Scoping prediction of re-radiated ground-borne noise and vibration near high speed rail lines with variable soilsстатья из журнала
Аннотация: This paper outlines a vibration prediction tool, ScopeRail, capable of predicting in-door noise and vibration, within structures in close proximity to high speed railway lines. The tool is designed to rapidly predict vibration levels over large track distances, while using historical soil information to increase accuracy. Model results are compared to an alternative, commonly used, scoping model and it is found that ScopeRail offers higher accuracy predictions. This increased accuracy can potentially reduce the cost of vibration environmental impact assessments for new high speed rail lines. To develop the tool, a three-dimensional finite element model is first outlined capable of simulating vibration generation and propagation from high speed rail lines. A vast array of model permutations are computed to assess the effect of each input parameter on absolute ground vibration levels. These relations are analysed using a machine learning approach, resulting in a model that can instantly predict ground vibration levels in the presence of different train speeds and soil profiles. Then a collection of empirical factors are coupled with the model to allow for the prediction of structural vibration and in-door noise in buildings located near high speed lines. Additional factors are also used to enable the prediction of vibrations in the presence of abatement measures (e.g. ballast mats and floating slab tracks) and additional excitation mechanisms (e.g. wheelflats and switches/crossings).
Год издания: 2014
Авторы: David P. Connolly, Georges Kouroussis, P.K. Woodward, Antonios Giannopoulos, O. Verlinden, M. C. Forde
Издательство: Elsevier BV
Источник: Soil Dynamics and Earthquake Engineering
Ключевые слова: Railway Engineering and Dynamics, Civil and Geotechnical Engineering Research, Railway Systems and Energy Efficiency
Другие ссылки: Soil Dynamics and Earthquake Engineering (HTML)
White Rose Research Online (University of Leeds) (HTML)
Edinburgh Research Explorer (University of Edinburgh) (HTML)
Edinburgh Research Explorer (University of Edinburgh) (PDF)
Edinburgh Research Explorer (University of Edinburgh) (HTML)
White Rose Research Online (University of Leeds) (HTML)
Edinburgh Research Explorer (University of Edinburgh) (HTML)
Edinburgh Research Explorer (University of Edinburgh) (PDF)
Edinburgh Research Explorer (University of Edinburgh) (HTML)
Открытый доступ: hybrid
Том: 66
Страницы: 78–88