Submodeling: Simple Solutions for Large-Scale Problems

If you’re an engineer who has dealt with large simulation models, you know there’s often a trade-off between accuracy and solution time. Submodeling is a technique you can use to reduce solution time without sacrificing accuracy of results.

A common strategy you can use to look at the overall behavior of an assembly or complex part of a large model is to simplify the model during preparation by removing small details, like fillets and holes. Simplifying models in this way can have a significant impact on run times. This simplification, while not excessively affecting overall model stiffness, may result in lower resolution of localized stresses. What you need, then, is a mechanism that allows you to “zoom in” on these details to examine behavior around specific areas.

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The Big Problem – How to Solve Increasingly Larger Models

We see a clear trend toward the need to solve increasingly larger models. There are many reasons for this trend. You are dealing with more detailed CAD models of always larger assemblies. You want more accurate results. The automated meshing procedure can generate larger meshes with ease. And obviously, every desktop machine has more CPU power than ever, and companies have invested in computing clusters.

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