Galvín, P, Mendoza, DL, Connolly, DP et al. (3 more authors) (2018) Scoping assessment of free-field vibrations due to railway traffic. Soil Dynamics and Earthquake Engineering, 114. pp. 598-614. ISSN 0267-7261
Abstract
The number of railway lines both operational and under construction is growing rapidly, leading to an increase in the number of buildings adversely affected by ground-borne vibration (e.g. shaking and indoor noise). Post-construction mitigation measures are expensive, thus driving the need for early stage prediction, during project planning/development phases. To achieve this, scoping models (i.e. desktop studies) are used to assess long stretches of track quickly, in absence of detailed design information. This paper presents a new, highly customisable scoping model, which can analyse the effect of detailed changes to train, track and soil on ground vibration levels. The methodology considers soil stiffness and the combination of both the dynamic and static forces generated due to train passage. It has low computational cost and can predict free-field vibration levels in accordance with the most common international standards. The model uses the direct stiffness method to compute the soil Green's function, and a novel two-and-a-half dimensional (2.5D) finite element strategy for train-track interaction. The soil Green's function is modulated using a neural network (NN) procedure to remove the need for the time consuming computation of track-soil coupling. This modulation factor combined with the new train-track approach results in a large reduction in computational time. The proposed model is validated by comparing track receptance, free-field mobility and soil vibration with both field experiments and a more comprehensive 2.5D combined finite element-boundary element (FEM-BEM) model. A sensitivity analysis is undertaken and it is shown that track type, soil properties and train speed have a dominant effect on ground vibration levels. Finally, the possibility of using average shear wave velocity introduced for seismic site response analysis to predict vibration levels is investigated and shown to be reasonable for certain smooth stratigraphy's.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2018 Elsevier Ltd. This is an author produced version of a paper published in Soil Dynamics and Earthquake Engineering. Uploaded in accordance with the publisher's self-archiving policy |
Keywords: | Scoping assessment; Free-field vibrations; Soil vibrations; Neural network; Vs30 profile; Railroad vibration; Railway traffic; High speed rail; Ground-borne vibrations; Environmental Impact Assessment (EIA) |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 06 Sep 2018 09:15 |
Last Modified: | 17 Aug 2019 01:05 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.soildyn.2018.07.046 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:135334 |