Simulation research on the influence of special ships on waterway through capacity for a complex waterway system: a case study for the Port of Meizhou Bay

SIMULATION ◽  
2019 ◽  
Vol 96 (4) ◽  
pp. 387-402 ◽  
Author(s):  
Jianping Shang ◽  
Wenyuan Wang ◽  
Yun Peng ◽  
Qi Tian ◽  
Ying Tang ◽  
...  

The study of waterway through capacity for ports is a challenging problem due to the randomness and complexity of the waterway system, which needs to be analyzed by simulation technology. This paper quantitatively studies the influence of special ships on waterway through capacity and provides corresponding measures to improve waterway through capacity. The complex waterway system in the Port of Meizhou Bay is employed as a case study. Considering the actual conditions in the Port of Meizhou Bay, including the ships, berths, waterways, and natural conditions, a Simio-based simulation model is established. The real operation data from the Port of Meizhou Bay in 2015 are used to verify the correctness and effectiveness of the model. The simulation results show that special ships reduce the waterway through capacity by 4.9% and suggest that circumnavigation strategies that can be adopted after the extension and new construction of waterway systems can improve the waterway through capacity by 5.9%.

Author(s):  
Henk Elffers ◽  
Pieter Van Baal

This chapter considers whether it is worthwhile and useful to enrich agent based spatial simulation studies in criminology with a real geographical background, such as the map of a real city? Using modern GIS tools, such an enterprise is in principle quite feasible, but we argue that in many cases this course is not only not producing more interesting results, but in fact may well be detrimental for the real reason of doing criminal simulation studies, which is understanding the underlying rules. The argument is first outlined in general, and then illustrated in the context of a given example of the ThESE perceptual deterrence simulation model (Van Baal, 2004), a model that actually is using a simple checkerboard as its spatial backcloth.


2012 ◽  
Vol 229-231 ◽  
pp. 1684-1687
Author(s):  
Jun Zhu ◽  
Feng Yuan ◽  
Hong Xia Wu

The working principle and process of the hydraulic support column system is introduced at first. The simulation model of the column system is established in the software of AMESim, and the parameters of the model are set according to the actual working conditions. The simulation curves of each working procedure are obtained, and the simulation results are analyzed. The conclusions will be essential references for the research on the entire support hydraulic system.


2011 ◽  
Vol 383-390 ◽  
pp. 2121-2125
Author(s):  
Ren Li ◽  
Wen Xiao Zhang ◽  
Hua Yan Li

Aiming at the complexity of mechanical devices and the polytrope of operating conditions for marine propulsion plant, the modeling and simulation of propeller and dull system are investigated based on MATLAB/Simulink. The simulation model of propeller and dull system is constructed in which the Chebyshev fit expression across four quadrants is given for the propeller. So it becomes practical to express static and dynamic properties of propeller and dull system. A luxury cruises fitted on two engines and two fixed pitch propellers is considered to perform simulation tests. The actual navigation conditions of marine propulsion plant, including starting, parking and reversing etc, are taken into account. The simulation results analysis illustrates the correctness and validity of modeling and simulation for propeller and dull system. Thus provides a new method for the optimization and design of marine propulsion plant.


2010 ◽  
Vol 145 ◽  
pp. 20-25
Author(s):  
Min Dong ◽  
Guo You Li ◽  
Ling Feng Li

Aiming at the control of the secondary regulation speed control system, A new-type of fuzzy neural networks is used in the parameters setting of PID controller, which is helpful to overcome the uncertainty, nonlinearity and time-variability of the system. By establishing the mathematic model of the system, Simulation research are carried out. Simulation results indicate that the fuzzy neural networks model improves the dynamic response of the system.


2014 ◽  
Vol 1021 ◽  
pp. 181-185
Author(s):  
Bing Shen ◽  
Hong Zhi Zhang ◽  
Xin Yi Jiang ◽  
Guo Shun Xu

In order to ensure the safe operation of the ship in the medium-voltage grid, transformer protection is particularly important. Using Matlab/Simulink, this paper established transformer and its differential protection simulation model of the medium-voltage ship. To achieve differential protection function, this paper uses the M-file to program the differential protection S-function. The simulation results indicate that the differential protection models can achieve their protection functions and have better quick-acting and stability.


2011 ◽  
Vol 110-116 ◽  
pp. 5131-5135
Author(s):  
Gao Feng Wei ◽  
Feng Tian ◽  
Cheng Tao Wang

Modeling and simulating of human musculoskeletal system is an important and challenging problem. This paper is aimed to build a computational platform to conquer this problem based on the China digital human project. First the 3D anatomical models of human musculoskeletal system were reconstructed and integrated. Second, the finite element models of human skeleton system were built. In the end, a computational platform, which integrated the models and six related analysis modules, was developed to model and simulate human musculoskeletal system. A case study of subject’s gait was implemented to demonstrate that this computational platform had potential in research of human musculoskeletal biomechanics.


2013 ◽  
Vol 562-565 ◽  
pp. 465-470 ◽  
Author(s):  
Xiao Feng Zhao ◽  
Lei Li ◽  
Ping Wang ◽  
Dian Zhong Wen ◽  
Gang Li

According to the experimental results of the long-base silicon magnetic sensitive diode, this paper adopted ATLAS software to establish the two dimensional simulation model in order to research the negative resistance characteristics of the long-base silicon magnetic sensitive diode. Deep impurities were introduced into the long base to study the effect of the concentration and the distribution of deep impurities on the current-voltage characteristics of the long-base silicon magnetic sensitive diode. The simulation results showed that the deep impurity in the long base was the main factor that impacted on the negative resistance characteristics of the long-base silicon magnetic sensitive diode.


2008 ◽  
Vol 1 (1) ◽  
pp. 317-322
Author(s):  
Damiano Capogrosso ◽  
Costanza Pazé ◽  
Francesco Sciacca ◽  
Massimo Ambrosino
Keyword(s):  
The Real ◽  

2013 ◽  
Vol 740 ◽  
pp. 27-38 ◽  
Author(s):  
Thembelani Sithebe

Most research has been concentrating on getting input from and simulating specific assembly processes. The most advanced simulation research is based on data driven methods. The rest of simulation articles are case study based. This work envisages establishing a generic simulation process, which will be based on the generic algorithm and generic assumptions to be used to simulate an automated assembly process. The simulation model is based on proposed configuration and operational information. It is used to verify that the proposed system will meet required production rates and, to predict the relative performance of alternative configurations. It can be used for what-if analysis to investigate different operation scenarios and optimize production systems. Validation of the result was done through the use of different scenarios. It is only by using the model to answer specific questions about ways of changing the system that realizable improvements are identified.


Sign in / Sign up

Export Citation Format

Share Document