This paper addresses the challenges associated with quickly computing far-field radiated noise originating from the bogie zone of high-speed trains.Initially,an assumption was given that countless dipole sound sources are distributed on the train surface,re-flecting the predominant nature of dipole sound sources in the aerodynamic noise of high-speed trains.This assumption led to the estab-lishment of an identification method,which was then used to identify sound sources in the bogie zone,with the support of Computational Fluid Dynamics(CFD).Through this identification process,the main dipole aerodynamic sources were found to be located near the walls of 11 components within the bogie zone,including cow catchers and front wheels.Subsequently,computational methods were estab-lished to determine the sound source intensity and far-field noise respectively for these components.The simulation results at three differ-ent speeds were utilized to establish a relational expression of the far-field sound pressure level of each component concerning frequen-cies,train speeds,characteristic sizes,and propagation distances through fitting.The far-field radiated noise from the 11 components was aggregated to create an empirical formula for calculating far-field noise from the bogie zone.These findings demonstrate the satisfactory accuracy of the fitted formula in quickly computing the far-field aerodynamic noise of the bogie zone,based on models of varying scales for high-speed trains.This methodology also offers a reference for establishing computational methods for aerodynamic noise radiation of other types of vehicles.
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