Xie, H, Luo, Q, Wang, T et al. (2 more authors) (2023) Stochastic analysis of dynamic stress amplification factors for slab track foundations. International Journal of Rail Transportation. ISSN 2324-8378
Abstract
The relationship between railway track-bed stresses and speed is essential when performing track foundation design. Current approaches to describe this relationship are typically empirical and multiply the static track response by a dynamic amplification factor to account for speed effects. This paper develops an alternative method for dynamic amplification factor generation instead of numerical simulation. A vehicle–track dynamics model is presented, capable of simulating the subgrade dynamics considering random track irregularities. First, samples of irregularity are generated based on a mean vertical track profile power spectral density. A range of train speeds and track-spectrum cumulative probabilities are computed using the numerical model before analyzing the resultant surface stresses. The resulting dynamic amplification factors follow a Gumbel distribution. Data normalization is performed before developing a bespoke dynamic amplification function. Based on speed, track-spectrum cumulative probability, and p-values, the proposed model yields dynamic amplification predictions within 5% of the simulated values.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2023 Informa UK Limited, trading as Taylor & Francis Group. This is an author produced version of an article published in International Journal of Rail Transportation. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Railway slab track, track-bed stress, vehicle–track coupled dynamics, track irregularity, Stochastic analysis, dynamic amplification factor |
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: | 10 Mar 2023 16:58 |
Last Modified: | 26 Jan 2024 01:13 |
Status: | Published online |
Publisher: | Taylor and Francis |
Identification Number: | 10.1080/23248378.2023.2170286 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:196926 |