however, the overall motion characteristics are still maintained. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Drag

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An Improved Whale Optimization Algorithm for Global Optimization and Realized Volatility Prediction

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Computers, Materials & Continua 2023年第12期77卷 2935-2969页

作者： Xiang Wang Liangsa Wang Han Li Yibin Guo School of Civil Engineering and Architecture Zhengzhou University of AeronauticsZhengzhou450015China School of Civil and Architectural Engineering Jiangsu University of Science and TechnologyZhenjiang212003China

The original whale optimization algorithm(WOA)has a low initial population quality and tends to converge to local optimal *** address these challenges,this paper introduces an improved whale optimization algorithm called OLCHWOA,incorporating a chaos mechanism and an opposition-based learning *** algorithm introduces chaotic initialization and opposition-based initialization operators during the population initialization phase,thereby enhancing the quality of the initial whale ***,including an elite opposition-based learning operator significantly improves the algorithm’s global search capabilities during *** work and contributions of this paper are primarily reflected in two ***,an improved whale algorithm with enhanced development capabilities and a wide range of application scenarios is ***,the proposed OLCHWOA is used to optimize the hyperparameters of the Long Short-Term Memory(LSTM)***,a prediction model for Realized Volatility(RV)based on OLCHWOA-LSTM is proposed to optimize hyperparameters *** evaluate the performance of OLCHWOA,a series of comparative experiments were conducted using a variety of advanced *** experiments included 38 standard test functions from CEC2013 and CEC2019 and three constrained engineering design *** experimental results show that OLCHWOA ranks first in accuracy and stability under the same maximum fitness function calls ***,the China Securities Index 300(CSI 300)dataset is used to evaluate the effectiveness of the proposed OLCHWOA-LSTM model in predicting *** comparison results with the other eight models show that the proposed model has the highest accuracy and goodness of fit in predicting *** further confirms that OLCHWOA effectively addresses real-world optimization problems.

关键词： Whale optimization algorithm chaos mechanism opposition-based learning long short-term memory realized volatility

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Prediction of building HVAC energy consumption based on least squares support vector machines

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Energy Informatics 2024年第1期7卷 1-16页

作者： Wan, Xin Cai, Xiaoling Dai, Lele School of Architecture and Environmental Engineering Wuxi City College of Vocational Technology Wuxi Jiangsu214153 China School of Energy and Power Engineering Nanjing University of Science and Technology Nanjing210094 China

Air conditioning, as an essential appliance in daily life, has the function of ensuring comfortable room temperature, but it is also accompanied by a large amount of power consumption. Consequently, the study suggests an energy consumption prediction model based on improved genetic algorithm—least squares support vector machine—to accurately predict the energy consumption of building heating, ventilation, and air conditioning. This model uses the improved genetic algorithm for regularization parameter and kernel parameter optimization to prevent overfitting and underfitting issues. According to the testing results, the least squares support vector machine, an upgraded genetic algorithm, may accomplish convergence faster than other algorithms, taking only 0.2 milliseconds to finish. In addition, the average relative error of the improved genetic algorithm- least squares support vector machine did not exceed 0.6%. In the energy consumption prediction for the whole year of 2022, the average error of the improved genetic algorithm-least squares support vector machine was only 2.0 × 106 kWh, and the prediction accuracy could reach up to 97.2%. The above outcomes revealed that the energy consumption prediction model can accurately predict the air conditioning energy consumption, which provides a strong support for the control and optimization of the air conditioning system. © The Author(s) 2024.

关键词： Prediction models

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Influence of an Adding Damping Device in a Moonpool on the Heave Motion of a Drilling Ship Part I:Experiment

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China Ocean engineering 2025年第2期39卷 191-208页

作者： WEI Qi GU Jia-yang LIU Wei-min LYU Hong-guan TAO Yan-wu HU Fang-xin School of Naval Architecture and Marine Engineering Jiangsu University of Science and TechnologyZhenjiang 212003China Marine Equipment and Technology Institute Jiangsu University of Science and TechnologyZhenjiang 212003China School of Ocean Engineering and Technology Sun Yat-Sen UniversityZhuhai 519082China

On the basis of the model tests,this paper explores the coupled hydrodynamic performance of the moonpool and the *** study aims to compare and analyze the variation in the hull heave response between the piston resonance state of the moonpool under wave excitation and the non-resonance state of the moonpool under wave-current excitation.A novel damping device specifically designed and fabricated for stepped moonpools has been *** and after the installation of the damping device,the free surface response characteristics of the moonpool and heave motion response characteristics of the hull are *** findings show a clear correlation between the current speed and heave response characteristics of the *** the seakeeping design phase of the drilling vessel,the current speed is an additional critical factor that cannot be disregarded,alongside the moonpool effect.A correlation exists between the fluid dynamics occurring within the moonpool and the heave motion of the vessel hull.A reduction in the amplitude of the motion of the moonpool water results in a decrease in the heave motion of the *** study provides a reference for alleviating the seakeeping of a drill ship’s heave response and enhancing the safety and efficiency of the operation.

