2023
DOI: 10.1016/j.apacoust.2023.109261
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Analysis of unsteady flow field and near-field aerodynamic noise of scale high-speed trains in long tunnel

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Cited by 5 publications
(3 citation statements)
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“…The radiated sound power is directly proportional to the 4th, 6th and 8th power of the airflow velocity respectively. 18 The sound power of the three sources is defined asWhere WM, WD, and WQ are the sound power radiated by the three acoustic sources; kM, kD and kQ are the scaling factors and are constants; ρ is the air density; u is the velocity of the acoustic source; d is the characteristic size of the acoustic source; c is the sound speed.…”
Section: High-speed Train Aerodynamic Noise Prediction Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The radiated sound power is directly proportional to the 4th, 6th and 8th power of the airflow velocity respectively. 18 The sound power of the three sources is defined asWhere WM, WD, and WQ are the sound power radiated by the three acoustic sources; kM, kD and kQ are the scaling factors and are constants; ρ is the air density; u is the velocity of the acoustic source; d is the characteristic size of the acoustic source; c is the sound speed.…”
Section: High-speed Train Aerodynamic Noise Prediction Methodsmentioning
confidence: 99%
“…The radiated sound power is directly proportional to the 4th, 6th and 8th power of the airflow velocity respectively. 18 The sound power of the three sources is defined as…”
Section: Far-field Aerodynamic Noise Under Point Noise Sourcesmentioning
confidence: 99%
“…Wang [36] established a train aerodynamic model to study the aerodynamic characteristics of high-speed trains under the action of two different lateral winds: average wind and index wind. Ouyang [37] used hybrid LES/APE method to simulate the unsteady flow field and the near-field aerodynamic noise of a 1/25 scale eightcoach high-speed train in long tunnel to study the changes in sound pressure in different cases, including tunnel with fully reflective walls and tunnel with fully absorptive walls and open air. S. Maleki et al [38] used various turbulence modeling approaches including ELES, SAS, URANS and RANS to predict the aerodynamic flow around a double-stacked freight wagon.…”
Section: Introductionmentioning
confidence: 99%