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Development of Simulation Technologies and Researches of Modeling Theory for Power Plant in China
Lü Chongde,Fan Yongsheng,Cai Ruizhong
Strategic Study of CAE 1999, Volume 1, Issue 1, Pages 99-103
In this paper the development of simulation technologies and modeling theory of the fossil power generating unit in China is discussed and analysed. Authors described developing process of the fossil power simulators from scientific researches to achieving the most quantity in the world. While the information of electric power simulators distributed over the world is given. The key technologies——modeling theory and method of the thermal system simulation are summarized. Authors expounded the lumped parameter model, distributed parameter model, dynamic revised model of high precision lumped parameter and other model. These model equations are applied various simulated objects and different simulation precision.
Keywords： system simulation modeling electric power
The Military Large-scale Complex System's Modeling and Simulation Based on Agent
Li Honggang,Lü Hui,Liu Xingtang
Strategic Study of CAE 2004, Volume 6, Issue 8, Pages 40-44
First of all this paper introduces the composition and the principle of agent and makes thorough analysis of modeling process of military large-scale complex system, then presents the modeling and simulating result of the military large-scale complex system, and makes an analysis of the simulating result.
Keywords： complex system agent modeling and simulation
Fuzzy Modeling Theory on Production Scheduling： A Survey
Zhang Hong,Li qiqiang,Guo qingqiang,Zhang Peng,Gao Yuan
Strategic Study of CAE 2005, Volume 7, Issue 12, Pages 92-102
A brief survey on classical modeling theory of production scheduling is presented in this paper. With the combination of fuzzy mathematical theory and classical modeling or intelligent methods, a brief survey on fuzzy modeling theory is also presented. Some perspective viewpoints are pointed out in the last section of the paper.
Keywords： production scheduling fuzzy mathematics fuzzy modeling
Fu Qiang
Strategic Study of CAE 2002, Volume 4, Issue 6, Pages 44-55
The author applies covertly and macroscopically the SPAC theory model to the water saving system of well irrigation rice in Sanjiang Plain. Several sub-systems have been taken as a whole large system, such as groundwater, machine well, sunning water pool, channel, field, environment and so on. Through applying modern building models and optimization technique, the author analyzes the mechanism and theory of each subsystem, some mathematical models about groundwater, sunning water pool, channel, water production function, water requirement and available rainfall have been built. At last, through designing the typical demonstration area, the author combines several water-saving techniques into a whole system. Thus, the goal of raising water temperature 5～15℃ , saving water 17.1% and increasing yield 700 ～1 000 kg/hm2 canbe reached.
Keywords： building models optimization Sanjiang Plain well irrigation rice system
Study on modeling and emulation of VENSIMfor ordering system in steel enterprises
Zou Anquan,Yu Qi,Qin Zhongchi,Yang Fang,Dai Enyong
Strategic Study of CAE 2009, Volume 11, Issue 2, Pages 60-64
Ordering models are essential for most corporations , which are used to arrange the industrial production by the marketing situation . In the most supply chain enterprises , production is organized according to its sale , the ordering model of enterprises is especially important . In the case of retail ordering in steel enterprises , system dynamics is used to analyze the model of retail ordering system , and simulation analysis is aimed at its realism , then the retail ordering tactic in steel enterprises is proposed .
Keywords： ordering model modeling and simulation steel enterprise
Upstream Operations in the Oil Industry: Rigorous Modeling of an Electrostatic Coalescer
Francesco Rossi, Simone Colombo, Sauro Pierucci, Eliseo Ranzi, Flavio Manenti
Engineering 2017, Volume 3, Issue 2, Pages 220-231 doi: 10.1016/J.ENG.2017.02.013
This paper deals with a first-principle mathematical model that describes the electrostatic coalescer units devoted to the separation of water from oil in water-in-oil emulsions, which are typical of the upstream operations in oil fields. The main phenomena governing the behavior of the electrostatic coalescer are described, starting from fundamental laws. In addition, the gradual coalescence of the emulsion droplets is considered in the mathematical modeling in a dynamic fashion, as the phenomenon is identified as a key step in the overall yield of the unit operation. The resulting differential system with boundary conditions is then integrated via performing numerical libraries, and the simulation results confirm the available literature and the industrial data. A sensitivity analysis is provided with respect to the main parameters. The mathematical model results in a flexible tool that is useful for the purposes of design, unit behavior prediction, performance monitoring, and optimization.
