Interpret Results of Stress Analysis

The output of a mathematical solver is generally a substantial quantity of raw data. This quantity of raw data would normally be difficult and tedious to interpret without the data sorting and graphical representation traditionally referred to as post-processing. Post-processing is used to create graphical displays that show the distribution of stresses, deformations, and other aspects of the model. Interpretation of these post-processed results is the key to identifying:

• Areas of potential concern as in weak areas in a model.
• Areas of material waste as in areas of the model bearing little or no load.
• Valuable information about other model performance characteristics, such as vibration, that otherwise would not be known until a physical model is built and tested (prototyped).

The results interpretation phase is where the most critical thinking must take place. You compare the results (such as the numbers versus color contours, movements) with what is expected. You determine if the results make sense, and explain the results based on engineering principles. If the results are other than expected, evaluate the analysis conditions and determine what is causing the discrepancy.