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 given test to calibrate and validate our model.
Our analysis model validation and calibration services include
- 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.
Contact us today to learn more or for a free quote!