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Title: Managing equivalent representations of design and analysis models
Author: Tiemey, Christopher Michael
ISNI:       0000 0004 5371 3311
Awarding Body: Queen's University Belfast
Current Institution: Queen's University Belfast
Date of Award: 2014
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There is a requirement for better Integration between design and analysis tools, which is difficult due to their different objectives, separate data representations and workflows. Currently, substantial effort is required to produce a suitable analysis model from design geometry. Robust links are required between different analysis representations to enable analysis attributes to be transferred between distinct design and analysis packages for models at various levels of fidelity. This thesis describes a novel approach for Integrating design and analysis models by identifying and managing the relationships between the different representations. Three key technologies named Cellular Modelling, Virtual Topology and Equivalencing, have been employed to achieve effective simulation model management. Cellular representations are utilised to represent various decompositions of the design space based upon analysis requirements. Virtual Topology and Equivalencing are techniques utilised in this work for managing the relationships between various analysis representations where equivalent regions of space are linked to one another. These relationships can be exploited to automatically regenerate analysis models after updates and to transfer analysis attributes between equivalent analysis models. Prototype automated tools are introduced to demonstrate how multiple simulation models can be linked and maintained to achieve seamless Integration throughout the design cycle. These tools have been generated to interact with a number of distinct CAE packages to enable analysts to select their preferred tool for different analyses. It is shown how the prototype tools developed using the concepts in this thesis offer significant advantages for transferring analysis attributes between equivalent model representations in comparison to existing approaches.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available