Railway Rolling Stock CRN Mathematical Model
2008
Valentīns Popovs, Peteris Balckars, Andrejs Baranovskis

In this paper the English national mathematical model for railway rolling stock noise propagation prediction is described. CRN mathematical model distinguishes with the ease of numerical calculation implementation. The basis for numerical calculation is the information about noise level, which is being produced by one wagon. Knowledge of the noise level, which is being produced by one wagon, gives the possibility to calculate the noise level, which is being produced by a rolling stock, consisting of N identical wagons. Various important parameters are taken into account during calculation, such as: wagon type, number of wagons in the rolling stock and the rolling stock movement speed, as well many correction coefficients. The final calculation result is the A weighted equivalent noise level value for the certain track segment and for the day’s or night’s period of time. As the model’s imperfection it is needed to note the following: noise frequency characteristics, variety of wagon types in the rolling stock and weather conditions are not taken into account. Applicability of the given model is limited to the conditions of normal movement of trains on a railroad tracks, i.e. presence of such phenomena as a roughness of a railroad track, squeal of wheel pairs, flanging can raise the SEL level for up to 20 dBA.


Keywords
rolling stock, noise, level

Popovs, V., Balckars, P., Baranovskis, A. Railway Rolling Stock CRN Mathematical Model. Railway Transport. Vol.30, 2008, pp.21-29. ISSN 1407-8015.

Publication language
Russian (ru)
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