Szczegóły publikacji
Opis bibliograficzny
Non-contact ultrasonic guided wave inspection of rails / S. Mariani, T. V. Nguyen, R. R. Phillips, P. KIJANKA, F. L. di Scalea, W. J. STASZEWSKI // W: Structural health monitoring 2013 : a roadmap to intelligent structures : proceedings of the 9th International workshop on Structural Health Monitoring : Stanford, September 10–12, 2013, Vol. 2 / ed. Fu-Kuo Chang. — Lancaster : DEStech Publications, cop. 2013 + CD. — ISBN: 978-1-60595-115-7. — S. 2570–2577. — Bibliogr. s. 2577, Abstr. — W bazie Web of Science brak afiliacji AGH
Autorzy (6)
- Mariani Stefano
- Nguyen Thompson V.
- Phillips Robert Ronald
- AGHKijanka Piotr
- Scalea Lanza Francesco di
- AGHStaszewski Wiesław Jerzy
Dane bibliometryczne
| ID BaDAP | 76347 |
|---|---|
| Data dodania do BaDAP | 2013-10-04 |
| Rok publikacji | 2013 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | 9th International Workshop on Structural Health Monitoring |
Abstract
The University of California at San Diego (UCSD), under a Federal Railroad Administration (FRA) Office of Research and Development (R&D) grant, is developing a system for high-speed and non-contact rail integrity evaluation. A prototype using an ultrasonic air-coupled guided wave signal generation and air-coupled signal detection has been tested at the UCSD Rail Defect Farm. In addition to a real-time statistical analysis algorithm, the prototype uses a specialized filtering approach due to the inherently poor signal-to-noise ratio of the air-coupled ultrasonic measurements in rail steel. The laboratory results indicate that the prototype is able to detect internal rail defects with a high reliability. Extensions of the system are planned to add rail surface characterization to the internal rail defect detection. In addition to the description of the prototype and test results, numerical analyses of ultrasonic guided wave propagation in rails have been performed using a LISA algorithm and some of these results are shown. The numerical analysis has helped designing various aspects of the prototype for maximizing its sensitivity to defects.
