Learn how to efficiently correlate your model by leveraging simulation and test. Get further insights into the behaviour of your model accounting for unknowns. Discover how to efficiently run a multiple-parameter optimization. Model correlation and updating is an essential step in the digital twin process. It is a verification of the fidelity of the virtual models upon which further optimization may be performed. In this workshop, we will show the pre-test and correlation steps discussing common sources of error and the different ways to improve the accuracy of your model. A correlated model is the base for further analysis and design exploration. In the second part of this workshop, we will demonstrate how to run a multi-parameter optimization in an efficient way.
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