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16th WCNDT 2004 - World Conference on NDT
CD-ROM Proceedings, Internet Version of ~600 Papers
Aug 30 - Sep 3, 2004 - Montreal, Canada
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SESSION: RAILROAD INSPECTION
ABSTRACT:
LASER-AIR HYBRID ULTRASONIC TECHNIQUE FOR DYNAMIC RAILROAD INSPECTION 
APPLICATIONS 
S. Kenderian1, B. B. Djordjevic1, D. Cerniglia2, G. Garcia3, and R. Morgan3
1the Johns Hopkins University, Baltimore, Maryland, USA; 2University of Palermo, Palermo, Italy, 
3Transportation Technology Center, Inc., Pueblo, Colorado, USA.

Laser-Air Hybrid Ultrasonic Technique (LAHUT) combines laser generation with air-coupled detection of 
ultrasound.  The technique is non-contact and has the characteristic of operating from remote distances. 
Acoustic wave laser-generation apparatus can be meters away from the interrogated surface while air-
coupled detection standoff can be on the order of several centimetres.  The technique has the unique 
capability of interrogating structural materials in their true industrial environment.  Dynamic tests are 
performed on parts with complex geometry, limited accessibility and curved surfaces.  Also, dark and rough 
finish surfaces, which significantly reduce the efficiency of optical detection techniques, can be interrogated 
successfully.  These characteristics make the LAHUT ideal for many industrial applications including the 
railroad industry.  It was developed for railroad inspections targeting the most critical cracks in rails and 
wheels.  State of the art inspection techniques available to the railroad industry often miss Vertical Split 
Head (VSH) and Transverse Detail Defect (TDD), which lie in unfavourable positions and orientations in 
the rail head.  No method exists to perform dynamic inspections of the rail base or any part of the railroad 
wheel.  Laboratory experiments were performed for the detection of TDD and Proof Of Concept (POC) field 
tests were performed for VSH, rail base cracks, thermal fatigue cracks along the wheel flange and tread and 
subsurface Shattered Rim Cracks (SRC) along the wheel tread.  The results were successful and highly 
repeatable.  The technique lends itself for digital collection and automated processing of data making the 
LAHUT a very strong candidate for next-generation railroad inspection technique.

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MAIN AUTHOR:Shant Kenderian, The Johns Hopkins University, United States
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