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Analysis of institutional authors

Latorre Iglesias, EduardoAuthor

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Methodology to evaluate the uncertainty of train exterior noise prediction

Publicated to:Proceedings Of The Institution Of Mechanical Engineers Part C-Journal Of Mechanical Engineering Science. 233 (18): 6460-6472 - 2019-09-01 233(18), DOI: 10.1177/0954406219853855

Authors: Iglesias EL; Xia J; Farooq ME; Bistagnino A; Sapena J

Affiliations

Alstom - Author
Institut National des Sciences Appliquees de Lyon - Author
Université Polytechnique Hauts-de-France - Author

Abstract

© IMechE 2019. 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.

Keywords

AcousticsNoiseRailwaySimulationUncertainty

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Proceedings Of The Institution Of Mechanical Engineers Part C-Journal Of Mechanical Engineering Science due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2019, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category Mechanical Engineering. Notably, the journal is positioned en el Cuartil Q3 for the agency WoS (JCR) in the category Engineering, Mechanical.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-06-29:

  • Scopus: 3

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-06-29:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 12 (PlumX).

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: France.