When efficiency demands, tight tolerances and decreasing variability in component performance can yield large returns, uncertainty quantification becomes a competitive necessity for reducing costs, improving durability and uptime, and maximizing efficiency across operating ranges. Understanding the sources of variability, variability’s impacts on performance, and the most cost-effective ways to handle this uncertainty are now an integral part of cutting-edge turbomachinery design, manufacturing, and maintenance.
There are several challenges when deploying uncertainty quantification, probabilistic methods, and analytics for turbomachinery: turbomachinery is complex and operates at extreme conditions, yielding high dimensional input spaces and complex variable responses. Combined with the expense of physical tests on components and systems, and the difficulty of building and running high fidelity simulations, traditional methods of analytics and uncertainty quantification are pushed to their limits.
SmartUQ was created to handle challenges in turbine engine analysis that previous tools could not. SmartUQ’s tools use more efficient designs of experiment (DOEs) coupled to breakthrough statistical modeling and machine learning methods to reduce the cost of simulation and testing while maintaining high levels of accuracy. Novel algorithmic advances allow these models and techniques to be employed on larger and more complex problems than ever before. With these tools, it’s now possible to quickly apply uncertainty quantification and analytics to many different scenarios encountered in design, manufacturing, and analysis of turbine engines and other high-performance machinery.
To learn more about UQ in the turbine engine and turbomachinery industries, check out SmartUQ's white papers and webinars.
