Incorporating real-world data into virtual validation: Strategies for integrating real-world data

As computer-aided engineering (CAE) simulations become more complex and demanding, incorporating real-world data into virtual validation has become essential. Real-world data can provide valuable insights into the behavior of a system or component under various operating conditions, which can enhance the accuracy and realism of CAE simulations. In this blog post, we will discuss strategies for integrating real-world data into CAE simulations. *image created from Bing image creator

1. Data Acquisition: The first step in incorporating real-world data into CAE simulations is to acquire the necessary data. This can be done through various means, including physical testing, sensors, and monitoring systems. Physical testing involves subjecting a component or system to a variety of operating conditions and recording the data generated. Sensors and monitoring systems can provide real-time data during operation.

2. Data Processing: Once the data has been acquired, it needs to be processed to make it suitable for use in CAE simulations. This involves converting the raw data into a usable format, such as a time history or frequency response. The data may also need to be filtered, averaged, or otherwise processed to remove noise or unwanted artifacts.

3. Model Development: With the processed data in hand, the next step is to develop a CAE model that incorporates the real-world data. This can be done using a variety of modeling techniques, such as finite element analysis (FEA) or computational fluid dynamics (CFD). The model should be calibrated to the real-world data to ensure accuracy and reliability.

4. Model Validation: Once the CAE model has been developed, it needs to be validated against real-world data to ensure that it accurately represents the behavior of the system or component. This can be done by comparing the results of the CAE simulation to the data acquired through physical testing or monitoring systems.

5. Model Improvement: If discrepancies are found between the CAE simulation and the real-world data, the model can be improved by adjusting the input parameters or modifying the model itself. This iterative process can continue until the CAE simulation accurately represents the real-world behavior of the system or component.

In conclusion, incorporating real-world data into CAE simulations is essential for enhancing accuracy and realism. By following the strategies outlined above, CAE professionals can develop reliable and accurate models that accurately represent the behavior of complex systems and components. The use of real-world data can also reduce the need for physical testing, which can save time and money in the product development process.