RANS Turbulence Model Optimisation based on Surrogate Management Framework

摘要

In this study, the accuracy of k-w turbulence model was improved for hydrodynamics predictions of underwater vehicles. The closure coefficients were optimised by applying an algorithm called Surrogate Management Framework [1, 2] and comparing with the experimental data of SUBOFF submarine model. The outcome revealed the sensitivity of RANS accuracy with respect to various closure coefficients, and highlighted the improvements achieved from using the optimised coefficients.