Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University

Submission Deadline ( Vol 49 , Issue 04 )

11 Jan 2023
Day
Hour
Min
Sec

Publish On ( Vol 64 , Issue 02 )

08 Dec 2023
Scopus Indexed (2024) scope

Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University

Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University (ISSN:1006-7736) is a monthly peer-reviewed scopus indexed journal originally from 2007 to Present. The publisher of the journal is Editorial Office of Journal of Dalian Maritime University.The journal welcomes all kind of research/review/abstract papers regarding Engineering subjects.

AIM AND SCOPE

Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University

1. Agricultural Science/Agricultural Engineering

2. Electrical Engineering and Telecommunication Section
Electrical Engineering, Telecommunication Engineering, Electro-mechanical System Engineering, Biological Biosystem Engineering, Integrated Engineering, Electronic Engineering, Hardware-software co-design and interfacing, Semiconductor chip, Peripheral equipments, Nanotechnology, Advanced control theories and applications, Machine design and optimization , Turbines micro-turbines, FACTS devices , Insulation systems , Power quality , High voltage engineering, Electrical actuators , Energy optimization , Electric drives , Electrical machines, HVDC transmission, Power electronics.
3. Computer Science Section
Software Engineering, Data Security , Computer Vision , Image Processing, Cryptography, Computer Networking, Database system and Management, Data mining, Big Data, Robotics , Parallel and distributed processing , Artificial Intelligence , Natural language processing , Neural Networking, Distributed Systems , Fuzzy logic, Advance programming, Machine learning, Internet & the Web, Information Technology , Computer architecture, Virtual vision and virtual simulations, Operating systems, Cryptosystems and data compression, Security and privacy, Algorithms, Sensors and ad-hoc networks, Graph theory, Pattern/image recognition, Neural networks.
4. Civil and Architectural Engineering Section
Architectural Drawing, Architectural Style, Architectural Theory, Biomechanics, Building Materials, Coastal Engineering, Construction Engineering, Control Engineering, Earthquake Engineering, Environmental Engineering, Geotechnical Engineering, Materials Engineering, Municipal Or Urban Engineering, Organic Architecture, Sociology of Architecture, Structural Engineering, Surveying, Transportation Engineering.
5. Mechanical and Materials Engineering Section
kinematics and dynamics of rigid bodies, theory of machines and mechanisms, vibration and balancing of machine parts, stability of mechanical systems, mechanics of continuum, strength of materials, fatigue of materials, hydromechanics, aerodynamics, thermodynamics, heat transfer, thermo fluids, nanofluids, energy systems, renewable and alternative energy, engine, fuels, nanomaterial, material synthesis and characterization, principles of the micro-macro transition, elastic behavior, plastic behavior, high-temperature creep, fatigue, fracture, metals, polymers, ceramics, intermetallics.
6. Chemical Engineering Section
Chemical engineering fundamentals, Physical, Theoretical and Computational Chemistry, Chemical engineering educational challenges and development, Chemical reaction engineering, Chemical engineering equipment design and process design, Thermodynamics, Catalysis & reaction engineering, Particulate systems, Rheology, Multifase flows, Interfacial & colloidal phenomena, Transport phenomena in porous/granular media, Membranes and membrane science, Crystallization, distillation, absorption and extraction, Ionic liquids/electrolyte solutions.
7. Food Engineering Section
Food science, Food engineering, Food microbiology, Food packaging, Food preservation, Food technology, Aseptic processing, Food fortification, Food rheology, Dietary supplement, Food safety, Food chemistry.
8. Physics Section
Astrophysics, Atomic and molecular physics, Biophysics, Chemical physics, Civil engineering, Cluster physics, Computational physics, Condensed matter, Cosmology, Device physics, Fluid dynamics, Geophysics, High energy particle physics, Laser, Mechanical engineering, Medical physics, Nanotechnology, Nonlinear science, Nuclear physics, Optics, Photonics, Plasma and fluid physics, Quantum physics, Robotics, Soft matter and polymers.
9. Mathematics Section
Actuarial science, Algebra, Algebraic geometry, Analysis and advanced calculus, Approximation theory, Boundry layer theory, Calculus of variations, Combinatorics, Complex analysis, Continuum mechanics, Cryptography, Demography, Differential equations, Differential geometry, Dynamical systems, Econometrics, Fluid mechanics, Functional analysis, Game theory, General topology, Geometry, Graph theory, Group theory, Industrial mathematics, Information theory, Integral transforms and integral equations, Lie algebras, Logic, Magnetohydrodynamics, Mathematical analysis.
ALL PUBLISH JOURNAL HERE

Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University

JDMU-11-01-2024-40162
Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University
Parameter adaptive virtual DC generator control strategy for DC microgrid

In DC microgrid, the sudden change of load power will cause the bus voltage to fluctuate greatly, which will lead to system instability in serious cases. Aiming at this problem, a parameter adaptive control strategy of virtual DC motor based on differential compensation is proposed, taking energy storage parallel converter as the research object. The proposed strategy feeds back the output voltage deviation of the energy storage converter to the differential compensation coefficient, so that the compensation coefficient can adjust the compensation coefficient in real time following the load

JDMU-11-01-2024-40161
Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University
An augmentation method of defect detection dataset based on M-DCGAN

Aiming at the insufficient surface defect dataset in intelligent manufacturing, an augmentation method based on M-DCGAN (Mask Deep Convolution Generative Adversarial Networks) is proposed. First, the U-Net-like structure is built by adding an upsampling module on the discriminator and increasing the discriminator's and generator's network depth; a binarization mask extraction method of defect position is designed based on Canny edge detection. Then, a defect target position attention guidance mechanism is established by defining the loss function dependent on the image mask; the spe

JDMU-11-01-2024-40160
Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University
Current status and trends of ship navigation risk assessment in the Arctic

This paper reviewed systematically the evolution of research topics in the field of Arctic navigation safety, and summarized the application scenarios, supporting decision making, model methods, risk factors, and data sources of risk assessment. The results show that the Arctic navigation risk assessment is an important means to improve navigation safety, which mainly supports decisions on three levels: strategic level, operational level, and execution level. At present, there is still insufficient research on the frequent mechanical failures, marine pollution, propulsion system failure and

JDMU-11-01-2024-40159
Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University
Hydrodynamic mechanism of marine rudder considering the influence of aspect ratio

In order to explore the hydrodynamic mechanism of marine rudders under the influence of different aspect ratios, the viscous CFD technology is adopted to simulate the hydrodynamic performance of marine rudders with different aspect ratios at different rudder angles. Firstly, the grid independence analysis is carried out, and the accuracy of the numerical simulation method is verified based on the experimental results. Then the hydrodynamic mechanism of the rudder is explained according to the surface pressure distribution, velocity flow field distribution and wake vortex shape of the rudder

JDMU-11-01-2024-40158
Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University
Development and key technologies of fatigue analysis software for ship shafting in ice regions

Affected by the global warming and the melting of Arctic glaciers, the number of ships sailing on polar/ice routes is increasing. The fatigue analysis of propulsion shafting under the excitation of ice load has become a hot technical issue in the design/reconstruction of ships in ice areas. The fatigue analysis and calculation model of ship propulsion shafting under the action of ice load is established, and the method of determining the maximum peak torque of the full speed shaft section ice load, the design of S-N curve and the determination of the linear damage system are proposed. The f

JDMU-11-01-2024-40157
Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University
Berthing plan of bulk cargo terminal considering phased and balanced utilization of loading and unloading equipment

Unbalanced use of mechanical equipment such as ship unloaders and belt conveyors in bulk cargo terminals brings about high energy consumption and labor costs. Considering the influence of ship unloaders and belt conveyors operation on ship berthing plan, based on the research on the periodic equilibrium mechanism and modeling of the unloading equipment of the bulk cargo terminal, mixed integer programming models were established to minimize the total service cost and service time of ships in the planning period. Models were solved by CPLEX. The example results show the berthing position, be

JDMU-11-01-2024-40156
Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University
Online parameter identification of unmanned vehicle response model based on weighted forgetting multiple innovation RLS

In order to achieve accurate online modeling of the unmanned surface vehicle maneuvering motion, a new weighted strategy has been designed. This strategy can adjust the weight of the corresponding data in the parameter recursion in real-time according to the difference between the data. The proposed algorithm is validated based on experimental data from a water-jet-propelled unmanned surface vehicle. The bow angle data is predicted using the model obtained from the improved algorithm, its square root error can be reduced by about 6 °, and the maximum decision coefficient can reach 0.992