Results

Documents the results for optimization and uncertainty minimization of the trial FFCM-2.

We distinguish between model validation and model test. Validation refers to comparing against experimental data in which the model prediction uncertainty is given; whereas test means only a nomial prediction is compared to the data. Validations are made against the set of experimental data from which the target values are extracted. Tests are made for a wider range of combustion data not considered in the target set.

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Table of contents

• Summary Results
• Model Validation
• Additional Model Tests
• Active Parameters
• Inconsistent Targets
• Covariance Matrix

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