Paper Presentation at the 2016 TRB Annual meeting

 

Paper Presentation at the 2016 TRB Annual meeting

The Transportation Research Board (TRB) 95th Annual Meeting was held January 10–14, 2016 at the Walter E. Washington Convention Center, in Washington, D.C. This year nearly 5400 papers were submitted to TRB. Approximately half of these papers were presented at the Annual Meeting, and about 20 percent will be published in the Journal of the Transportation Research Board.

A part of the results of the research carried out by Niloofar Minbashi in The paper entitled as “Effective Turnout Geometry Maintenance Using Power Spectral Density” were presented at Session 596, Current Research in Railway Maintenance on Tuesday, January 12, 2016 from 10:45AM to 12:30PM.

The paper has also been among the 20% of the 5400 papers which will be published in the Journal of the Transportation Research Board (Transportation Research Record).

The authors of the paper would like to thank Dr. Hamed Ahangari for presenting the paper at TRB on their behalf at TRB.

 

The abstract of the paper and the presented poster at TRB are as below;

 

                Effective Turnout Geometry Maintenance Using Power Spectral Density

(Paper No. 16-3655)

 

Niloofar Minbashi1; Morteza Bagheri¹; Amir Golroo2; Iman Arasteh Khouy³

 

¹School of  Railway Engineering, Iran University of Science and Technology, Iran

²Department of Civil and Environmental Engineering, Amirkabir University of Technology, Iran

³Luleå Railway Research Centre (JVTC), Luleå University of Technology, Sweden

 

ABSTRACT

The purpose of this study is to assess the geometrical quality of railway turnouts through application of Power Spectral Density (PSD). PSD in form of a continuous curve can show turnout irregularities by means of wavelength and amplitude. As a case study, the data related to longitudinal level parameter measurements for four turnouts in the Swedish Railways from 2007 to 2011 have been acquired. The PSD curves for these measurements have been calculated by means of ProVal software. The PSD curves have been compared by PSD standard in a programme written in MATLAB and turnout irregularities have been determined. The results show that PSD is able to demonstrate the condition of turnouts individually and can also identify the wavelength faults present in different sections of a turnout. More importantly, PSD can be applied to prioritize maintenance needs of turnouts based on their criticality. Using PSD can help identifying tamping needs more precisely. As a result, the geometrical quality can be restored before exceeding the defined maintenance thresholds. This maintenance action also would reduce the total downtime, obligatory speed reductions, and the maintenance costs.

 

 

 

 

 

 

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