Towards the understanding of wheel-rail flange squeal: In-situ experiment and genuine 3D profile-enhanced transient modelling

Luo, Yun-Ke; Zhou, Lu; Ni, Yiqing

doi:10.1016/j.ymssp.2022.109455

Cited by 10 publications

(4 citation statements)

References 53 publications

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“…3 shows an instance of the frequency response function and Markov parameters between y c and y b1 . In practice, these modal properties could be directly measured through experimental modal analysis without any prior specification over the vehicle model [7].…”

Section: Railway Vehicle Model Descriptionmentioning

confidence: 99%

Inverse Reconstruction of Unsteady Aerodynamic Loads Acting on Railway Vehicles

HAO,

WANG,

CHEN

et al. 2023

Proceedings of the 14th International Workshop on Structural Health Monitoring

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During normal operation, railway vehicles often endure significant vibrations due to unsteady aerodynamic loads. Precisely quantifying these transient forces offers essential insights for operational safety monitoring and vehicle aerodynamic testing. In this paper, we introduce an innovative inverse method for reconstructing active aerodynamic loads using a limited number of acceleration measurements. This method capitalizes on health monitoring instruments already present on the vehicles, thereby eliminating the necessity for supplementary pressure sensors on the vehicle’s exterior surface, as mandated by traditional direct pressure measurement strategies. We develop a Multi-Task Gaussian Processes (MTGP) inverse estimation technique to calculate the conditional probability distribution of loads given the noise-affected acceleration data. The MTGP approach boasts the advantage of analytically forming the posterior of unsteady aerodynamic loads at any time point, as well as offering high reconstruction accuracy. To validate our proposed method, we utilize a numerical example with a 31 DOF railway vehicle model. Aerodynamic loads generated by two trains passing each other are applied to the vehicle model, and acceleration data from the bogies are employed for the inverse reconstruction process. Our results successfully demonstrate the feasibility of reconstructing unsteady aerodynamic loads on railway vehicles, highlighting the potential of our novel approach.

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Section: Railway Vehicle Model Descriptionmentioning

confidence: 99%

Inverse Reconstruction of Unsteady Aerodynamic Loads Acting on Railway Vehicles

HAO,

WANG,

CHEN

et al. 2023

Proceedings of the 14th International Workshop on Structural Health Monitoring

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“…Friction-induced vibration (FIV) is a common phenomenon in daily life and engineering applications, such as squeaks of hinges, wheel-rail squeal [3], creep of water-lubricated bearings [4], disc brake noise [5], and chatter in machine tool systems [6]. Based on the distinct time-frequency features, FIV can be divided into two main types: "strong" FIV in high amplitude with a narrow spectrum lumped on the system's natural frequency (or its harmonics) and "weak" FIV of low-amplitude magnitude with a broadband spectrum related to the natural frequency of each asperity on the sliding surfaces [7].…”

Section: Introductionmentioning

confidence: 99%

A Detecting Method for “Weak” Friction-Induced Vibration Based on Cross-Correlation Analysis between Vibration and Sound Signals

Xing

Zhu

et al. 2023

Applied Sciences

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The “weak” friction-induced vibration can help to monitor the change in friction and wear state of friction pairs and detect the failure of surface damage. However, they are typically submerged in complex interference components during friction. Therefore, detecting accurate “weak” friction-induced vibration is key to using it entirely. A method based on the correlation between friction-induced vibration and sound signals was proposed to achieve this goal. The ball–disk wear experiments were conducted under oil lubrication using a wear tester. Vibration and sound pressure signals generated during the experiments were recorded. By the spectrum analysis of the cross-correlation function calculated from the two types of signals, the “weak” FIV components submerged in the original signals were detected. The experimental results showed that the root mean square change of the “weak” friction-induced vibration detected in the vibration and sound pressure signals was highly consistent with the friction coefficient change. It could effectively characterize the transition of the wear stage from running-in to stable wear of the friction pairs. Therefore, the cross-correlation analysis of vibration and sound signals could be a reliable tool for detecting the “weak” friction-induced vibration.

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“…The railway system plays an important role in transportation, while train-induced vibration gradually becomes a global research focus in recent decades (Connolly 2016). Lots of field measurements (Tao et al 2019;Sanayei et al 2014;Luo et al 2022;Sadeghi and Esmaeili 2017) have been conducted because experimental study was the most direct way to characterize and assess train-induced vibrations. Although general rules can be consistent, such as train-induced vibration levels increase with train speed and loads, the train-induced vibration spectrum are case-dependent and determined by dynamic characteristics of the train-track system and site soil (Takemiya 2008).…”

Section: Introductionmentioning

confidence: 99%

Identification of line-source transfer mobility and force density by ground acceleration measurements

Tao

Wang

et al. 2023

Environ Sci Pollut Res

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Ground-borne vibration caused by railway traffic has been a research concern due to its possible side effects on nearby residences. The force density and line-source mobility can effectively characterize the generation and transmission of train-induced vibrations, respectively. This research proposed a frequencydomain method for identifying the line-source mobility and force density using measured vibrations at the ground surface. It was achieved by minimizing the difference of force densities formulated using measurements at two different locations, in which the genetic algorithm was adopted for solving the optimization problem. The proposed method was later applied to and validated by a case study at Shenzhen Metro in China, where a total of seven fixed-point hammer impacts with 3.3 m equal intervals were used to represent the vibration excitation from one vehicle. The fixed-point loads' assumption was validated by comparing the identifications with the predictions based on the train-track coupled dynamic model and theoretical derivation. Causes for different dominant frequencies can be traced by separating the dynamic characteristics of vibration excitation and transmission. It was found in the case study that at a location 3 m away from the track, the peak at 50 Hz was caused by excitations, while that at 63 Hz was attributed to transmission efficiency related to the soil properties. Finally, the identified line-source transfer mobility and force density levels were applied to the forward problem of making predictions. The predicted ground vibrations at different locations were compared to field measurements, with good agreement, which experimentally validated the identification method. The identification results of the case study can be employed by similar railway systems as a good reference.

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Towards the understanding of wheel-rail flange squeal: In-situ experiment and genuine 3D profile-enhanced transient modelling

Cited by 10 publications

References 53 publications

Inverse Reconstruction of Unsteady Aerodynamic Loads Acting on Railway Vehicles

Inverse Reconstruction of Unsteady Aerodynamic Loads Acting on Railway Vehicles

A Detecting Method for “Weak” Friction-Induced Vibration Based on Cross-Correlation Analysis between Vibration and Sound Signals

Identification of line-source transfer mobility and force density by ground acceleration measurements

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