关键词： heave motion damping device moonpool model test wave-current excitation

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Structurally coupled characteristics of rotor blade geometrically exact formulation

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Chinese Journal of Aeronautics 2022年第6期35卷 186-197页

作者： Jie WU Yijiang MA Zhidong WANG Zhihao YU School of Naval Architecture & Ocean Engineering Jiangsu University of Science and TechnologyZhenjiang 212100China College of Aerospace Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China

In rotor dynamics,blades are normally modelled as a slender beam,in which elastic deformations are coupled with each *** identify these coupling effects,new rigid-flexible structural model for helicopter rotor system is proposed in this *** rotations of the whole blade(on flapwise,lagwise,and torsional)are described as three global rigid degrees of *** nonlinear deformation geometrics of the beam is built on geometrically exact beam *** expressions for blade strain energy,kinetic energy,and virtual work of various kinds of external forces are derived as functions of finite rotations and elastic *** quantify the coupling characteristics,following the definition of coupling factor in electromagnetics,a new coupling factor between two modal components on each mode is introduced in modal *** show that the new structural model is highly capable of solving static and dynamic problems in rotor system and the maximum deformation that moderate deformation beam theory can predict might be 15%of beam *** the new coupling factor is applied to study structurally coupled characteristics of rotor blade,it can be concluded that closeness of natural frequencies likely indicates considerable coupling between corresponding DOFs in structure.

关键词： Computational geometry Flexible couplings Helicopter rotors Modal analysis Structural dynamics

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Extreme Responses of An Integrated System with A Semi-Submersible Wind Turbine and Four Torus-Shaped Wave Energy Converters in Different Survival Modes

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China Ocean engineering 2024年第5期38卷 877-892页

作者： WANG Kai LI Yu-meng ONG Muk Chen WAN Ling LI Liang-bi CHENG Zhengshun School of Ocean Engineering and Technology Sun Yat-sen University&Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)Zhuhai 519082China School of Naval Architecture and Ocean Engineering Jiangsu University of Science and TechnologyZhenjiang 212100China Department of Mechanical and Structural Engineering and Materials Science University of StavangerStavanger 4036Norway Faculty of Maritime and Transportation Ningbo UniversityNingbo 315211China State Key Laboratory of Ocean Engineering Shanghai Jiao Tong UniversityShanghai 200240China SJTU Yazhou Bay Institute of Deepsea Science and Technology Sanya 572024China

Offshore wind power is a kind of important clean renewable energy and has attracted increasing attention due to the rapid consumption of non-renewable *** reduce the high cost of energy,a possible try is to utilize the combination of wind and wave energy considering their natural correlation.A combined concept consisting of a semi-submersible wind turbine and four torus-shaped wave energy converters was proposed and numerically studied under normal operating ***,the dynamic behavior of the integrated system under extreme sea conditions has not been studied *** the present work,extreme responses of the integrated system under two different survival modes are *** coupled time-domain simulations with consideration of interactions between the semi-submersible wind turbine and the torus-shaped wave energy converters are performed to investigate dynamic responses of the integrated system,including mooring tensions,tower bending moments,end stop forces,and contact forces at the Column-Torus *** is found that the addition of four tori will reduce the mean motions of the yaw,pitch and *** the tori are locked at the still water line,the whole integrated system is more suitable for the survival modes.

关键词： combined wind and wave energy concept wave energy converter survival mode extreme response

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Study on the Characteristics of A New Hybrid Mooring System for DualPlatform Joint Operations

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China Ocean engineering 2023年第3期37卷 506-518页

作者： SHEN Zhong-xiang YUAN Zhao-jun LI Hong-bin ZHU Chen-yang School of Naval Architecture and Ocean Engineering Jiangsu University of Science and TechnologyZhenjiang 212100China College of Harbor Coastal and Offshore EngineeringHohai UniversityNanjing 210098China Nantong COSCO KHI Ship Engineering Co.Ltd Nantong 226005China

As the sustainable exploitation of marine resources develops,dual-platform joint operation has caught increasing ***-platform joint operation requires smaller relative motion between the two sub-platforms,which is normally difficult to be satisfied by the traditional mooring ***,a new hybrid mooring system is developed and studied in this *** ensure safety during platform movements,both the number of anchor chains and the relative motion between the two sub-platforms are reduced in the new hybrid mooring *** performing numerical simulations based on three-dimensional potential flow theory in AQWA and physical experiments,the performances of both the new hybrid and traditional mooring systems under two different wave conditions(i.e.,working wave and freak wave conditions) are systematically *** the new hybrid mooring system,the relative stability between the two sub-platforms of the new system is better,and the platforms can restore stability faster when affected by freak waves.

