![]() ![]() The quality of the response surface fit depends strongly on the underlying information. ![]() With discrete data samples you can train the fitting function. They can readily be created on every Design Study as by-product. Surrogate Methods have been introduced to Simcenter STAR-CCM+. To quantify the performance, we compare cross validate of Surrogate Models which were created on the samples. In the following we will discuss the options to set up a random sampled Manual Study and compare this with a DOE Study. But can you set up DOE if you don´t have access to the additional license option? The DOE is available with the Intelligent Design Exploration add-on. The Design Manager in Simcenter STAR-CCM+ comes with the DOE study type which allows you to use different statistical methods for generating near random samples. You can also assess the sensitivities of the input parameters and their interaction with each other. DOEs are for instance often used for local exploration around a particular optimized design to identify the parameters that have the greatest impact on the performance. The variation can be randomized, but is often more efficient with systematic sampling.
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