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Relating trackbed stiffness and behaviour with track performance and maintenance needs

Relating trackbed stiffness and behaviour with track performance and maintenance needs
Relating trackbed stiffness and behaviour with track performance and maintenance needs
Differential settlement along the track is a significant concern for railways, especially but not exclusively at transitions onto or from hard substructures. Recent attempts to forecast its development have combined empirical or semi-empirical ballast settlement equations with dynamic vehicle track interaction (VTI) models. Such analyses may demonstrate a relationship between variations in loading and settlement and how track geometry deterioration onsets. However, a generally applicable settlement equation is inexistent, and current VTI simulations run for short track sections or in large steps with settlement predicted forward cycles for computational economy.
This study proposes a new track settlement model, named STAM, that accounts for load magnitude and history and the contribution of subgrade layers to the total permanent deformation. The model’s functions and parameters are determined using data from cyclic laboratory tests on a single sleeper and Finite Element (FE) analyses. STAM was then integrated into an in-house VTI model and acceleration algorithm to form a Vehicle Track Interaction Long-term Model (VTILM). The capability of VTILM to estimate the development of track differential settlement over 10,000 cycles was tested in two 65-m long track sections with variations in trackbed support conditions: a single-span railway bridge and a plain track section with a stochastic trackbed stiffness. The effect of track stiffness, train speed, earthwork materials and initial settlement profile on the performance of the single-span railway bridge was also evaluated in the short-term using a dynamic 2D FE model.
The model demonstrates that variations in track stiffness associated with changes in trackbed condition could onset track geometry degradation. The model can replicate three frequently observed track behaviours: the development of a bump/dip at the ends of transition zones, the increased maintenance needs for poor trackbed conditions, and a relation between the maximum settlement and maximum angular distortion.
ballast, track, Track settlement, finite element analysis, VTISM, transition zone, bridge, bearing capacity, stiffness, track stiffness, trackbed stiffness, settlement, Differential settlement, dynamic loads, cyclic loading, Ballast settlement model, constitutive model, standard deviation, under sleeper pad (USP), vehicle dynamics
University of Southampton
Ognibene, Giacomo
f52e5891-ed17-43dd-8998-cc3290e1ee11
Ognibene, Giacomo
f52e5891-ed17-43dd-8998-cc3290e1ee11
Powrie, William
600c3f02-00f8-4486-ae4b-b4fc8ec77c3c
Le Pen, Louis
4a38e256-d113-4bba-b0d4-32d41995928a
Harkness, John
026f02e8-41d9-403f-83be-0d880058ecf1

Ognibene, Giacomo (2023) Relating trackbed stiffness and behaviour with track performance and maintenance needs. School of Engineering, Doctoral Thesis, 262pp.

Record type: Thesis (Doctoral)

Abstract

Differential settlement along the track is a significant concern for railways, especially but not exclusively at transitions onto or from hard substructures. Recent attempts to forecast its development have combined empirical or semi-empirical ballast settlement equations with dynamic vehicle track interaction (VTI) models. Such analyses may demonstrate a relationship between variations in loading and settlement and how track geometry deterioration onsets. However, a generally applicable settlement equation is inexistent, and current VTI simulations run for short track sections or in large steps with settlement predicted forward cycles for computational economy.
This study proposes a new track settlement model, named STAM, that accounts for load magnitude and history and the contribution of subgrade layers to the total permanent deformation. The model’s functions and parameters are determined using data from cyclic laboratory tests on a single sleeper and Finite Element (FE) analyses. STAM was then integrated into an in-house VTI model and acceleration algorithm to form a Vehicle Track Interaction Long-term Model (VTILM). The capability of VTILM to estimate the development of track differential settlement over 10,000 cycles was tested in two 65-m long track sections with variations in trackbed support conditions: a single-span railway bridge and a plain track section with a stochastic trackbed stiffness. The effect of track stiffness, train speed, earthwork materials and initial settlement profile on the performance of the single-span railway bridge was also evaluated in the short-term using a dynamic 2D FE model.
The model demonstrates that variations in track stiffness associated with changes in trackbed condition could onset track geometry degradation. The model can replicate three frequently observed track behaviours: the development of a bump/dip at the ends of transition zones, the increased maintenance needs for poor trackbed conditions, and a relation between the maximum settlement and maximum angular distortion.

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More information

Published date: 29 June 2023
Keywords: ballast, track, Track settlement, finite element analysis, VTISM, transition zone, bridge, bearing capacity, stiffness, track stiffness, trackbed stiffness, settlement, Differential settlement, dynamic loads, cyclic loading, Ballast settlement model, constitutive model, standard deviation, under sleeper pad (USP), vehicle dynamics

Identifiers

Local EPrints ID: 478035
URI: http://eprints.soton.ac.uk/id/eprint/478035
PURE UUID: e3e28821-bdf1-4c1f-9898-d513a637dbbb
ORCID for Giacomo Ognibene: ORCID iD orcid.org/0000-0003-4620-2399
ORCID for William Powrie: ORCID iD orcid.org/0000-0002-2271-0826
ORCID for Louis Le Pen: ORCID iD orcid.org/0000-0002-4362-3895
ORCID for John Harkness: ORCID iD orcid.org/0000-0003-0908-0791

Catalogue record

Date deposited: 21 Jun 2023 16:32
Last modified: 12 Jul 2024 04:08

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Contributors

Author: Giacomo Ognibene ORCID iD
Thesis advisor: William Powrie ORCID iD
Thesis advisor: Louis Le Pen ORCID iD
Thesis advisor: John Harkness ORCID iD

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