Keywords： Upstream operations Electrostatic coalescer Desalter Rigorous modeling Water-oil emulsion
Hybrid Data-Driven and Mechanistic Modeling Approaches for Multiscale Material and Process Design Perspective
Teng Zhou, Rafiqul Gani, Kai Sundmacher
Engineering 2021, Volume 7, Issue 9, Pages 1231-1238 doi: 10.1016/j.eng.2020.12.022
The world’s increasing population requires the process industry to produce food, fuels, chemicals, and consumer products in a more efficient and sustainable way. Functional process materials lie at the heart of this challenge. Traditionally, new advanced materials are found empirically or through trial-and-error approaches. As theoretical methods and associated tools are being continuously improved and computer power has reached a high level, it is now efficient and popular to use computational methods to guide material selection and design. Due to the strong interaction between material selection and the operation of the process in which the material is used, it is essential to perform material and process design simultaneously. Despite this significant connection, the solution of the integrated material and process design problem is not easy because multiple models at different scales are usually required. Hybrid modeling provides a promising option to tackle such complex design problems. In hybrid modeling, the material properties, which are computationally expensive to obtain, are described by data-driven models, while the well-known process-related principles are represented by mechanistic models. This article highlights the significance of hybrid modeling in multiscale material and process design. The generic design methodology is first introduced. Six important application areas are then selected: four from the chemical engineering field and two from the energy systems engineering domain. For each selected area, state-ofthe- art work using hybrid modeling for multiscale material and process design is discussed. Concluding remarks are provided at the end, and current limitations and future opportunities are pointed out.
Keywords： Data-driven Surrogate model Machine learning Hybrid modeling Material design Process optimization
Study on modeling and simulation analysis for tailless configured V/STOL
Fan Yong,Zhu Jihong,Meng Xianyu,Liu Kai,Yang Xili
Strategic Study of CAE 2011, Volume 13, Issue 3, Pages 107-112
The mathematical model was studied by mechanical analysis and CFD (computing fluid dynamics) computation. Besides, an intelligent adaptive based control law was proposed and the optimization approach is employed to solve the constrained control allocation problem. The results show good closed loop performance and validate the intelligent optimization approach of constrained control allocation for flight control.
Keywords： tailless configured aerial vehicle V/STOL dynamic modeling flight control
Modeling technology digital geologic stratum body in the proportion of pinch in 3D GIS
Dong Zhi
Strategic Study of CAE 2010, Volume 12, Issue 2, Pages 76-82
Geological prospecting data into three-dimensional system and various three-dimensional modeling methods were used to reason and connect the formation of stratum automatically to generate three-dimensional model of formation. The modeling methods can easily liberate geological workers in the field of water conservancy and hydropower from the heavy geological information access and geological interpretation of the manual labor, thus enhance the speed of three-dimensional stratum modeling and also the quality of construction.
Keywords： three-dimensional digital geologic model virtual borehole multi-proportion of pinch automatical modeling decomposition of triangular itself
Modeling and Experimental Validation of the Electron Beam Selective Melting Process
Wentao Yan, Ya Qian, Weixin Ma, Bin Zhou, Yongxing Shen, Feng Lin
Engineering 2017, Volume 3, Issue 5, Pages 701-707 doi: 10.1016/J.ENG.2017.05.021
Electron beam selective melting (EBSM) is a promising additive manufacturing (AM) technology. The EBSM process consists of three major procedures: ① spreading a powder layer, ② preheating to slightly sinter the powder, and ③ selectively melting the powder bed. The highly transient multi-physics phenomena involved in these procedures pose a significant challenge for in situ experimental observation and measurement. To advance the understanding of the physical mechanisms in each procedure, we leverage high-fidelity modeling and post-process experiments. The models resemble the actual fabrication procedures, including ① a powder-spreading model using the discrete element method (DEM), ② a phase field (PF) model of powder sintering (solid-state sintering), and ③ a powder-melting (liquid-state sintering) model using the finite volume method (FVM). Comprehensive insights into all the major procedures are provided, which have rarely been reported. Preliminary simulation results (including powder particle packing within the powder bed, sintering neck formation between particles, and single-track defects) agree qualitatively with experiments, demonstrating the ability to understand the mechanisms and to guide the design and optimization of the experimental setup and manufacturing process.
Keywords： Modeling Electron beam Additive manufacturing Powder scale
Dynamicmodeling of awave glider Article
Chun-lin ZHOU, Bo-xing WANG, Hong-xiang ZHOU, Jing-lan LI, Rong XIONG
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9, Pages 1295-1304 doi: 10.1631/FITEE.1700294
Keywords： Wave-propelled vehicle Dynamic modeling Sea surface vehicle Wave glider
Steel Design by Advanced Analysis: Material Modeling and Strain Limits Research Article
Leroy Gardner, Xiang Yun, Andreas Fieber, Lorenzo Macorini
Engineering 2019, Volume 5, Issue 2, Pages 243-249 doi: 10.1016/j.eng.2018.11.026
Structural analysis of steel frames is typically performed using beam elements. Since these elements are unable to explicitly capture the local buckling behavior of steel cross-sections, traditional steel design specifications use the concept of cross-section classification to determine the extent to which the strength and deformation capacity of a cross-section are affected by local buckling. The use of plastic design methods are restricted to Class 1 cross-sections, which possess sufficient rotation capacity for plastic hinges to develop and a collapse mechanism to form. Local buckling prevents the development of plastic hinges with such rotation capacity for cross-sections of higher classes and, unless computationally demanding shell elements are used, elastic analysis is required. However, this article demonstrates that local buckling can be mimicked effectively in beam elements by incorporating the continuous strength method (CSM) strain limits into the analysis. Furthermore, by performing an advanced analysis that accounts for both geometric and material nonlinearities, no additional design checks are required. The positive influence of the strain hardening observed in stocky cross-sections can also be harnessed, provided a suitably accurate stress–strain relationship is adopted; a quad-linear material model for hot-rolled steels is described for this purpose. The CSM strain limits allow cross-sections of all slenderness to be analyzed in a consistent advanced analysis framework and to benefit from the appropriate level of load redistribution. The proposed approach is applied herein to individual members, continuous beams, and frames, and is shown to bring significant benefits in terms of accuracy and consistency over current steel design specifications.