关键词： dual-platform joint operation platform relative stability hybrid mooring system freak wave

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Recovery Control of USV Based on DRL and LADRC under Environmental Disturbances 7

Recovery Control of USV Based on DRL and LADRC under Environ...

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7th International Conference on Intelligent Robotics and Control engineering, IRCE 2024

作者： Li, Zihao Shi, Yuling Xie, Wenhao Cheng, Zhiqiang Tang, Guoyuan Huazhong University of Science and Technology School of Naval Architecture and Ocean Engineering Wuhan China

ISBN: (纸本)9798350352399

A novel control approach merging deep reinforcement learning (DRL) and linear active disturbance rejection control (LADRC) is proposed to improve the recovery success rate of underactuated unmanned surface vehicles (USVs) under environmental disturbances. Firstly, the USV's three degree-of-freedom model and models of environmental disturbances are established. Aiming at recovery guidance for underactuated USVs, an improved line-of-sight (LOS) guidance law is adopted to calculate the desired heading angle and surge speed. Then, LADRC is used to stabilize the tracking errors of heading angle and surge speed, with the twin delayed deep deterministic policy gradient (TD3) algorithm adjusting its parameters in real time. Simulation results validate that the proposed approach is efficient in the recovery control of the USV and superior to conventional LADRC, even in the presence of complex environmental disturbances. © 2024 IEEE.

关键词： Deep reinforcement learning

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Ensemble Attention Bidirectional Recurrent Neural Network-based RUL Prediction Under Variable Working Condition 6

Ensemble Attention Bidirectional Recurrent Neural Network-ba...

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6th International Conference on System Reliability and Safety engineering, SRSE 2024

作者： Zhang, Heng Wang, Chengjie Wu, Jun Huazhong University of Science and Technology School of Naval Architecture and Ocean Engineering Wuhan China

ISBN: (纸本)9798350356083

Predicting the remaining useful life (RUL) of mechanical equipment under variable operating conditions poses a significant challenge in prognostics. Existing methods often focus solely on monitoring data from the equipment itself, neglecting crucial operating condition data. This limitation leads to reduced prediction accuracy in fluctuating operating conditions. To address this gap, this paper proposes an Ensemble Attention Bidirectional Recurrent Neural Network (EABRNN). The EABRNN model processes multi-sensor monitoring and operational context data separately. It leverages parallel bidirectional Long Short-Term Memory (Bi-LSTM) and bidirectional Gated Recurrent Unit (Bi-GRU) architectures to extract comprehensive features. Furthermore, it integrates Temporal Pattern Attention to enhance remaining useful life prediction accuracy, particularly in variable aircraft engine operating conditions. By combining data integration and advanced model architecture, the EABRNN aims to improve the robustness and accuracy of RUL predictions in practical scenarios. © 2024 IEEE.

关键词： Long short-term memory

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Predicting Underwater Acoustic Scatterings by Elastic Targets Using Overlapping Elements with Harmonic Functions

Predicting Underwater Acoustic Scatterings by Elastic Target...

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2024 OES China Ocean Acoustics, COA 2024

作者： Li, Wei Gui, Qiang Chai, Yingbin School of Naval Architecture and Ocean Engineering Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9798350340297

The traditional low-order finite element model is often used to obtain the acoustic scattering field of underwater vehicles for predicting their acoustic stealth performance. However, the traditional finite element method is affected by the numerical pollution effect and requires a very dense mesh to obtain reliable numerical solutions for the analysis of medium- and high-frequency problems, which increases the mesh division cost. In this study, the overlapping finite element method (OFEM) and Dirichlet-to-Neumann (DtN) mapping technique were combined to construct a coupled numerical model for the acoustic scattering of underwater elastomers. Moreover, the original polynomial approximation space of the OFEM was enriched using a harmonic trigonometric function to obtain an EOFEM for acoustic scattering problems. A numerical example shows that the EOFEM model proposed in this paper can significantly reduce numerical errors and exhibits broad application potential in the analysis of acoustic scattering problems of underwater elastic objects. © 2024 IEEE.

关键词： Mesh generation

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