Design of Experiments, Calibration, and Machine Learning for Gas Turbine Simulations
Gas turbines, whether used for jet engine or power generation applications, operate in complex, high-stakes environments, where performance, reliability, and efficiency are paramount. Simulation plays a critical role in the design, analysis and operation of gas turbines by enabling engineers to evaluate performance, durability, and efficiency before committing to costly physical tests and prototyping. However, simulations of fluid dynamics, combustion, heat transfer, and structural behavior in gas turbines can be computationally expensive. Therefore, getting the most out of simulation for gas turbine applications requires efficient use of the available simulation budget. It is also important to validate that simulations produce results that agree with reality.
This webinar will discuss the role design of experiments, predictive machine learning models, and machine learning tools such as statistical calibration can play in calibrating simulations for gas turbine applications to physical data, validating their accuracy, and maximizing the knowledge gained from their use.
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will introduce the use of SmartUQ for gas turbine applications. The unique strengths and capabilities of SmartUQ’s tools will be highlighted along with a software demonstration and examples from customer use cases. SmartUQ’s ability to integrate with tools such as ANSYS Fluent, ABAQUS, and STAR-CCM+ will also be discussed.

Presented by Gavin Jones, Principal Application Engineer
Gavin Jones serves as a Principal Application Engineer at SmartUQ, where he is responsible for performing simulation and AI work for clients in the automotive, aerospace, defense, semiconductor, and other industries. He is a member of the SAE Chassis Committee as well as the AIAA Digital Engineering Integration Committee. Gavin is also a key contributor in SmartUQ’s Digital Twin/Digital Thread initiative.