Titlebook: Noise and Vibration Mitigation for Rail Transportation Systems; Proceedings of the 1 Xiaozhen Sheng,David Thompson,Thorsten Tielkes Confere

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Framework for Optimization of Multi-source Railway High Speed Noise Models Through Hybrid Methods Cohat aerodynamic noise sources at high speed are not only placed at low height, but also in the upper parts of the train (Gautier et al. in High speed trains external noise: a review of measurements and source models for the TGV case up to 360?km/h, Seoul, 2008 [.]; Noh in J Rail Rapid Transit 228:30

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Analysis of the Uncertainty of High-Speed Rail Noise Predictionss. Generally, single values representing reasonable worst-case assumptions are selected for each input parameter. Variation in factors such as local meteorological conditions, receiver location and source characteristics means that there is uncertainty in the model inputs that, when propagated throu

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Towards Rail Noise Identification and Localization Based on Deep Learnings. It is essential to understand the source of noise and vibration to identify the issue behind it. However, the complexity of noise analysis is embodied with acoustic signals with overlaps, as is usually the case in rail systems with the urban environment, while seldom discussed in previous studies

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機(jī)密

Considerations for the Implementation of a Train Vibration Monitoring System in Subway Tunnelss and extends northward beneath the campus in twin-bore tunnels. To address UW concerns that train-generated ground vibration may negatively affect sensitive research, Sound Transit agreed to install a vibration monitoring system in the tunnels and use the measured tunnel vibration to identify any t

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Design and Performance of a Comprehensive Vibration Monitoring System for Trains Under University ofibration produced by the trains is required to meet stringent vibration limits for 24 buildings. Vibration from each train passby is recorded by 40 vibration monitoring units installed in the tunnels. The monitoring units are designed to trigger warning alarms in case the train vibration levels appr

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Prediction of the Aerodynamic Sound Power Level of a High Speed Train Bogie Based on Unsteady FW-H Sise source for speeds above 250 kph and major areas of noise generation on (high speed) trains are the train head, the leading and second bogie, the pantograph and the gaps between coaches. This paper presents a numerical simulation approach based on CFD/CAA techniques aiming to estimate equivalent

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