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TRAINS – Railway Vehicle and TRACK System Integration

TRAINS – Railway Vehicle and TRACK System Integration. the MANCHESTER METROPOLITAN UNIVERSITY.

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TRAINS – Railway Vehicle and TRACK System Integration

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  1. TRAINS – Railway Vehicle and TRACK System Integration the MANCHESTER METROPOLITAN UNIVERSITY System Models to Assess the Impact of ChangeThe IEE Railway System Modelling – Not Just for Fun SeminarThursday 30th September 2004Clive RobertsLecturer in Railway SystemsUniversity of Birminghamc.roberts.20@bham.ac.ukwww.eee.bham.ac.uk/robertc

  2. Background • Rail Vehicle and Track System Integration Project is funded through the EPSRC Systems Integration Initiative • A 3-year collaborative industry/academia research project (ending January 2005) • Research split between University of Birmingham and Manchester Metropolitan University • Multi-disciplinary team: Civil Engineers, Vehicle Dynamicists, Software Engineers, Metallurgists, Electrical Engineers

  3. Project Motivation • Many problems span several engineering disciplines and can only be effectively tackled by understanding the system as a whole • Systems engineering together with conceptual systems modelling allows problems to be investigated more effectively • In particular the rail industry needs a means of investigating the effects of changes on the whole system, not just within individual subsystems or components

  4. Systems Engineering Process

  5. Project Work Packages • Requirements Elicitation – to understand what is required • System Modelling – to map the relationships and interconnections between components • Compositional Modelling – to build new models from model fragments and infer knowledge • TOOLS Database – to provide details of existing task specific tools and the links between them • Decision Support System

  6. Requirements Elicitation • Initial part of the Systems Engineering process • Decomposition of the problem in order to further understanding • Identify stakeholder and system level requirements • Requirements modelling • Understanding existing practices (cost modelling, wear modelling....)

  7. Scenarios • Physical System Relationships

  8. Scenarios • Model Identification (identification) • To provide the user with models/tools that may aid with a particular problem

  9. Scenarios • Model Identification (data flow) • To provide a series of models/tools which when joined together may solve a particular problem

  10. Scenarios • Document Database • To provide the user with information relating to all aspects of a particular component / process

  11. Scenarios • Expert Identification • Provide details of experts in a particular field

  12. System Modelling • Forms the foundations of the decision support system knowledge base • Hierarchical relationship model to show simple interactions between physical components (elements) • Model elicited from domain experts • Provides a means of communicating about the domain under consideration

  13. System Modelling

  14. System Modelling

  15. Compositional Model • The core of the decision support system engine • Builds on the simple foundation of the hierarchical system relationship model • Captures the systemic knowledge in an organised way • System knowledge is represented in logical sets • Software algorithms are linked to model fragments in order to compose a scenario model for a given scenario

  16. Compositional Model

  17. Compositional Modelling Terminology • Decision Variables - elements that change the model depending on the decision that is made by the user • Physical Properties- properties that relate to the physical arrangement of the model element • Dependent Variables - elements that are only relevant when some interaction occurs in the relationship. They can form limiting parameters for behaviour i.e. if X>Y then Z.

  18. TRAINS – Railway Vehicle and TRACK System Integration the MANCHESTER METROPOLITAN UNIVERSITY TOOLS Database Tools used in the Railway System Substructure Vehicle Management Infrastructure W – R Interaction Rail V - I Interaction Wheel Environment

  19. TRAINS – Railway Vehicle and TRACK System Integration the MANCHESTER METROPOLITAN UNIVERSITY VAMPIRE Introduction Description Comments Inputs Outputs Contact VAMPIRE : Vehicle Dynamics Simulation Package

  20. Tools Database - Agreed Case Studies Traction power/traction control on RCF – c2 the MANCHESTER METROPOLITAN UNIVERSITY Traction Data Vehicle data Route data Tractive Effort & Speed ABAQUS ADAMS Vehicle parameters, Track description ANSYS GENSYS HyperMesh Track Forces NUCARS I-DEAS SIMPACK Pro/MECHANICA Medina VAMPIRE nCode Fatigue Analysis Materials data Tools Inputs/Outputs Inputs/Outputs Rail Plan RCF

  21. Tools Database - Agreed Case Studies Traction power/traction control on RCF – c3 the MANCHESTER METROPOLITAN UNIVERSITY Traction Data Vehicle data Route data Tractive Effort & Speed ADAMS Vehicle parameters, Track description REFRAIL GENSYS NUCARS Track Forces Chalmers SIMPACK WLRM VAMPIRE Tools Inputs/Outputs Inputs/Outputs Rail Plan RCF

  22. Decision Support System • A decision support system to aid railway stakeholders to make decisions regarding system changes is being developed • At the core of the DSS sits a hierarchical system relationship model which is used to compose models for a given scenario • The user interface will be able to answer questions such as: • What affect does x have on y • What affect does changing x have ......

  23. Decision Support System

  24. Conclusions and Further Work • The project aims to generate a reasoned framework based on Systems Engineering Models and Principles to help railway engineers identify the affects of changes on the railway systems • A prototype decision support system is being developed incorporating system modelling, composition modelling and the tools database • Further work will be undertaken in a follow-on project to build economics into the models

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