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            Chapter HSE Management for a Sound Work Environment: Strategies for Improving Health Safety and Environmental Indicators through Ergonomic Design Thinking

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            Author(s)
            Santos, Marcello Silva e
            Fonseca, Maria da Conceição Vinciprova
            Soares, Marcelo Marcio
            Fonseca, Bernardo Bastos da
            Aguilera, Maria Victoria Cabrera
            Fernandes, Ananda Halfeld Alves
            Language
            English
            Show full item record
            Abstract
            The environmental effect of ground-borne vibration and noise generated by urban rail transit systems is a growing concern in urban areas. This chapter reviews, synthesizes and benchmarks new understandings related to railway vibration and associated airborne and ground-borne noise. The aim is to provide new thinking on how to predict noise and vibration levels from numerical modelling and from readily available conventional site investigation data. Recent results from some European metropoles (Brussels, Athens, etc.) are used to illustrate the dynamic effect of urban railway vehicles. It is also proved that train type and the contact conditions at the wheel/rail interface can be influential in the generation of vibration. The use of noise-mapping-based results offers an efficient and rapid way to evaluate mitigation measures in a large scale regarding the noise exposure generated to dense urban railway traffic. It is hoped that this information may provide assistance to future researchers attempting to simulate railway vehicle vibration and noise.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/188896
            Keywords
            structural vibration, railway vibration, environmental noise, vibration assessment, measurement, standards, human effect, building simulation, noise mapping, LRT
            DOI
            10.5772/66650
            Publisher
            InTechOpen
            Publication date and place
            2017
            Classification
            Transport technology & trades
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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