Keywords： Advanced analysis Continuous strength method Local buckling Material modeling Strain limits
A review of computer graphics approaches to urban modeling from a machine learning perspective Review Article
Tian Feng, Feiyi Fan, Tomasz Bednarz,t.feng@latrobe.edu.au
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 7, Pages 915-925 doi: 10.1631/FITEE.2000141
Keywords： 城市建模；计算机图形学；机器学习；深度学习
Crowd modeling based on purposiveness and a destination-driven analysis method Research Articles
Ning Ding, Weimin Qi, Huihuan Qian,hhqian@cuhk.edu.cn
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 10, Pages 1351-1369 doi: 10.1631/FITEE.2000312
Keywords： 人群建模；智能视频监控；人群稳定性
A framework for an integrated unified modeling language
Mohammad ALSHAYEB,Nasser KHASHAN,Sajjad MAHMOOD
Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 2, Pages 143-159 doi: 10.1631/FITEE.1500094
The unified modeling language (UML) is one of the most commonly used modeling languages in the software industry.It simplifies the complex process of design by providing a set of graphical notations, which helps express the objectoriented analysis and design of software projects. Although UML is applicable to different types of systems, domains, methods,and processes, it cannot express certain problem domain needs. Therefore, many extensions to UML have been proposed. In this paper, we propose a framework for integrating the UML extensions and then use the framework to propose an integrated unified modeling language-graphical (iUML-g) form. iUML-g integrates the existing UML extensions into one integrated form. This includes an integrated diagram for UML class, sequence, and use case diagrams. The proposed approach is evaluated using a case study. The proposed iUML-g is capable of modeling systems that use different domains.
Keywords： Unified modeling language (UML) Integration Modeling System analysis and design
Title Author Date Type Operation
Development of Simulation Technologies and Researches of Modeling Theory for Power Plant in China
Lü Chongde,Fan Yongsheng,Cai Ruizhong
Journal Article
The Military Large-scale Complex System's Modeling and Simulation Based on Agent
Li Honggang,Lü Hui,Liu Xingtang
Journal Article
Fuzzy Modeling Theory on Production Scheduling： A Survey
Zhang Hong,Li qiqiang,Guo qingqiang,Zhang Peng,Gao Yuan
Journal Article
Study on the Modern Building Models & Optimum Technique——Application of Water Saving System for Well Irrigation Rice in Sanjiang Plain
Fu Qiang
Journal Article
Study on modeling and emulation of VENSIMfor ordering system in steel enterprises
Zou Anquan,Yu Qi,Qin Zhongchi,Yang Fang,Dai Enyong
Journal Article
Upstream Operations in the Oil Industry: Rigorous Modeling of an Electrostatic Coalescer
Francesco Rossi, Simone Colombo, Sauro Pierucci, Eliseo Ranzi, Flavio Manenti
Journal Article
Hybrid Data-Driven and Mechanistic Modeling Approaches for Multiscale Material and Process Design
Teng Zhou, Rafiqul Gani, Kai Sundmacher
Journal Article
Study on modeling and simulation analysis for tailless configured V/STOL
Fan Yong,Zhu Jihong,Meng Xianyu,Liu Kai,Yang Xili
Journal Article
Modeling technology digital geologic stratum body in the proportion of pinch in 3D GIS
Dong Zhi
Journal Article
Modeling and Experimental Validation of the Electron Beam Selective Melting Process
Wentao Yan, Ya Qian, Weixin Ma, Bin Zhou, Yongxing Shen, Feng Lin
Journal Article
Dynamicmodeling of awave glider
Chun-lin ZHOU, Bo-xing WANG, Hong-xiang ZHOU, Jing-lan LI, Rong XIONG
Journal Article
Steel Design by Advanced Analysis: Material Modeling and Strain Limits
Leroy Gardner, Xiang Yun, Andreas Fieber, Lorenzo Macorini
Journal Article
A review of computer graphics approaches to urban modeling from a machine learning perspective
Tian Feng, Feiyi Fan, Tomasz Bednarz,t.feng@latrobe.edu.au
Journal Article
Crowd modeling based on purposiveness and a destination-driven analysis method
Ning Ding, Weimin Qi, Huihuan Qian,hhqian@cuhk.edu.cn
Journal Article
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