Cost-efficient mitigation of railway noise
DESTINATE developed tools for accurate prediction of noise. These allow evaluation of mitigation measures in vehicle design.
Project leader
Dr Christian Ulianov
Sponsors
EU Horizon 2020
Partners
TUB - Technical University of Berlin, Institute of Land and Sea Transportation Systems, Chair of Rail Vehicles, DE
PUT - Poznan University of Technology, Institute of Combustion Engines and Transport, Division of Rail Vehicles, PL
MBBM – Müller-BBM, DE MBBM-RAIL - Müller-BBM Rail Technologies (DE) shall be added soon as a new beneficiary
EMPA - Swiss Federal Laboratories for Materials, Science and Technology, Laboratory for Acoustics / Noise Control, CH
SATIS - Sound Advice in Technology, Innovation and Strategy, NL
STAV - Stadler Rail Valencia, Design & Development Engineering, ES
NLR - Netherlands Aerospace Centre, NL
Description
DESTINATE developed tools and methodologies for railway noise simulation. It carried out cost-benefit analysis of mitigation actions of interior and exterior noise.
For accurate noise prediction, valid input for sound prediction simulation models is needed. To do this, we must characterise structure-borne and airborne sound sources accurately. It is possible to auralise and visualise the calculated interior and exterior noise in a studio. This allows evaluation of the quality and comfort of potential mitigation measures in vehicle design.
DESTINATE further developed cost effectiveness prediction. This has created the foundation for powerful tools to support decision-making on noise and vibration mitigation measures.
Newcastle University contributed to all of the technical Work Packages, with focus on:
- characterisation of noise sources and mitigation measures
- active windows technology
- track parameters for cost effectiveness prediction tools