Investigation on the time/frequency domain prediction model of radiation noise based on the source map

Author:

Tan Xiao-ming123ORCID,Yang Zhi-gang12

Affiliation:

1. Key Laboratory of Intelligent Manufacturing and Service Performance Optimization of Laser and Grinding in Mechanical Industry, Hunan Institute of Science and Technology, Yueyang, China

2. Key Laboratory of Traffic Safety on Track, Central South University, Ministry of Education, Changsha, China

3. China Aerodynamics Research and Development Center, Key Laboratory of Pneumatic Noise Control, Mianyang, China

Abstract

The main exterior noise sources of the high-speed train CRH380AM, such as pantograph and bogie, are studied by using the field test sound imaging data, and the equivalent point source spectrums are obtained here. Then, the prediction model of the exterior train noise is presented by using the moving point sound source radiation model in the time/frequency domain. The correctness and effectiveness of the model are verified by the field test data. The radiation contribution of local noise sources is analyzed by using this model, and the following conclusions are obtained: The largest noise sources are in the bogie areas, which provide the radiation contribution rate of about 80% when the train speed is above 300 km/h. The variation of the maximum radiation noise level can be ignored when the train formation or the pantograph lifting position is changed. The model can evaluate the radiated noise of similar vehicles quickly and accurately, which provides technical reference for acoustic optimization design of high-speed train.

Funder

Key Laboratory of Aerodynamic Noise Control

the National Natural Science Foundation of China

Aid Program for Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Province High Performance Manufacturing Processes and Service Performance Optimisation

Publisher

SAGE Publications

Subject

Mechanical Engineering,Mechanics of Materials,Aerospace Engineering,Automotive Engineering,General Materials Science

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