Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : October 18, 2024 - October 20, 2024
This study investigates global sensitivity analysis methods on mathematical models in terms of a tradeoff between computational cost and accuracy. Sobol’ method based on Polynomial Chaos Expansion (PCE-Sobol’), Morris method, and variance analysis with orthogonal tables are applied to a mathematical model of an experimental facility for a space propulsion system. It was found that variance analysis with an orthogonal table is the most efficient for identifying the most sensitive factor with fewer evaluations. Conversely, the PCE-Sobol’ and Morris methods are more suitable for screening sensitive factors with hundreds of evaluations.
