Journal article
Ultrasonic Tomography for Three-Dimensional Imaging of Internal Rail Flaws Proof-of-Principle Numerical Simulations
Transportation research record, v 2374(2374)
01 Jan 2013
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Proof-of-principle numerical simulations demonstrate the technology of ultrasonic tomography for three-dimensional (3-D) imaging of internal rail flaws. New technologies are needed to quantify internal rail flaws so as to ensure increased safety of rail transportation and reduced rail maintenance costs. The technique of ultrasonic tomography was applied to the detection of a 5% head area transverse defect in the rail head. Finite element models of ultrasonic tomographic arrays on a flawed rail were built, followed by an algorithm designed to perform the tomographic imaging of the internal rail flaw in three dimensions. The results showed excellent 3-D imaging performance. The work confirms the potential of ultrasonic tomography for the quantitative verification of internal rail flaws.
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Details
- Title
- Ultrasonic Tomography for Three-Dimensional Imaging of Internal Rail Flaws Proof-of-Principle Numerical Simulations
- Creators
- Francesco Lanza di Scalea - University of California, San DiegoPiervincenzo Rizzo - Gettysburg CollegeSalvatore Salamone - State University of New YorkIvan Bartoli - Drexel UniversityLeith Al-Nazer - Federal Railroad Administration
- Publication Details
- Transportation research record, v 2374(2374)
- Publisher
- Natl Acad Sciences
- Number of pages
- 7
- Grant note
- FRA, U.S. Department of Transportation
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000329561700019
- Scopus ID
- 2-s2.0-84891613367
- Other Identifier
- 991019168471904721
UN Sustainable Development Goals (SDGs)
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Civil
- Transportation
- Transportation Science & Technology