Conference proceeding
Non-contact rail flaw detection system: First field test
SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2007, PTS 1 AND 2, v 6529(1), pp 65293W-65293W-11
01 Jan 2007
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Researchers at UCSD, with the initial support of NSF and the current support of the Federal Railroad Administration (FRA), have been working on a flaw detection prototype for rails that uses non-contact ultrasonic probing and robust data processing algorithms to provide high speed and high reliability defect detection in these structures. Besides the obvious advantages of non-contact probing, the prototype uses ultrasonic guided waves able to detect and quantify transverse cracks in the rail head, notoriously the most dangerous of all rail track defects. This paper will report on the first field test which was conducted in Gettysburg, PA in March 2006 with the technical support of ENSCO, Inc. Good results were obtained for the detection of both surface-breaking and internal cracks ranging in size from 2% cross-sectional head area (H.A.) reduction to 80% H.A. reduction.
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Details
- Title
- Non-contact rail flaw detection system: First field test
- Creators
- Piervincenzo Rizzo - University of PittsburghStefano Coccia - University of California—San DiegoFrancesco Lanza di Scalea - University of California—San DiegoIvan Bartoli - University of California—San DiegoMahmood Fateh - Federal Railroad Administration
- Contributors
- M Tomizuka (Editor)C B Yun (Editor)Giurgiutiu (Editor)
- Publication Details
- SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2007, PTS 1 AND 2, v 6529(1), pp 65293W-65293W-11
- Series
- Proceedings of SPIE
- Publisher
- Spie-Int Soc Optical Engineering
- Number of pages
- 11
- Grant note
- DTFR53-02-G-00011 / University of California, San Diego by the Federal Railroad Administration (FRA) of the U.S. Department of Transportation FRA's Office of Research and Development
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000247832000117
- Scopus ID
- 2-s2.0-35548949809
- Other Identifier
- 991020547614804721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Engineering, Aerospace
- Engineering, Civil
- Engineering, Mechanical
- Remote Sensing