Abstract:The aerodynamic noise of high-speed trains passing through a tunnel has gradually become an important issue. Numerical approaches for predicting the aerodynamic noise sources of high-speed trains running in tunnels are the key to alleviating aerodynamic noise issues. In this paper, two typical numerical methods are used to calculate the aerodynamic noise of high-speed trains. These are the static method combined with non-reflective boundary conditions and the dynamic mesh method combined with adaptive mesh. Th… Show more
“…Computational Aerodynamic Acoustics (CAA) uses numerical computational methods to study the non-constant flow mechanism of noise generated by the interaction between fluid and solid boundaries in order to provide a systematic theoretical basis for noise prediction and improvement. 17 For high-speed trains with complex shapes and many components, ANSYS Fluent software is used to solve the generation and propagation processes of aerodynamic noise separately using a hybrid solution method.…”
Section: Numerical Simulation Methods For Aerodynamic Noisementioning
confidence: 99%
“…Computational Aerodynamic Acoustics (CAA) uses numerical computational methods to study the non-constant flow mechanism of noise generated by the interaction between fluid and solid boundaries in order to provide a systematic theoretical basis for noise prediction and improvement. 17 For high-speed trains with complex shapes and many components, ANSYS Fluent software is used to solve the generation and propagation processes of aerodynamic noise separately using a hybrid solution method.(a) Firstly, the steady-state calculation is carried out using the Standard k−ε turbulence model to obtain the steady-state solution of the external flow field of the high-speed train. The steady state solution is used as an initial value for subsequent transient calculations.(b) For the transient part (sound field calculation), the Lighthill stress tensor (Tij) on the vehicle surface is calculated by Large Eddy Simulation (LES) with the steady state solution of the flow field as the initial state in order to construct the Lighthill equation.…”
Section: Numerical Simulation Methods For Aerodynamic Noisementioning
In order to improve the efficiency of high-speed train aerodynamic noise analysis and provide a feasible method for aerodynamic noise prediction, the aerodynamic noise and its influencing factors are analyzed from the perspective of the total energy (sound power) radiated to the far field per unit time by the aerodynamic fundamental noise sources (monopole, dipole and quadrupole sources). A full-scale and a 1:8 scale-down computational fluid dynamics model of a high-speed train are established. The far-field sound pressure level at several receivers and velocities is calculated by using the transient large eddy simulation and the FW-H equation. The numerical simulation results are used to predict the aerodynamic noise under specified working conditions. The research work can achieve the prediction of aerodynamic noise at other velocities using noise data at known velocities on the same noise source case, as well as the prediction of aerodynamic noise of full-scale model using data of scale-down model, and is applicable to either bogies as local noise sources or the complete vehicle as a noise source. The maximum error between the prediction and simulation result is 0.33 dBA under various working conditions, which meets the engineering calculation requirements.
“…Computational Aerodynamic Acoustics (CAA) uses numerical computational methods to study the non-constant flow mechanism of noise generated by the interaction between fluid and solid boundaries in order to provide a systematic theoretical basis for noise prediction and improvement. 17 For high-speed trains with complex shapes and many components, ANSYS Fluent software is used to solve the generation and propagation processes of aerodynamic noise separately using a hybrid solution method.…”
Section: Numerical Simulation Methods For Aerodynamic Noisementioning
confidence: 99%
“…Computational Aerodynamic Acoustics (CAA) uses numerical computational methods to study the non-constant flow mechanism of noise generated by the interaction between fluid and solid boundaries in order to provide a systematic theoretical basis for noise prediction and improvement. 17 For high-speed trains with complex shapes and many components, ANSYS Fluent software is used to solve the generation and propagation processes of aerodynamic noise separately using a hybrid solution method.(a) Firstly, the steady-state calculation is carried out using the Standard k−ε turbulence model to obtain the steady-state solution of the external flow field of the high-speed train. The steady state solution is used as an initial value for subsequent transient calculations.(b) For the transient part (sound field calculation), the Lighthill stress tensor (Tij) on the vehicle surface is calculated by Large Eddy Simulation (LES) with the steady state solution of the flow field as the initial state in order to construct the Lighthill equation.…”
Section: Numerical Simulation Methods For Aerodynamic Noisementioning
In order to improve the efficiency of high-speed train aerodynamic noise analysis and provide a feasible method for aerodynamic noise prediction, the aerodynamic noise and its influencing factors are analyzed from the perspective of the total energy (sound power) radiated to the far field per unit time by the aerodynamic fundamental noise sources (monopole, dipole and quadrupole sources). A full-scale and a 1:8 scale-down computational fluid dynamics model of a high-speed train are established. The far-field sound pressure level at several receivers and velocities is calculated by using the transient large eddy simulation and the FW-H equation. The numerical simulation results are used to predict the aerodynamic noise under specified working conditions. The research work can achieve the prediction of aerodynamic noise at other velocities using noise data at known velocities on the same noise source case, as well as the prediction of aerodynamic noise of full-scale model using data of scale-down model, and is applicable to either bogies as local noise sources or the complete vehicle as a noise source. The maximum error between the prediction and simulation result is 0.33 dBA under various working conditions, which meets the engineering calculation requirements.
In this paper, the unsteady flow around a high-speed train is numerically simulated by detached eddy simulation method (DES), and the far-field noise is predicted using the Ffowcs Williams-Hawkings (FW-H) acoustic model. The reliability of the numerical calculation is verified by wind tunnel experiments. The superposition relationship between the far-field radiated noise of the local aerodynamic noise sources of the high-speed train and the whole noise source is analyzed. Since the aerodynamic noise of high-speed trains is derived from its different components, a stepwise calculation method is proposed to predict the aerodynamic noise of high-speed trains. The results show that the local noise sources of high-speed trains and the whole noise source conform to the principle of sound source energy superposition. Using the head, middle and tail cars of the high-speed train as noise sources, different numerical models are established to obtain the far-field radiated noise of each aerodynamic noise source. The far-field total noise of high-speed trains is predicted using sound source superposition. A step-by-step calculation of each local aerodynamic noise source is used to obtain the superimposed value of the far-field noise. This is consistent with the far-field noise of the whole train model’s aerodynamic noise. The averaged sound pressure level of the far-field longitudinal noise measurement points differs by 1.92 dBA. The step-by-step numerical prediction method of aerodynamic noise of high-speed trains can provide a reference for the numerical prediction of aerodynamic noise generated by long marshalling high-speed trains.
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