Detection of damaged supports under railway track based on frequency shift
In railway transportation systems, the tracks are usually fastened on sleepers which are supported by the ballast. A lot of research has been conducted to guarantee the safety of railway track because of its importance, and more concern is expressed about monitoring of track itself such as railway l...
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sg-ntu-dr.10356-829472020-03-07T11:43:32Z Detection of damaged supports under railway track based on frequency shift Wang, Longqi Zhang, Yao Lie, Seng Tjhen School of Civil and Environmental Engineering Damaged supports Railway track In railway transportation systems, the tracks are usually fastened on sleepers which are supported by the ballast. A lot of research has been conducted to guarantee the safety of railway track because of its importance, and more concern is expressed about monitoring of track itself such as railway level and alignment. The ballast and fasteners which provide strong support to the railway track are important as well whereas the detection of loose or missing fasteners and damaged ballast mainly relies on visual inspection. Although it is reliable when the fastener is missing and the damaged ballast is on the surface, it provides less help if the fastener is only loose and the damaged ballast is under the sleepers, which are however frequently observed in practice. This paper proposes an approach based on frequency shift to identify the damaged supports including the loose or missing fasteners and damaged ballast. In this study, the rail-sleeper-ballast system is modeled as an Euler beam evenly supported by a series of springs, the stiffness of which are reduced when the fastener is loose or missing and the ballast under the sleepers is damaged. An auxiliary mass is utilized herein and when it is mounted on the beam, the natural frequencies of the whole system will change with respect to the location of the auxiliary mass. The auxiliary mass induced frequency shift is analyzed and it is found the natural frequencies change periodically when the supports are undamaged, whereas the periodicity will be broken due to damaged supports. In fact, the natural frequencies drop clearly when the auxiliary mass moves over the damaged support. A special damage index only using the information of the damaged states is proposed and both numerical and experimental examples are carried out to validate the proposed method. Accepted version 2017-05-05T08:42:15Z 2019-12-06T15:08:49Z 2017-05-05T08:42:15Z 2019-12-06T15:08:49Z 2017 2016 Journal Article Wang, L., Zhang, Y., & Lie, S. T. (2016). Detection of damaged supports under railway track based on frequency shift. Journal of Sound and Vibration, 392, 142-153. 0022-460X https://hdl.handle.net/10356/82947 http://hdl.handle.net/10220/42348 10.1016/j.jsv.2016.11.018 199402 en Journal of Sound and Vibration © 2016 Elsevier Ltd. This is the author created version of a work that has been peer reviewed and accepted for publication by Journal of Sound and Vibration, Elsevier Ltd. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.jsv.2016.11.018]. 27 p. application/pdf |
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Damaged supports Railway track Wang, Longqi Zhang, Yao Lie, Seng Tjhen Detection of damaged supports under railway track based on frequency shift |
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In railway transportation systems, the tracks are usually fastened on sleepers which are supported by the ballast. A lot of research has been conducted to guarantee the safety of railway track because of its importance, and more concern is expressed about monitoring of track itself such as railway level and alignment. The ballast and fasteners which provide strong support to the railway track are important as well whereas the detection of loose or missing fasteners and damaged ballast mainly relies on visual inspection. Although it is reliable when the fastener is missing and the damaged ballast is on the surface, it provides less help if the fastener is only loose and the damaged ballast is under the sleepers, which are however frequently observed in practice. This paper proposes an approach based on frequency shift to identify the damaged supports including the loose or missing fasteners and damaged ballast. In this study, the rail-sleeper-ballast system is modeled as an Euler beam evenly supported by a series of springs, the stiffness of which are reduced when the fastener is loose or missing and the ballast under the sleepers is damaged. An auxiliary mass is utilized herein and when it is mounted on the beam, the natural frequencies of the whole system will change with respect to the location of the auxiliary mass. The auxiliary mass induced frequency shift is analyzed and it is found the natural frequencies change periodically when the supports are undamaged, whereas the periodicity will be broken due to damaged supports. In fact, the natural frequencies drop clearly when the auxiliary mass moves over the damaged support. A special damage index only using the information of the damaged states is proposed and both numerical and experimental examples are carried out to validate the proposed method. |
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School of Civil and Environmental Engineering |
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School of Civil and Environmental Engineering Wang, Longqi Zhang, Yao Lie, Seng Tjhen |
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Article |
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Wang, Longqi Zhang, Yao Lie, Seng Tjhen |
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Wang, Longqi |
title |
Detection of damaged supports under railway track based on frequency shift |
title_short |
Detection of damaged supports under railway track based on frequency shift |
title_full |
Detection of damaged supports under railway track based on frequency shift |
title_fullStr |
Detection of damaged supports under railway track based on frequency shift |
title_full_unstemmed |
Detection of damaged supports under railway track based on frequency shift |
title_sort |
detection of damaged supports under railway track based on frequency shift |
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2017 |
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https://hdl.handle.net/10356/82947 http://hdl.handle.net/10220/42348 |
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1681048655609462784 |