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Achieving Fine-grained CAE-CAE Associativity via Analyzable Product Model (APM)-based Idealizations

Reference

RS Peak (April 6, 2005) Achieving Fine-grained CAE-CAE Associativity via Analyzable Product Model (APM)-based Idealizations. Invited Presentation. Developing a Design/Simulation Framework - a Workshop, Atlanta.

Abstract

This presentation overviews a simulation template methodology based on the analyzable product model (APM) knowledge representation. APMs combine design information from multiple sources, add idealization knowledge, and bridge semantic gaps to enable advanced CAD-CAE interoperability.

To understand why generalized design-simulation integration is a challenging proposition, we first review concepts like heterogeneous transformations and multi-fidelity idealizations via industrial examples.

Next we describe how an APM is a key component in the multi-representation architecture (MRA) simulation template methodology. In brief, MRA-based templates connect APMs with analysis models in a manner that is reusable, modular, and multi-directional. This approach supports multiple levels of abstraction and enhances physical behavior modeling and knowledge capture for a wide variety of design models, analysis models, and engineering computing environments.

Finally, we walk through several design-analysis scenarios including airframe structural analysis and electronics thermal and deformation analysis. Such examples demonstrate how the MRA supports a diversity of physical behaviors, analysis fidelities, and CAD/CAE methods and tools in a unified manner. This holistic approach leverages rich product models and open standards (e.g., STEP AP210 for electronics and AP233/SysML for systems of systems) and provides a foundation for next-generation design/simulation frameworks.

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Presentation:

Related Material
Georgia Tech design-analysis integration (DAI) research