Software Architecture For Simulation Research Articles

Distributed virtual simulation experimental software for high-power electric traction system of 600 km/h high-speed maglev train

The operational speed of high-speed maglev trains has reached a groundbreaking 600 km/h, facilitating faster intercity transportation. However, the design and verification of corresponding high-power electric traction systems face significant challenges. To address these issues, this study develops a distributed virtual simulation experimental software for the high-power electric traction system of a 600 km/h high-speed maglev train. The software first establishes virtual digital models for the high-speed maglev train, the high-speed maglev guideways, and the high-power electric traction converters to simulate the high-speed maglev line operation scenarios. Next, it constructs a client–server simulation software architecture, designs a human–machine interaction platform and an electric traction mathematical module, and devises an information exchange method to enable real-time tracking and display for the operating conditions of high-power electric traction systems. Lastly, by integrating electric traction control strategies, fault analysis and optimization design modules, the software effectively designs and verifies the optimal electric traction systems of high-speed maglev trains, and promptly identifies the potential faults in long stator linear synchronous motors and high-power electric traction converters within the electric traction systems. Engineering applications demonstrate that the software can significantly enhance the design and virtual simulation efficiency for the high-power electric traction systems of high-speed maglev trains, thus meeting critical engineering application needs.

국방 시스템의 요구 성능 분석을 위한 역 방향 시뮬레이션 소프트웨어 아키텍처

This paper focuses on reverse simulation methods to find and analyze the required performance of a defense system under a given combat effectiveness. Our approach is motivated that forward simulation, that traditionally employs the effectiveness analysis of performance alternatives, is not suitable for resolving the above issue because it causes a high computational cost due to repeating simulations of all possible alternatives. To this end, the paper proposes a reverse simulation software architecture, which consists of several functional sub-modules that facilitate two types of reverse simulations according to possibility of inverse model design. The proposed architecture also enable to apply various search algorithms to find required operational capability efficiently. With this architecture, we performed two case studies about underwater and anti-air warfare scenarios. The case studies show that the proposed reverse simulation incurs a smaller computational cost, while finding the same level of performance alternatives compared with traditional forward simulation. Finally we expect that this study provides a guide those who desire to make decisions about new defense systems development.

Simulation Design: Trans-Paradigm Best-Practice from Software Engineering

There are growing initiatives to apply software engineering (SE) best-practice to computational science, which includes simulation. One area where the simulation literature appears to be particularly light is in the overall structural design of simulations, and what architectures and features are valuable for what reasons. (Part of the problem is that parts of this knowledge are abstracted away in simulation toolkits which are often not easily comparable, and have different conceptual aims.) To address this, I outline three key software properties which embody SE best-practices, and then define an 'idealised' software architecture for simulation—what SE would call a reference architecture—which strongly exhibits them. I show that this is universal to all simulations (largely because modelling-paradigm-specific detail is encapsulated into a 'single black box' layer of functionality) but that simulation toolkits tend to differ in how they map to them; this relates to the aims of the toolkits, which I provide a useful categorisation of. I show that, interestingly, there are several core features of this architecture that are not fully represented in any simulation toolkit that I am aware of. I present a library—JSIT—which provides some proof-of-concept implementations of them for Java-based toolkits. This library, and other ideas in the reference architecture, are put into practice on a published, multi-paradigm model of health and social care which uses the AnyLogic toolkit. I conclude with some thoughts on why this area receives so little focus, how to take it forwards, and some of the related cultural issues.

A trick to improve the efficiency of generating unweighted [formula omitted] events from BCVEGPY

In the present paper, we provide an addendum to improve the efficiency of generating unweighted events within PYTHIA environment for the generator BCVEGPY2.1 [C.H. Chang, J.X. Wang and X.G. Wu, Comput.Phys.Commun.{\bf 174}, 241(2006)]. This trick is helpful for experimental simulation. Moreover, the BCVEGPY output has also been improved, i.e. one Les Houches Event common block has been added so as to generate a standard Les Houches Event file that contains the information of the generated $B_c$ meson and the accompanying partons, which can be more conveniently used for further simulation.

Research of Simulation Software Architecture Optimization Used with Components Based on Reach-Ability Matrix

For the sake of meeting the requirement of simulation applying and simulation surroundings changing, Simulation Software Architecture (SSA) always use the means of Software Reuse. Along with the expand of component stock, the size and the architecture of SSA become more and more complex. How to optimize the architecture becomes the problem when we exploit software. This text creates the concept model of SSA architecture, using reach-ability matrix, defining the concept of Component Contribution Degree (CCD) and Component Reliant Degree (CRD), provides the measure of quantitative analysis the architecture. In particular, this text gives the rule of optimize when we add or delete or coalition etc, it’s a fine strategy of developing software and optimize architecture.

Design of Modeling and Online Simulation for Energy Systems in Papermaking Mill

This paper presents a general framework of modelling and online simulation for papermaking mill's energy systems. The energy flow models of thermal power plant, DIP and paper machine for a papermaking mill was designed and implemented an online simulation. The traditional offline, closed and scattered modelling and simulation methods were changed into online, open and integrated forms. Through the analysis of energy systems of papermaking mills, the framework has implemented the followings. The unit (equipment) models were established, it can analyse the energy of energy flow material. The corresponding material flow models library was developed. The craftwork models were designed and the energy flow models library was developed of thermal power plant, DIP and paper machine. The mathematical models of unit (equipment), energy flow, exergy flow, thermal power plant, DIP and paper machine were built. The material properties database was developed. General simulation software architecture and online simulation software architecture were designed. The framework implemented online simulation, analysis, diagnosis and optimization for energy systems of whole papermaking mill. The practical application results are fine when the framework was applied in Guangzhou Paper Group Co., Ltd., and Gold East Paper (Jiangsu) Co., Ltd. The practical application results indicate that the emulation, simulation, analysis, diagnosis and optimization of material flow and energy flow for papermaking mill whole production process can be implemented by online simulation, and the purposes of maximizing the utility efficiency of material and energy resource, reducing resource, reusing and recycling can be achieved.

Reference Frame Management and its Application to Reducing Numerical Error in Simulation

This paper examines novel methods for the definition and management of reference frames in simulation software architectures. Reference frames are critical to aerospace dynamic models: they define the motion parameters of the vehicles and can affect model fidelity and numerical error within the simulation. This paper documents how reference frames can be defined as unique entities within the simulation software architecture, and how they can be centrally managed to create a shared simulation environment. The reference frame manager provides a central mechanism for transformations between reference frames and for selection of reference frames during runtime to meet fidelity requirements. The reference frame manager can also introduce intermediate frames that reduce numerical error by several orders of magnitude at very small time steps. This result can ensure a large degree of numerical accuracy in long-duration simulation runs, expanding the potential use of computer-based simulation in the aerospace industry. Nomenclature

Reusing a Simulation Facility Software Architecture for Embedded Simulation

The authors take a ground vehicle simulation software architecture, which was designed for stationary simulation in crewstations in a laboratory environment, and reuse it to add embedded simulation capabilities to fielded ground vehicles. The purpose of embedded simulation is to enhance soldier effectiveness both before and during actual battlefield conditions. As a result, in a fielded ground vehicle, the computer specialist responsible for setting up, starting, controlling, monitoring, and stopping the simulation is not present. Unlike in a laboratory environment, in a fielded vehicle, the simulation software itself is responsible for performing these functions. The authors provide a case study illustrating characteristics of a system architecture that allow it to be long-lived by evolving not only to changing requirements due to technological and methodological changes but also to changes due to new and previously unthought-of patterns of system utilization.