Robust Design
Typical structural analysis does not factor in the design and operating environment variations that occur commonly, and can cause deviations in expected product performance. Consideration of these deviations may become critical depending on the application.
In cases where designs are optimized such that the design requirements are barely met, it is important for engineers to asses the design’s reliability and if necessary optimize considering the reliability requirement. A reliable design ensures that the design is safe even after deviations in its performance due to variations in the design and operating environment.
In cases where variations in design and operating environment result in the design performance deviation greater than the allowable deviation, it is critical for engineers to search for a robust design. A robust design is one in which the performance deviation is within allowable limits.
HyperStudy’s advanced optimization and stochastic capabilities help users to assess design reliability using sampling methods and achieve reliable and robust designs using enhanced Sequential Optimization and Reliability Analyses (SORA). Reliability and robustness assessment and optimization are computationally demanding studies. Both the sampling methods and SORA method, have been made efficient in HyperStudy using Altair’s proprietary sampling and optimization algorithms.