An Elasto-plastic Method for Analysing the Deformation of the Railway Ballast

Sun, Qideng; Indraratna, Buddhima; Nimbalkar, Sanjay

doi:10.1016/j.proeng.2016.06.082

Cited by 7 publications

(4 citation statements)

References 14 publications

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“…Other limitations of some triaxial test-based models include the difficulty of replicating test conditions in the field, the need for high sophistication to understand granular behavior, and the large number of model parameters required in most cases. For example, the elastoplastic model developed in Sun et al 5 requires 15 parameters. On the other hand, empirical models are entirely based on principles that may be different from actual structural behaviors.…”

Section: Modeling the Uniaxial Nonlinearity Of Ballast Using Elastopl...mentioning

confidence: 99%

“…The enormous number of models available for modeling the non-linear resiliency of ballast in the literature are basically from two sources: empirical models based on measured data from triaxial tests (e.g., reference 12), and theoretical models, which are first analytically derived and then validated (or verified) using data from laboratory tests (e.g., references 5,35). Dawson et al 36 attribute the variations in the models available in the literature (from both sources) to the quality and constraints of the apparatus, as well as the testing procedures.…”

Section: Non-linear Fe Model Of Ballasted Trackmentioning

confidence: 99%

“…In the literature, the ballast has been demonstrated to possess work-hardening behavior. 5,12,26 The most common methods used in empirical models are the hyperbolic relationship 18,38 and the exponential/power law. 11,12,22 In conformity with previous works, 39 ballast models based on power law, exponential, hyperbolic, and linear functions were developed in this study.…”

Section: Non-linear Fe Model Of Ballasted Trackmentioning

confidence: 99%

“…Although the accumulation of plastic deformation under the effect of loading is evident, the majority of permanent way engineers and researchers consider the ballast as a linear-elastic medium in rail track models. 5 While the linear-elasticity assumption may be feasible for deep layers of the track (i.e., subgrade), the high level of loading fluctuation and stress changes in the ballast layer, which receives load directly from the sleeper, subject it to variations in strain and stiffness level. Hence, for capturing the general track mechanics, non-linear evaluation of the ballast material become almost inevitable.…”

Section: Introductionmentioning

confidence: 99%

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On the selection of the most plausible non-linear axial stress–strain model for railway ballast under different impulse magnitudes

Adeagbo

Lam

2021

Structural Health Monitoring

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The effective maintenance and health monitoring of ballasted railway tracks, which involves the determination of differential settlement, track support stress and stiffness, and the strain-hardening property of ballast, is essential. The vertical stress–strain behavior of the ballast layer is primarily responsible for the irrecoverable strains and settlements in tracks, leading to further track degradation. This article reports the development of a series of applicable yet simple uniaxial models and the selection of the most plausible one for capturing the behavior of vertical stresses and strains in ballasts utilizing a set of measured vibration data of the rail–sleeper–ballast system from a Bayesian perspective. From the literature, the dynamic behavior of ballast can be divided into linear and non-linear regions. Under small amplitude vibration, the stress–strain property is linear and elastic, while the behavior becomes non-linear and inelastic once the elasticity limit is exceeded. By integrating the linear phase to some well-known non-linear engineering material laws, a list of new ballast stress–strain model classes was developed. An enhanced Markov chain Monte Carlo–based Bayesian scheme was utilized to explicitly handle the uncertainties in the model updating process, while the Bayesian model class selection method was employed to select the most plausible ballast stress–strain model class under the prevailing system conditions. The proposed methodology was verified using three sets of measured acceleration data from impact hammer tests on an in situ sleeper with simulated ballast damage. The obtained results suggest that the linear-elastic model is sufficient for small amplitude vibrations, while the modified Voce model is the most plausible amongst the investigated model classes for high impact load. The results also demonstrate the importance of the non-linear ballast model in ballast damage identification and the potential applicability of the selected ballast model in field track monitoring.

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Section: Modeling the Uniaxial Nonlinearity Of Ballast Using Elastopl...mentioning

confidence: 99%