Year: 2023
Type: conference-paper
Abstract: The UK's Department for Environment, Food and Rural Affairs (Defra) commissioned a series of studies investigating the sensitivity of the CNOSSOS-EU noise assessment method.CNOS-SOS-EU presents challenges in terms of data accuracy and availability.These studies were commissioned to support data governance and to quantify potential uncertainty in Defra's national noise model.The quality framework in Directive 2015/996 requires that uncertainty in rail emission source levels is limited to ±2 dBA.Due to the CNOSSOS-EU railway emission model being of multivariate complexity, and the multitude of possible parameter combinations, the study took a scenario and parametric-based approach.Railway emissions calculated for each parameter for a set of rail vehicle speeds and rail infrastructure scenarios, were used to indicate which input parameters the emissions are most sensitive to.It was found that emissions are most sensitive to changes in the number of axles on the vehicle (i.e., wheel / rail interaction), the density of track joints (impact noise), the curvature of the track (squeal noise), and the construction of bridges (structural resonances).However, the choice of rail roughness, vehicle transfer function, and track transfer function (except in the case of direct fastenings) were found to have a limited impact on railway emission levels.
DOI: 10.25144/14952
Authors: J PHILLIPS, S SHILTON, J TROW
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4415574953