In order to determine a computational model’s accuracy, validation is required. With physical testing results, we can calibrate and validate our models in order to improve confidence with future solutions.
Although analytical modeling is an extremely powerful engineering tool, it is still only an approximation of reality and can suffer from the use of engineering assumptions. To improve confidence with our analysis we can use results from a physical test to calibrate and validate our model.
Our analysis model validation and calibration services include
- Designing a test to obtain data that can validate our analysis and be used for calibration.
- Comparing computational results to physical test results to validate our analysis.
- Calibration of our model to improve the accuracy of other results generated by the model.
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