Publication Date:
2014
abstract:
The recent growth in the railway sector has involved a fast increment in technologies and
requirements. The first trains were slow, noisy and polluting, the modern ones are more comfortable and the
electrical engine can guarantee a safe-life for nature. The recent improvement in technology has been pulled by
the more strictly requirements imposed by the law and by the customers, especially in terms of safety and
comfort criteria. One of the more hard-to-satisfy criteria is the acoustical one. The European Union has
recently approved a new technical regulation that must be satisfied for trains: the value of allowable SPL inside
the cabin is fixed to 65 dB. This requirements is than generally lowered by the customer requirements that
imposes a "technical minimum requirement" more strictly than legislative one. Before the train is available for
experimental tests just a numerical approach can be used to forecast the acoustic performance of the system.
Many numerical approaches are available in this sense, as those based on Fem, BEM, SEA or Ray Tracing
formulations; the availability of new computers and technologies has increased the computational capabilities
and increased the accuracy of these tools . In any case, all these approaches can be used only to predict the
distribution of noise field (in terms of SPL for example) and/or to identify the relative spectral characteristics;
they cannot exactly replicate the subjective response to noise exposure. To reproduce this sensation of sound
or noise, during this work, an hybrid approach based upon "standard" numerical technique and novel
mathematical approaches have been used . Two train noise sources have been chosen (wheel and engine) and
mathematical models have be developed to calculate the SPL vs time relationship. The model, implemented in
a Simulink® environment, has been used for a real-time simulation of the source noise emission and relative
interaction with the physical environment . The computed noise can be heard using a speaker system.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
noise source characterization; train; wheel-rail interaction; electrical engine; numerical modeling
List of contributors:
Siano, Daniela
Book title:
Recent Research in Electrical Engineering
Published in: