The performance of different turbulence models (URANS, SAS and DES) for predicting high-speed train slipstream

2017162 citationsJournal Article

Authors

Industry, innovation and infrastructure

Published in: Journal of Wind Engineering and Industrial Aerodynamics

Volume 165, pp. 46-57

Field-Weighted Citation Impact: 192.37