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Model Robustness and Sensitivity Analysis |
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Model Robustness and Sensitivity Analysis |
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Consider the following:
| • | Results need not match exactly, which allows for variance. |
| • | SW (algorithm, for example) and HyperWorks variations (processors, RAM, for example). |
| • | Include sensitivity by checking model robustness. |
| • | Qualify a model as a reference model for further studies. |
| • | Define a sensitivity corridor. |
| • | Parameters to use: Random Nodal Noise. |
| • | Changes in physical parameters in sensitivity studies. |
| • | Collect sensitivity details so results remain in the sensitivity range/corridor. |
| • | Customer specific validation criteria (engineering criteria for validation). |
| • | Include the physics of the problem. |
Check if the model can be considered a reference model for further study. Random noise/sensitivity analysis can be a base run with different seed values. Compare across RADIOSS versions using the sensitivity corridor.
Create and compare (m x n number of solver runs across different options):
| • | Sensitivity corridor. |
| • | Response curves (time vs. response). |
| • | Statistical details. |
