Bayesian Network-based probability analysis of train derailments caused by various extreme weather patterns on railway turnouts

Dindar, Serdar; Kaewunruen, Sakdirat; An, Min; Sussman, Joseph M.

doi:10.1016/j.ssci.2017.12.028

Cited by 60 publications

(36 citation statements)

References 15 publications

(14 reference statements)

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“…Exceptionally, the failure of a sleeper will significantly increase the risk of rail breaks at welds, joints, rail surface defects, rail foot defects, turnouts (or called 'switches and crossings') [13], and will inevitably create asymmetrical load balancing and redistribution [14]. These exceptional risks can lead to detrimental train derailments causing not only financial penalties but also losses of lives [15].…”

Section: Introductionmentioning

confidence: 99%

Flexural cracking-induced acoustic emission peak frequency shift in railway prestressed concrete sleepers

Janeliukštis

Clark

Papaelias

et al. 2019

Engineering Structures

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Section: Introductionmentioning

confidence: 99%

Flexural cracking-induced acoustic emission peak frequency shift in railway prestressed concrete sleepers

Janeliukštis

Clark

Papaelias

et al. 2019

Engineering Structures

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“…Furthermore, numerical tools provide a flexible environment for changing the parameters or generating various scenarios. The diverse applications of numerical methods include risk analysis [13], maintenance [14], failure detection [15], etc. ; however, the general propensity here involves investigating the dynamic behavior of wheel-rail contact forces over a turnout globally or locally [5,[9][10][11][12].…”

Section: Geometry and Materials Propertiesmentioning

confidence: 99%

New Insights from Multibody Dynamic Analyses of a Turnout System under Impact Loads

et al. 2019

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A railway turnout is an essential infrastructure for managing railway traffic flexibility. In contrast, it imposes restrictions on train operations such as lower operational speeds through the turnout due to the complex movements of trains over the turnout. This results in the large-amplitude dynamic responses of the train-turnout interaction. Previous studies have focused on the train-turnout interactions entailing the wheel-rail contact forces and stresses. Very few of the studies considered the effects of the contact forces on the turnout structure and its components such as sleepers and bearers. Those previous studies neglected the dynamic forces and estimated the behavior of train-turnout interactions based on quasi-static calculations. In reality, turnouts are subjected to high impact forces, which can be higher than the permissible track forces. Consequently, a numerical model capable of determining impact forces was developed here, to evaluate the dynamic behaviors of a railway turnout and their effects on such turnout components as bearers, ballast, and so on. The model consists of a structured beam grillage laying on an elastic foundation with rigid wheelsets and a bogie. The model was verified by field measurements. The new insight stemmed from this study shows that neglecting the contribution of dynamic forces can result in the unsafe underestimation of train turnout behaviors.

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“…Without appropriate inspection and maintenance, geometry defects will cause passenger discomfort, rough ride, increased dynamic and impact loads on track components, incorrect rail adjustment on curves, incorrect track centers and fouled clearances, and eventually a train derailment by altered wheel load distribution (Kaewunruen et al, 2017(Kaewunruen et al, , 2018b. On the other hand, the component defects tend to cause more severe effects such as infrastructure damages, large settlements, highintensity impact loads, mud pumping, and so on, which can often lead to detrimental train derailments especially when the track is exposed to uncertain environments (Bin Osman and Dindar et al, 2018;Kaewunruen et al, 2018a).…”

Section: Fixed Assets and Total Inspectionmentioning

confidence: 99%

The Total Track Inspection

Kaewunruen

Osman

Rungskunroch

2019

Front. Built Environ.

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Operations of railway business have always placed "safety" as the first priority. Managing "public safety" requires integral risk monitoring and management. The risk monitoring for rail infrastructure management relies on accurate health monitoring and integrated track inspection. Health monitoring of all rail assets have given rise to "Big Data," which have been derived and recorded from on-board monitoring and on-track inspections of both fixed and mobile assets. In this paper, the safety-critical inspections of fixed assets or railway infrastructures have be emphasized in order to obtain the integral insights into track defects, irregularities and deterioration of track geometry and components. This paper highlights the systems-based integration framework of on-board and on-site inspection data for railway track integrity assurance under uncertain settings. The risks and consequences of extreme climates have been considered in order to improve adaptiveness, agility, and readiness of the systems-based framework of the total track inspection activities that could underpin and assure track infrastructure integrity and resilience. New challenges in observational field data have been highlighted as the evidences for the necessity for the adaptive systems-based framework of the total track inspection.

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Bayesian Network-based probability analysis of train derailments caused by various extreme weather patterns on railway turnouts

Abstract: Network-based probability analysis of train derailments caused by various extreme weather patterns on railway turnouts', Safety Science.

Cited by 60 publications

References 15 publications

Flexural cracking-induced acoustic emission peak frequency shift in railway prestressed concrete sleepers

Flexural cracking-induced acoustic emission peak frequency shift in railway prestressed concrete sleepers

New Insights from Multibody Dynamic Analyses of a Turnout System under Impact Loads

The Total Track Inspection

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