Journal article
Identification of Bending Modes of Vibration in Rails by a Laser Doppler Vibrometer on a Moving Platform
Experimental techniques (Westport, Conn.), v 45(1), pp 13-24
01 Feb 2021
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper introduces a method to identify the bending modes of vibration of railway tracks by using a laser Doppler vibrometer (LDV) mounted on a moving platform. Two sets of experiments were conducted at Transportation Technology Center Inc. (TTCI) in Pueblo Colorado, in order to validate the proposed method. First, the bending vibration modes were identified using the signals collected from a rail span (rail section between two consecutive sleepers) by accelerometers under moving car excitation. Then, vibration measurements from rail spans were obtained by using an LDV mounted on the moving railcar. All tests were carried out at four different rail car speeds: 8 km/h (5 mph), 16 km/h (10 mph), 35 km/h (22 mph), and 45 km/h (28 mph). To find LDV signal segments corresponding to rail spans, a novel approach based on the sleeper passing frequency is introduced. Comparison of the results from both sets of tests demonstrated good agreement for all speeds.
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Details
- Title
- Identification of Bending Modes of Vibration in Rails by a Laser Doppler Vibrometer on a Moving Platform
- Creators
- K. Kaynardag - The University of Texas at AustinG. Battaglia - University of PalermoA. Ebrahimkhanlou - The University of Texas at AustinA. Pirrotta - University of PalermoS. Salamone - The University of Texas at Austin
- Publication Details
- Experimental techniques (Westport, Conn.), v 45(1), pp 13-24
- Publisher
- Springer Nature
- Number of pages
- 12
- Grant note
- DTFR53-17-C-00024 / Federal Railroad Administration of the U.S. Department of Transportation
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000568479400002
- Scopus ID
- 2-s2.0-85090975481
- Other Identifier
- 991021890009904721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Mechanical
- Materials Science, Characterization & Testing
- Mechanics