scholarly journals 117 Interior noise prediction of a rolling stock by statistical energy analysis

2013 ◽  
Vol 2013.23 (0) ◽  
pp. 78-81
Author(s):  
Takashi YOSHIZAWA ◽  
Yasushi TAKANO ◽  
Toshihiko MOCHIDA ◽  
Michio SEBATA ◽  
Kazuhiro MAKINO
Keyword(s):  
Energy Analysis ◽  
Interior Noise ◽  
Rolling Stock ◽  
Noise Prediction ◽  
Statistical Energy Analysis

scholarly journals Prediction of interior noise in rolling stock by statistical energy analysis

2015 ◽  
Vol 81 (825) ◽  
pp. 15-00009-15-00009
Author(s):  
Takashi YOSHIZAWA ◽  
Yasushi TAKANO ◽  
Toshihiko MOCHIDA ◽  
Michio SEBATA
Keyword(s):  
Energy Analysis ◽  
Interior Noise ◽  
Rolling Stock ◽  
Statistical Energy Analysis

Methodology to evaluate the uncertainty of train exterior noise prediction

2019 ◽  
Vol 233 (18) ◽  
pp. 6460-6472
Author(s):  
E Latorre Iglesias ◽  
J Xia ◽  
ME Farooq ◽  
A Bistagnino ◽  
J Sapena
Keyword(s):  
Uncertainty Assessment ◽  
Interior Noise ◽  
Uncertainty Evaluation ◽  
Rolling Stock ◽  
Noise Prediction ◽  
Environment Friendly ◽  
Certification Process ◽  
Eu Directives ◽  
Design Options ◽  
The Cost

Noise emissions play a key role in the development of environment-friendly rolling stock. Noise limits given by EU directives for interoperability purposes but also by internal directives of the different countries where any kind of rolling stock operates have to be respected for train approval. Exterior noise predictions are used nowadays to validate the design of new rolling stock. These predictions are used within the companies to evaluate the different design options, to optimize costs, to assess the risks and for virtual certification in cases where existing products are modified. Potentially predictions could be used in the future for a complete virtual certification of the train allowing to decrease or even to completely avoid the noise tests that are currently carried out by the train manufacturers. As a consequence, the cost of the certification process will be reduced. One of the challenges for a complete virtual certification is the assessment of uncertainties in the predictions as probably this will not be accepted by the stakeholders without a defined and validated uncertainty assessment. This work presents a methodology to estimate the uncertainty of the predictions of train noise emissions. An example of the application of the proposed framework for uncertainty evaluation is provided for a typical suburban rolling stock showing the feasibility of its use for railway exterior noise predictions but potentially also for interior noise calculations and for different applications other than railway.

Recent developments in statistical energy analysis for aircraft interior noise

2002 ◽  
Vol 112 (5) ◽  
pp. 2348-2348
Author(s):  
Paul Bremner ◽  
Michael Bloor ◽  
John F. Wilby
Keyword(s):  
Energy Analysis ◽  
Interior Noise ◽  
Statistical Energy Analysis ◽  
Recent Developments

scholarly journals Study on Noise Prediction and Reduction in Coupled Workshops Using SEA Method

2011 ◽  
Vol 2011 ◽  
pp. 1-8
Author(s):  
Ye Lei ◽  
Jie Pan ◽  
Meiping Sheng
Keyword(s):  
Experimental Data ◽  
Theoretical Model ◽  
Noise Reduction ◽  
Reasonable Agreement ◽  
Energy Analysis ◽  
Noise Prediction ◽  
Statistical Energy Analysis ◽  
Sound Energy ◽  
Significant Element

A theoretical model for predicting noise reduction in coupled workshops is presented by using statistical energy analysis (SEA) method. An opening between the coupled workshops is considered into the theoretical model properly. The leakage issue is dealt with in the process of SEA modeling. An experiment is also carried out. A reasonable agreement between the prediction of noise reduction and the experimental data is observed. Moreover, it is concluded from the simulations that the sound energy transmit through the opening was the most important way to affect the noise reduction and the leakage is a significant element to influence the effect of noise treatment.

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